3,122 Big Data Technologies jobs in the United States

Job Description: The Data Science Engineering Analyst will play a pivotal role in analysing complex datasets, designing and implementing predictive models, and deriving actionable insights to drive business decisions. This position requires a combination of data engineering skills and data science expertise to ensure robust data pipelines and effective analytical solutions. Responsibilities: Apply advanced statistical methods to large complex data sets to understand impact of abuse to the client ecosystem. Contribute strategy and development of new workflows against additional known vectors of abuse. Learn complex and technical concepts and systems and deliver meaningful results using them. Communicate highly technical results and methods clearly. Maintain, foster and promote quality by providing regular feedback metrics to the Global team. Manage technological solutions for streamlining quality assurance and produce scalable training solutions to emergent workflows. Perform deceptive/manipulated content and generative AI investigations using various data sources, identify product vulnerabilities and drive anti-abuse experiments to prevent abuse. Work with engineers and interact cross-functionally with stakeholders to improve workflows via process improvements, automation and anti-abuse system creation. Develop high quality training materials, create consensus and maintain communication for client with business stakeholders. Experience: 3 years of experience in data management, metrics analysis, experiment design and automation. Experience with classification systems, ranking systems, or similar. Experience collecting, managing, and synthesizing large data sets and information from disparate sources, statistical modelling, data mining and data analysis. #J-18808-Ljbffr

As a Senior Lead Software Engineer at JPMorgan Chase within the Commercial and Investment Bank's Digital and Platform Services team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job responsibilities

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Serves as a function-wide subject matter expert in one or more areas of focus
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
• Influences peers and project decision-makers to consider the use and application of leading-edge technologies
• Adds to the team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Advanced in one or more programming language(s) - Python
• Experience in data manipulation libraries, and related software engineering platforms/frameworks
• Experience with AWS including EC2, ASG, Lambda, EKS, Code Deploy, & others
• Experience with different Relational and non-SQL data stores (RDS, Graph, S3, etc.)
• Experience working with end-to-end, fully automated CI/CD pipelines using frameworks like Jules, Spinnaker, Code Deploy, etc.
• Experience in data workflow orchestration e.g. Apache Airflow
• Experience with big data technologies and distributed computing frameworks
• Experience and proficiency across the data lifecycle including data governance

• Experience training and deploying Artificial Intelligence and Machine Learning models
• Knowledge of linear algebra, statistics algorithms
• Experience in Agentic Frameworks
• Experience with Databricks
• Experience in a large banking or financial services environment

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Base Pay/Salary
Chicago,IL $147,250.00 - $25,000.00 / year; Jersey City,NJ 171,000.00 - 260,000.00 / year

