169 Software Analytics jobs in the United States

Who we are

At CXApp, we are the innovators of Indoor Intelligence, delivering actionable insights for people, places and things. Our flagship product the "CXApp" is a workplace experience platform for the enterprise. Our technologies and solutions help enterprise customers deliver a comprehensive business journey in a work 'from-anywhere' world for employees, partners, customers, and visitors.

We take pride in the way we positively impact the daily lives of our customers and continue to push the boundaries of how our platform can benefit others.

The technology

The CXApp platform tech stack uses native mapping, analytics, on-device positioning and app technologies. The overall solution helps organizations provide a frictionless work environment to employees with features such as: hot desk and room booking, indoor navigation with turn-by-turn directions on a digital map, company-wide news feeds, an in-app company directory of colleagues and workplace amenities, as well as bookable opportunities and experiences.

Job brief

We are seeking a talented and experienced Software Engineer to join our dynamic engineering team. As a Software Engineer specializing in enterprise software, analytics, and AI, you will play a crucial role in designing, developing, and maintaining advanced software solutions for our enterprise customers. Your primary focus will be on leveraging analytics and artificial intelligence technologies to deliver innovative software products that drive data-driven insights and decision-making.

Responsibilities:

• Collaborate with cross-functional teams, including product managers, data scientists, and UX/UI designers, to understand customer requirements and translate them into scalable software solutions.
• Design, develop, test, and deploy enterprise software applications with a focus on analytics and AI capabilities.
• Utilize advanced analytics techniques to extract insights from large datasets, enabling data-driven decision-making for our customers.
• Develop and integrate machine learning algorithms and models into software solutions to provide predictive and prescriptive analytics functionality.
• Optimize software performance and scalability by implementing efficient algorithms and leveraging distributed computing frameworks.
• Stay up-to-date with the latest trends and advancements in analytics, AI, and enterprise software development, and incorporate them into our software products.
• Collaborate with the DevOps team to ensure smooth deployment and operation of software applications in production environments.
• Perform code reviews, provide constructive feedback, and mentor junior team members to foster a culture of continuous learning and improvement.
• Troubleshoot and resolve complex software issues, ensuring high-quality and robust software deliverables.

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• Proven experience in enterprise software development, with a focus on analytics and AI.
• Strong programming skills in languages such as Java, Python, or C++, with a solid understanding of object-oriented programming principles.
• Experience with analytics frameworks and libraries, such as TensorFlow, PyTorch, or Scikit-learn.
• Familiarity with big data processing tools and technologies, such as Hadoop, Spark, or Kafka.
• Solid understanding of machine learning concepts and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning.
• Proficiency in designing and implementing RESTful APIs for integrating software applications.
• Strong problem-solving and analytical thinking skills.
• Excellent communication and collaboration abilities to work effectively in a team environment.
• Experience with Agile/Scrum methodologies and practices is a plus.
• Prior experience in the development of enterprise software applications for industries like finance, healthcare, or e-commerce is a plus.

Coupa makes margins multiply through its community-generated AI and industry-leading total spend management platform for businesses large and small. Coupa AI is informed by trillions of dollars of direct and indirect spend data across a global network of 10M+ buyers and suppliers. We empower you with the ability to predict, prescribe, and automate smarter, more profitable business decisions to improve operating margins.

Why join Coupa?

Pioneering Technology: At Coupa, we're at the forefront of innovation, leveraging the latest technology to empower our customers with greater efficiency and visibility in their spend.

Collaborative Culture: We value collaboration and teamwork, and our culture is driven by transparency, openness, and a shared commitment to excellence.

Global Impact: Join a company where your work has a global, measurable impact on our clients, the business, and each other.

Learn more on Life at Coupa blog and hear from our employees about their experiences working at Coupa.

The Impact of a Sr. Principal Software Engineer - Analytics at Coupa:

The Sr. Principal Software Engineer - Analytics & Data will serve as an architect and visionary leader, responsible for the overall design, strategy, and implementation of our analytics and data platform. This role will encompass all aspects of data engineering, analytics applications, and infrastructure, driving innovation, scalability, and performance across the entire ecosystem.

What You'll Do:

• Define and lead the architecture and strategy for Coupa's analytics and data platform, ensuring scalability and business alignment.
• Design and implement robust, high-performance data pipelines, covering ingestion, transformation, storage, and access.
• Oversee development of advanced analytics tools, including interactive visualizations and user-centric data applications.
• Establish best practices for data modeling, orchestration, monitoring, and governance across all initiatives.
• Provide technical leadership, mentorship, and drive innovation through cutting-edge technologies in big data, cloud, and AI/ML.
• Collaborate cross-functionally to deliver secure, scalable solutions, optimizing Spark clusters, APIs, and data warehouse infrastructure.

• 15+ years of experience in Data and Software Engineering within B2B SaaS, including leadership and architectural roles.
• Deep expertise in big data (Spark, Kafka), cloud platforms (AWS), and orchestration tools (Airflow, Luigi).
• Proven track record in architecting large-scale data platforms, cloud-native analytics solutions, and high-performance data pipelines.
• Strong background in SQL, NoSQL, database optimization, and building API-driven microservice architectures (REST, GraphQL).
• Skilled in AI/ML applications for predictive analytics, data harmonization, and classification at scale.
• Effective technical leader and mentor with a strong focus on data governance, quality, and cross-functional collaboration.

Software Engineer - Analytics Platforms & Experiences (APX)

Seattle, Washington, United States

Software and Services

Summary

Posted: Apr 29, 2025

Weekly Hours: 40

Role Number: 200601877-3337

People at Apple don’t just build products — they craft the kind of experience that has revolutionized entire industries. The diverse collection of our people and their ideas inspire innovation in everything we do. Imagine what you could do here! Join Apple, and help us leave the world better than we found it. The Analytics Platforms & Experiences (APX) team is at the forefront of revolutionising Data Engineering. We drive significant increases in efficiency and productivity through a flawless ecosystem of frameworks and products that unlock observability, knowledge and enable data quality-driven orchestration at scale. APX is part of the broader Apple Services Engineering division that powers App Store, Apple TV+, Apple Music, Apple Podcasts, Apple Books, Fitness+, the iTunes Store and more.

Our team builds platform solutions to enable complex data-driven orchestration patterns, deliver actionable insights, and providing intuitive tools to build and manage data pipelines with minimal effort.

We’re seeking a software engineer with knowledge of data engineering domain to join the APX Bedrock team. In this role you will help design and deliver platform solutions which will enable teams in building and operating analytics pipelines more efficiently for Apple. We focus on delivering innovative capabilities and anticipating future technological trends.

Description

We're looking for a junior Software Engineer to join the APX Bedrock team — the foundation of our platform capabilities. You’ll help design and build scalable, user-friendly tools and backend services that make it easier for teams across Apple to manage and operate analytics pipelines efficiently.

KEY RESPONSIBILITIES

• Design and build scalable backend services that integrate big data technologies with microservices for real-time and batch data processing

• Collaborate with internal teams to understand requirements and improve platform capabilities

• Contribute to the design of intuitive developer tools and automation systems

• Stay informed of industry trends and bring forward innovative ideas

Minimum Qualifications

• Bachelor’s Degree in Computer Science, or equivalent related experience

• 3+ years of software engineering experience, preferably in a full-stack or backend role

• Proficiency in building and maintaining backend services using modern programming languages (e.g., Java, Python, Go)

• Solid knowledge of SQL and working with relational or analytical databases

• Knowledge of CI/CD practices and DevOps fundamentals

• Familiarity with data engineering concepts and challenges

Preferred Qualifications

• Hands-on experience integrating or leveraging AI models in applications

• Experience with big data orchestration systems like Airflow

• Experience in building CLI tools

• Experience with container orchestration tools, such as Kubernetes

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.Learn more about Apple Benefits. (

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant ( .

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant ( .

Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.

Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program ( .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world's largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine's Top Company Cultures list and ranked among the World's Most Innovative Companies by Fast Company.