Join to apply for the Data Engineering role at targetjobs UK 3 days ago Be among the first 25 applicants Join to apply for the Data Engineering role at targetjobs UK Get AI-powered advice on this job and more exclusive features. Summary Digital Futures is looking for aspiring data engineering consultants to join our Future Talent Programme. The Future Talent Programme offers a unique entry point for individuals looking to start their career in technology. The programme begins with immersive training at the Digital Futures Academy, where trainees gain the essential technical expertise, consulting skills, and practical experience required for success. Following the successful completion of our Academy and attainment of an industry certification, trainees will then be deployed as consultants within high-performing technology teams at one of Digital Futures clients. Summary Digital Futures is looking for aspiring data engineering consultants to join our Future Talent Programme. The Future Talent Programme offers a unique entry point for individuals looking to start their career in technology. The programme begins with immersive training at the Digital Futures Academy, where trainees gain the essential technical expertise, consulting skills, and practical experience required for success. Following the successful completion of our Academy and attainment of an industry certification, trainees will then be deployed as consultants within high-performing technology teams at one of Digital Futures clients. Your journey with us Training – Your journey with Digital Futures starts with 12-weeks of free immersive training, during which our team of expert instructors will help you learn essential technical and consulting skills to prepare you for your career in data. Our training is delivered remotely, with one-to-one mentoring and group project work. Certification – As part of your graduation from the Digital Futures Academy, you will achieve the AWS Data Engineer Associate certification. The cost of your certification is covered by Digital Futures. Employment – Once your deployment has been secured, we will offer you a full-time employment contract with Digital Futures. Throughout this time, you will work as a consultant in a technology team at one of the world’s leading companies, applying your skills to exciting, innovative and impactful projects. Your immersive training Technical Skills The Data Engineering pathway at the Digital Futures Academy covers the key technical skills and concepts needed to be successful in your first role in data. The technical skills training is underpinned by a comprehensive consulting skills curriculum to ensure that our consultants are workplace ready ahead of starting roles with our clients. Modules taught at the Digital Futures Academy include: Coding fundamentals (Python, SQL) Data modelling and data warehousing Extract-Transform-Load (ETL) Creating data pipelines Ethics in data and AI Cloud and big data technologies (PySpark, AWS) Working with unstructured data Consulting Skills Effective teamwork Business acumen Time management Stakeholder management Presentations Agile methodology Being a brand ambassador Being a Digital Futures consultant Role Consulting roles with our clients are varied and give you the hands-on opportunities to gain the experience you need for success. As a data engineering consultant, you will be: Working with fellow data engineers to design and implement data pipelines. Building and maintaining ETL processes to ingest, transform, and store data from various sources. Collaborating with data scientists and analysts to ensure that data is properly formatted and accessible. Troubleshooting and resolving data pipeline and infrastructure issues. Helping to design and maintain data warehouses, data lakes, and other data storage solutions. Developing Generative AI powered data solutions. Ensuring that data is properly secured and follows industry best practices Staying up to date with new data engineering technologies and techniques What are we looking for? Education You don’t need any previous formal education or commercial experience in tech or data to join our Future Talent Programme, as long as you can demonstrate the following: An understanding of the basics of Python A genuine interest in tech and how it can help the world A growth mindset with a commitment to lifelong learning Self-starting and motivated by personal development Intellectually curious with great problem-solving skills A team player and collaborative in nature A delivery mindset with the ability to get things done Truly motivated to take the first step to starting a career in tech Key programme information Please note the following important information before submitting an application to the Future Talent Programme: Start Date - 15 September 2025 Locations: Following the training, roles with our clients will be located across the UK, including in: London, Stevenage, Bristol, Norwich, Leeds, Sheffield and Halifax. You must be available to commute or relocate to one of these locations to apply. Salary: Upon starting your deployment with one of our clients and becoming a permanent employee of Digital Futures, the salary is: Year 1 - £27,500 per annum plus benefits Year 2 - £2,000 per annum plus benefits, subject to performance review Benefits: Once you become a permanent employee of Digital Futures you will have access to: a comprehensive benefits package and pension contributions an Employee Referral Scheme – earn up to £1 00 per referral an Incentives Scheme which will allow you to access funds for additional training and certifications. You must have the right to work in the UK from the start date of the programme. Why join Digital Futures? Digital Futures is a mission-led technology services company specialising in strategic workforce solutions. Our mission is to accelerate the transition to a skills-based economy and create sustainable employment opportunities across the UK by challenging conventional thinking and bridging the gap between education and industry — equipping exceptional talent from all backgrounds with the skills, knowledge, and confidence to succeed. Our Future Talent programme focuses on uncovering potential, rather than on background or experience. In doing so, we unlock exceptional talent and help people to thrive in their first role in tech. We focus not only on preparing you for your first consulting role with us, but also on setting you up for success for your future career. If you have the right mindset and drive, we will help you reach your career goals, preparing you to become a leader of tomorrow. Seniority level Seniority level Internship Employment type Employment type Full-time Job function Job function Information Technology Industries Technology, Information and Internet Referrals increase your chances of interviewing at targetjobs UK by 2x Get notified about new Data Specialist jobs in Norwich, CT . 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Bring your skills as a Manager, Supply Chain Data Science & Engineering!to a growing Fortune 500 retail company and certified Great Place to Work!The Manager, Supply Chain Data Science & Engineering will leverage analytical insights to support Burlington’s supply chain organization through a variety of non-routine projects that are aligned with the organizational goals and drive business outcomes. This multifaceted role will effectively collaborate with cross-functional teams across Burlington to conceptualize, plan, and execute projects successfully and effectively communicate outcomes to stakeholders.A Day In the LifePartner with teams across the organization to proactively identify opportunities to improve existing supply chain service models or create new models.Analyze data from various sources across the organization to identify patterns, trends, and insights to support informed and holistic decision making.Transform analytical findings into clear, actionable recommendations to influence critical business decisions.Communicate project updates and outcomes to key stakeholders across the organization, addressing issues/risks and making adjustments as needed.Additional responsibilities include partnering with Engineering Foundations and Engineering Excellence teams to provide cross-functional project support.You'll Come With:Bachelor's degree in business, supply chain management, engineering, or math-related field is required at the minimum. Master's degree or relevant certifications preferred.5+ years of experience in projects related to cost modeling and business optimization, preferably in the Distribution Center Operations in a National Logistics Network.Strong time management and ability to multi-task in a fast-paced environment.Ability to navigate ambiguity to deliver pragmatic scenario modelling.Proficiency in data gathering and analysis and the ability to use data-driven insights to inform decision-making.Ability to effectively communicate analytical insights to a broad range of stakeholders.Ability to work cross-functionally and effectively manage senior collaborator relationships.Willingness and ability to travel up to 25% to support project execution and collaborate with cross-functional teams.Come join our team. You’re going to like it here!You will enjoy a competitive wage, flexible hours, and an associate discount. Burlington’s benefits package includes medical, dental and vision coverage including life and disability insurance. Full time associates are also eligible for paid time off, paid holidays and a 401(k) plan.We are a rapidly growing brand and provide a variety of training and development opportunities so our associates can grow with us. Our teams work hard and have fun together! Burlington associates make a difference in the lives of customers, colleagues, and the communities where we live and work every day. Burlington Stores, Inc. is an equal opportunity employer committed to workplace diversity.#LI-CG1