We realize people do not fit into neat boxes. We are looking for curious and empathetic individuals who are committed to developing themselves and learning new skills, and we are ready to help you do that. We cannot complete our mission without building a diverse and inclusive team. We hire the best people based on an evaluation of their potential and support them throughout their time at Cloudflare. Come join us!

Available Locations: Austin Texas

As a member of the Analytics and Reporting (ART) team within CF1 (Zero Trust), you will work alongside other engineers, designers, and product managers to develop and enhance Cloudflare's analytics and reporting capabilities. Your role will involve developing software applications that efficiently handle large-scale data analytics, deliver full-stack solutions that include data ingestion, storage, processing, and visualization layers, contribute to the architecture and continuous improvement of analytics platforms. You will see projects through from conception to deployment, delivering data-driven solutions that empower Cloudflare customers to harness the full potential of Zero Trust.

Technologies we use:

• ART core backend and API services are written in Go.
• We deploy our solutions in Kubernetes environments.
• We utilize Postgres, Clickhouse, and a number of cloud native data store technologies.
• We use HTML, CSS, JavaScript, TypeScript for front-end development.
• Kafka plays a large role at Cloudflare and this team with message streaming.
• For service monitoring we use Prometheus and Grafana.
• For service logging we use Sentry, Elasticsearch and Kibana.

Examples of desirable skills, knowledge and experience

• 3-5+ years of professional experience building and managing reliable and performant software systems at scale, preferably with some experience in our tech stack.
• Experience in designing and architecting distributed systems.
• Experience in designing and implementing REST APIs.
• Experience in SQL, familiarity with common relational database concepts.
• Familiarity with the web and technologies such as web browsers, HTTP, JavaScript.
• Familiarity with Kubernetes, Kafka, Clickhouse.
• Passion for making the digital world a more secure place.
• Willingness, curiosity, and enthusiasm to learn new programming languages, technologies and systems
• Strong interpersonal and communication skills. Caring and empathy are coveted traits here!

Bonus

• Previous experience with building enterprise analytics products.

This role may require flexibility to be on-call outside of standard working hours to address technical issues as needed.

What Makes Cloudflare Special?

We're not just a highly ambitious, large-scale technology company. We're a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare's enterprise customers--at no cost.

Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.

1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here's the deal - we don't store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you'd like to be a part of? We'd love to hear from you!

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.

Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer.

Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at or via mail at 101 Townsend St. San Francisco, CA 94107.

The Scaling team designs, builds, and operates critical infrastructure that enables research at OpenAI.

Our mission is simple: accelerate the progress of research towards AGI. We do this by building core systems that researchers rely on - ranging from low-level infrastructure components to research-facing custom applications. These systems must scale with the increasing complexity and size of our workloads, while remaining reliable and easy to use.

As we grow, we're looking for a pragmatic and versatile software engineer who thrives in fast-moving environments and enjoys building systems that empower others.

This is a generalist software engineering role with an emphasis on distributed systems, data processing infrastructure, and operational excellence. You'll develop and operate foundational backend services that power key OpenAI's research workflows - both by creating new infrastructure and by building on existing systems. The use cases will span across observability, analytics, performance engineering, and other domains, all with the goal of solving meaningful and impactful problems to research.

This role is based in San Francisco, CA or open to being remote within the US. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

• Design, build, and operate scalable backend systems that support various ML research workflows, including observability and analytics.

• Develop reliable infrastructure that supports both streaming and batch data processing at scale.

• Creating internal-facing tools and applications as needed.

• Debug and improve performance of services running on Kubernetes, including operational tooling and observability.

• Collaborate with engineers and researchers to deliver reliable systems that meet real-world needs in production.

• Help improve system reliability by participating in the on-call rotation and responding to critical incidents.

• Strong proficiency in Python/Rust and backend software development, ideally in large codebases.

• Experience with distributed systems and scalable data processing infrastructure, including technologies like Kafka, Spark, Trino/Presto, Iceberg.

• Hands-on experience operating services in Kubernetes, with familiarity in tools like Terraform and Helm.

• Comfort working across the stack - from low-level infrastructure components to application logic - and making trade-offs to move quickly.

• A focus on building systems that are both technically sound and easy for others to use.

• Curiosity and adaptability in fast-changing environments, especially in high-growth orgs.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Compensation Range: $310K - $460K

Do you have a passion for Engineering and want to make a difference, working for one of the biggest companies in the world and a critical player in the financial industry? We in the Analytics team are proud to provide a set of web services for the analysis and pricing of financial instruments as part of the LSEG Financial Analytics platform!

ROLE SUMMARY:

• You will integrate a team of about twenty financial and software engineers and will develop, improve and support our quantitative analytics offering on the Cloud.
• We are looking for intellectually curious people, passionate about the bigger picture of how technology industry is evolving, ready to ask difficult questions and deal with complicated scenarios.
• If you are creative and a problem solver, this is the place to be as we will be supporting you to fast-forward your career.

WHAT YOU'LL BE DOING:

• Support clients and colleagues in integrating, debugging, solving and upgrading our analytics services.
• Work with senior colleagues to craft development algorithms supporting financial industry specific workflows
• Develop tools and applications, reviewing code submitted by peers and producing clean, efficient code
• Integrate software components, quantitative libraries, models and third-party programmes
• Verify and deploy programmes and systems
• Write documentation for reference, reporting and system maintenance.

WHAT YOU'LL BRING:

• Degree in Computer Science, Software Engineering or Electronics / Electrical Engineering
• Good knowledge of C# or equivalent
• 3 years+ experience in a quantitative or software development role applied to finance with significant knowledge of at least one financial instrument.

WHAT YOU'LL GET IN RETURN:

• We are committed to growing our talent by providing every opportunity to learn on the job!

We recognize that to attract the best talent, we need to be flexible and we are open to discussing work arrangements with you. We take hybrid approach to workplace; this role is Blended.

Compensation/Benefits Information:

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership , Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it's used for, and how it's obtained, your rights and how to contact us as a data subject.

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

A healthier future. It's what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That's what makes us Roche.

Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche's Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide.

The Analytics and Workflows group within the Center of Excellence (CoE) is dedicated to turning complex data into actionable insights that advance drug discovery and development. We leverage cutting-edge high-throughput technologies and foundational multimodal machine learning models to analyze large-scale biological data, enabling deeper understanding of disease mechanisms and the identification of novel therapeutic opportunities. Despite advances in these fields, however, transforming raw data and computational models into meaningful biological insights remains a key challenge. In this role, you'll work at the intersection of data science, biology, and engineering to build innovative analytical tools that bridge the gap between data generation and biological interpretation-helping unlock new avenues for scientific discovery and impact.

The Opportunity

Genentech seeks a talented and highly motivated Bioinformatics Software Engineer with expert knowledge of modern genomic data processing workflows and their application to cutting-edge biological sciences. The team you are joining supports scientists with highly scalable and reproducible workflows for the analysis of sequencing data from transcriptomic, genomic, perturbation and (epi)-genetic assays at the bulk and single-cell level.

The primary focus of this position is to establish a suite of workflows and tools for the characterization of cell lines for our growing cell therapies portfolio. You will evaluate, refine, and productionize genomic workflows and incorporate the results into our data platform. You will make use of and are an expert in state of the art variant calling workflows and can interpret the results in a variety of biological contexts. You will communicate your results in scientific discussions, create automated reports and sophisticated data bases and tools allowing for deep analysis of cell lines. To achieve this outcome you confidently evaluate and combine open-source, commercial and in-house developed solutions. A successful candidate will collaborate with interdisciplinary teams of Software Engineers, Computational Biology and Data Scientists to develop scientific workflows and tools that make this data available to machines and humans using a variety of interfaces.

Successful candidates will meet many of the following requirements

• You have a PhD in Software Engineering, Computer Science, Bioinformatics, or similar and 2 years of relevant experience in a clinical, academic or commercial setting. Alternatively, a Masters degree or equivalent and at least 5 years of relevant experience.

• You have expert knowledge of a modern bioinformatics workflow language (WDL, Nextflow, CWL or snakemake) and have deployed workflows in HPC or cloud environments

• You are an expert in variant calling and variant interpretation from short and long reads using traditional and novel deep learning methods.