Data Engineering & Big Data Architect Technology Architect - US Company ITL USA Requisition ID 135930BR Infosys is seeking a highly experienced Data Engineering & Big Data Architect to join our team and perform Technical Product management/Data analyst tasks and own the development of a Tiered data architecture for our data platform . In this role, they would be responsible for crafting and building a comprehensive data architecture that will enable seamless data integration and enable the delivery of high-quality insights to our leadership and business stakeholders. You will collaborate with some of the best talent in the industry to create and implement innovative high-quality solutions, lead, and participate in sales and pursuits focused on our clients' business needs. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued. Candidate must be located within commuting distance of Austin, TX/ Sunnyvale, CA or be willing to relocate to the area. This position may require travel to project locations Required Qualifications: Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. At least 7 years of experience in Information Technology. Experience with Hadoop distributed frameworks while handling large amount of data using Spark or PYSpark and Hadoop Ecosystems. Proven experience in data engineering, data architecture, or a related field Experience with Spark or PySpark is required. Strong understanding of data modeling, data warehousing, and ETL concepts Proficiency in SQL and experience with at least one major data analytics platform, such as Hadoop or Spark Experience with Scala or Python is required. Preferred Qualifications: Experience in understanding of Design Patterns, ability to discuss tradeoffs between RDBMS vs Distributed Storage At least 5 years of Experience with Spark or PySpark, Python, Scala and Data Engineering Experience in design and implementing a tiered data architecture that integrates analytics data from multiple sources in an efficient and effective manner. Experience with data orchestration tools like Airflow is a nice to have. Excellent problem-solving and analytical skills, and the ability to work well under tight deadlines. Excellent interpersonal skills and the ability to collaborate effectively with cross-functional teams. Experience in developing data models and mapping rules to transform raw data into actionable insights and reports. Experience in collaborating with the analytics and business teams to understand their requirements, with cross-functional teams to define and implement data governance policies and standards. Experience in developing data validation and reconciliation processes to ensure data quality and accuracy is met. Experience with development and maintenance of user documentation, including data models, mapping rules, and data dictionaries. Estimated annual compensation range for candidate based in the below locations will be: Sunnyvale, CA- $104079 -$75310 Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits :- Long-term/Short-term Disability Health and Dependent Care Reimbursement Accounts Insurance (Accident, Critical Illness , Hospital Indemnity, Legal) 401(k) plan and contributions dependent on salary level The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements. Job description Infosys is seeking a highly experienced Data Engineering & Big Data Architect to join our team and perform Technical Product management/Data analyst tasks and own the development of a Tiered data architecture for our data platform . In this role, they would be responsible for crafting and building a comprehensive data architecture that will enable seamless data integration and enable the delivery of high-quality insights to our leadership and business stakeholders. You will collaborate with some of the best talent in the industry to create and implement innovative high-quality solutions, lead, and participate in sales and pursuits focused on our clients' business needs. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued. Candidate must be located within commuting distance of Austin, TX/ Sunnyvale, CA or be willing to relocate to the area. This position may require travel to project locations Required Qualifications: Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. At least 7 years of experience in Information Technology. Experience with Hadoop distributed frameworks while handling large amount of data using Spark or PYSpark and Hadoop Ecosystems. Proven experience in data engineering, data architecture, or a related field Experience with Spark or PySpark is required. Strong understanding of data modeling, data warehousing, and ETL concepts Proficiency in SQL and experience with at least one major data analytics platform, such as Hadoop or Spark Experience with Scala or Python is required. Preferred Qualifications: Experience in understanding of Design Patterns, ability to discuss tradeoffs between RDBMS vs Distributed Storage At least 5 years of Experience with Spark or PySpark, Python, Scala and Data Engineering Experience in design and implementing a tiered data architecture that integrates analytics data from multiple sources in an efficient and effective manner. Experience with data orchestration tools like Airflow is a nice to have. Excellent problem-solving and analytical skills, and the ability to work well under tight deadlines. Excellent interpersonal skills and the ability to collaborate effectively with cross-functional teams. Experience in developing data models and mapping rules to transform raw data into actionable insights and reports. Experience in collaborating with the analytics and business teams to understand their requirements, with cross-functional teams to define and implement data governance policies and standards. Experience in developing data validation and reconciliation processes to ensure data quality and accuracy is met. Experience with development and maintenance of user documentation, including data models, mapping rules, and data dictionaries. Estimated annual compensation range for candidate based in the below locations will be: Sunnyvale, CA- $1 4079 - 175310 Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits :- Medical/Dental/Vision/Life Insurance Long-term/Short-term Disability Health and Dependent Care Reimbursement Accounts Insurance (Accident, Critical Illness , Hospital Indemnity, Legal) 401(k) plan and contributions dependent on salary level Paid holidays plus Paid Time Off The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements. About Us Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability. #J-18808-Ljbffr