• You have successfully analyzed large cohorts using an automated workflow system and were involved in all aspects of the process from data acquisition, over workflow development to data processing and interpretation.

• You have successfully delivered multiple software projects throughout the whole development cycle (planning, implementation, testing, release, maintenance) following modern software development practices.

• Experience in managing data according to FAIR principles as well as tracking data lineage, ensuring data quality and improving data discovery is a plus as well as experience with data standards used by large genomics consortia.

• You are able to break down large problems into smaller software components and can develop them independently or as part of a large team.

• You have strong experience in the use of a high-level, object oriented programming language such as Python, Go, R or Java and a strong understanding of Linux/Unix.

• You have knowledge of best practices for software engineering including but not limited to IaC, CI/CD, and software containerization and can develop, deploy and optimize solutions on several levels of the software stack.

• You are comfortable working both independently and collaboratively, and with handling several concurrent, fast-paced projects.

• You are able to execute technical projects at global scale, across multiple teams and time zones.

• You have a strategic, analytical mindset and ability to innovate using technology to advance business goals.

• You have strong communication skills and can untangle and discuss complex technical tasks.

• Prior experience in a life science or drug development environment is beneficial.

What to expect from us

• A highly collaborative and dynamic research environment where we aim to advance the rate of scientific discovery using purposefully built solutions.

• Access to large data sets, samples and compute resources.

• Access to state-of-the-art technologies and pioneering research.

• Participation in seminar series featuring academic and industry scientists.

• Campus-like lifestyle with a healthy work-life balance.

• Mentored opportunities to further develop professional skills.

The expected salary range for this position based on the primary location of California is $142,500 - $264,700. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.

Benefits

This position requires working onsite 3 days per week.

Relocation benefits are available for this posting.

#ComputationCoE

Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.

Senior Software Engineer - Analytics and Data Privacy

Cupertino, California, United States

Software and Services

Summary

Posted: Jul 30, 2025

Weekly Hours: 40

Role Number: 200603921-0836

The Apple Services Engineering (ASE) team is one of the most exciting examples of Apple’s long-held passion for combining art and technology. These are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. And they do it on a massive scale, meeting Apple’s high expectations with high performance to deliver a huge variety of entertainment in over 35 languages to more than 150 countries.

These engineers build secure, end-to-end solutions. They develop the custom software used to process all the creative work, the tools that providers use to deliver that media, all the server-side systems, and the APIs for many Apple services.

Thanks to Apple’s outstanding integration of hardware, software, and services, engineers here partner to get behind a single unified vision. That vision always includes a deep dedication to strengthening Apple’s privacy policy, one of Apple’s core values. Although services are a bigger part of Apple’s business than ever before, these teams remain small, forward-thinking, and multi-functional, offering greater exposure to the array of opportunities here.

The ASE Analytics & Data Engineering organization powers the analytics behind the App Store, Apple TV, Apple Music, Apple Podcasts, Apple Fitness+, Apple Books, Apple Wallet, iCloud, and more. These analytics are used to improve user experience, power features like Search and Recommendations, pay royalties, and improve Apple’s business, all while maintaining utmost user privacy.

We’re looking for an engineer to join the team working on defining the future of our privacy-first instrumentation capabilities. You will work at the intersection of product management and engineering with a number of multi-functional collaborators to answer two main questions: What data should we collect for our products and services and how will we get that data from client devices while preserving privacy?

Description

You’ll be tasked with designing, launching, and supporting new data infrastructure products as vital to answer high-level analytics questions at scale.

Your responsibilities will include all aspects of software development management, from brainstorming, design and analysis to development, implementation and maintenance. Additionally, you'll be tasked with defining the strategy for new data infrastructure products as necessary to answer high-level analytics questions at scale. Finally, you will be expected to create and maintain instrumentation specifications—documents that specify what fields and values are collected and when—for all new features released across ASE products and services.

To accomplish all this, you’ll collaborate with a wide range of collaborators including product managers, client and server engineering, data scientists/business analysts, privacy engineers and attorneys, QA, and more.

You will:

• Design and implement innovative Privacy-preserving systems to be used across ASE products and services

• Design and develop frameworks and tools to collect analytics data from our products and services on all platforms, including iOS, iPadOS, macOS, tvOS, watchOS, visionOS, web browsers, and third party platforms.

• Own the end-to-end product lifecycle for client instrumentation capabilities, creating detailed specifications that provide clear guidance to engineering, data science, and QA stakeholders

• Manage the end-to-end design, launch, and support of new data infrastructure as needed to address sophisticated analytics needs, including technical system design and implementation

• Advise business and engineering team members by serving as a data collection subject-matter-expert who understands how analytics-related asks will impact numerous server and client engineering systems

-Lead discussions with privacy and legal teams to ensure that both Apple’s analytics needs are met and consumer privacy is protected

The people here at Apple don’t just create products — they create the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it.

Minimum Qualifications

• Ability to assist in the creation and enforcement of privacy and compliance policies and guidelines across ASE and Apple

• 5+ years of experience working as a software engineer, technical product manager, or engineering-focused management consultant

• Strong software design skills, coupled with a deep knowledge of data structures and algorithms

• Experience working with large, multi-functional teams spread across multiple locations

• Comfort with translating ambiguous high-level analytics questions into concrete engineering asks

• Clear and concise communication

• Strong prioritization skills with the ability to balance multiple programs simultaneously with overlapping deadlines

• 5+ years of professional experience with some or all of the following: data or analytics systems, frameworks or toolkits, Swift, Objective-C, JavaScript, C/C++, Java, TypeScript, React, Angular, Ember, Vue

• BS or MS in Computer Science or equivalent industry experience

Preferred Qualifications

• Proven experience in Privacy-Enhancing Technologies for large-scale distributed systems

• Experience with differential privacy, private data-synchronization across systems and devices, data minimization, tokenization, cryptography

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.Learn more about Apple Benefits. (

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant ( .

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant ( .

Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.

Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program ( .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Huron helps its clients drive growth, enhance performance and sustain leadership in the markets they serve. We help healthcare organizations build innovation capabilities and accelerate key growth initiatives, enabling organizations to own the future, instead of being disrupted by it. Together, we empower clients to create sustainable growth, optimize internal processes and deliver better consumer outcomes.

Health systems, hospitals and medical clinics are under immense pressure to improve clinical outcomes and reduce the cost of providing patient care. Investing in new partnerships, clinical services and technology is not enough to create meaningful and substantive change. To succeed long-term, healthcare organizations must empower leaders, clinicians, employees, affiliates and communities to build cultures that foster innovation to achieve the best outcomes for patients.

Joining the Huron team means you'll help our clients evolve and adapt to the rapidly changing healthcare environment and optimize existing business operations, improve clinical outcomes, create a more consumer-centric healthcare experience, and drive physician, patient and employee engagement across the enterprise.

Join our team as the expert you are now and create your future.

We're seeking a top-performing, hands-on Senior Lead Software Engineer to join our Clinical Insights team and lead the development of rapidly deployable healthcare analytics products. This is an opportunity for a technical athlete who thrives in fast-paced environments and enjoys working directly with customers to shape the future of healthcare delivery.

You'll be at the forefront of innovation, developing end-to-end solutions that drive insight and impact using tools like Shiny, Streamlit, Quarto, and R Markdown. You'll collaborate with a high-caliber, cross-functional team of PhDs, engineers, product managers, and consultants to create intuitive, scalable analytics tools that are delivered into production at speed.

We're looking for someone who can both architect robust data pipelines and bring results to life through interactive and insightful visual applications. If you are energized by the challenge of solving real-world problems, love iterating quickly, and want your work to improve patient outcomes-this is your role.

Role Summary:

In this role, you will:

• Lead the rapid development and deployment of healthcare analytics products and decision-support tools.

• Design and manage ETL pipelines, leveraging both traditional (e.g., MySQL) and modern platforms (e.g., Snowflake, Databricks) to transform clinical and operational data into actionable insights.

• Build and deploy interactive applications using R and Python with Shiny, Streamlit, Quarto, and R Markdown (Rmd)

• Collaborate directly with healthcare clients, iterating on analytics products based on feedback and measurable outcomes.

• Implement and tune statistical and machine learning models to power diagnostics, forecasts, and simulations.

• Mentor junior developers and help drive best practices across a small, elite team.

Key Responsibilities:

• Build and deploy production-grade analytics products that support healthcare decision-makers.

• Translate product requirements into technical architecture and fast prototypes.

• Maintain and optimize end-to-end data pipelines, ETL processes, and model deployment workflows.

• Drive quality, performance, and speed in analytics delivery across multiple clients.

• Engage with product leadership and customers to deeply understand problems, present solutions, and adapt based on feedback.

Required Qualifications:

• U.S. work authorization is required.

• Bachelor's degree in Computer Science, Data Science, Engineering, or related field (or equivalent experience).

• 7+ years of software development experience, including leading teams or projects.

• Proven expertise developing analytics products in healthcare settings (required).

• Strong proficiency in Python and/or R (required)

• Strong knowledge of relational databases (MySQL preferred); experience designing and maintaining data pipelines.

• Self-starter comfortable with ambiguity and fast-paced iteration.

• Excellent collaboration skills and customer-facing communication.

Preferred Qualifications:

• Experience building solutions in Shiny, Streamlit, Quarto, and Rmd (preferred).

• Experience using Posit Connect or similar tools for deploying analytics products.

• Experience with Snowflake , Databricks , or other modern cloud-based data platforms.

• Agile/Scrum development process familiarity.

• Working knowledge of AWS , Linux , and enterprise-scale data architectures.

• Experience optimizing data workflows and applications for real-world client environments.

The estimated base salary range for this job is $140,000 - $00,000 USD. The range represents a good faith estimate of the range that Huron reasonably expects to pay for this job at the time of the job posting. The actual salary paid to an individual will vary based on multiple factors, including but not limited to specific skills or certifications, years of experience, market changes, and required travel. This job is also eligible to participate in Huron's annual incentive compensation program, which reflects Huron's pay for performance philosophy. Inclusive of annual incentive compensation opportunity, the total estimated compensation range for this job is 161,000 - 250,000 USD. The job is also eligible to participate in Huron's benefit plans which include medical, dental and vision coverage and other wellness programs. The salary range information provided is in accordance with applicable state and local laws regarding salary transparency that are currently in effect and may be implemented in the future.

Position Level

Manager

Country

United States of America

At Huron, we're redefining what a consulting organization can be. We go beyond advice to deliver results that last. We inherit our client's challenges as if they were our own. We help them transform for the future. We advocate. We make a difference. And we intelligently, passionately, relentlessly do great work.together.

Are you the kind of person who stands ready to jump in, roll up your sleeves and transform ideas into action? Then come discover Huron.

Whether you have years of experience or come right out of college, we invite you to explore our many opportunities. Find out how you can use your talents and develop your skills to make an impact immediately. Learn about how our culture and values provide you with the kind of environment that invites new ideas and innovation. Come see how we collaborate with each other in a culture of learning, coaching, diversity and inclusion. And hear about our unwavering commitment to make a difference in partnership with our clients, shareholders, communities and colleagues.

Huron Consulting Group offers a competitive compensation and benefits package including medical, dental, and vision coverage to employees and dependents; a 401(k) plan with a generous employer match; an employee stock purchase plan; a generous Paid Time Off policy; and paid parental leave and adoption assistance. Our Wellness Program supports employee total well-being by providing free annual health screenings and coaching, bank at work, and on-site workshops, as well as ongoing programs recognizing major events in the lives of our employees throughout the year. All benefits and programs are subject to applicable eligibility requirements.

Huron is fully committed to providing equal employment opportunity to job applicants and employees in recruitment, hiring, employment, compensation, benefits, promotions, transfers, training, and all other terms and conditions of employment. Huron will not discriminate on the basis of age, race, color, gender, marital status, sexual orientation, gender identity, pregnancy, national origin, religion, veteran status, physical or mental disability, genetic information, creed, citizenship or any other status protected by laws or regulations in the locations where we do business. We endeavor to maintain a drug-free workplace.