Job Title Azure Data Engineer

Irving TX Onsite

Desired Skills

1Possess a minimum of 5 years of experience in data engineering and development

2Strong experience in designing and implementing data solutions using Azure data services Azure Databricks Azure Data Lake Azure Synapse Analytics Azure Data Factory

3Have a strong background in Retail CPG domain

4Proficiency in SQL TSQL and data modelling techniques

5Experience with PySpark and orchestration tools like Apache Airflow are highly desirable

6Hands on experience with scripting languages such as Python for data processing and manipulation

7Strong analytical and problemsolving skills

8Excellent communication and interpersonal skills with ability to work effectively in a collaborative team environment

9Knowledge on Databricks Unity Catalog and visualization tools like Power BI is a plus

Roles and responsibilities

1Develop and optimize data workflows using PySpark ADLS and Databricks workflows to support business objectives

2Implement and maintain data pipelines to ensure efficient data processing and storage

3Collaborate with crossfunctional teams to gather requirements and deliver data solutions that meet business needs

4Provide technical expertise in the design and implementation of data solutions ensuring scalability and performance

5Monitor and troubleshoot data workflows to ensure reliability and accuracy of data processing

6Apply Spark in Python for advanced data processing and analytics

7Build automation solutions and utilities to eliminate manual efforts and repetitive tasks

8Utilize Databricks SQL for effective data management and querying

9Implement monitoring solutions in Azure to track resource utilization performance and health of data workflows

10Manage and organize data assets using Databricks Unity Catalog

11Leverage Azure DevOps for continuous integration and deployment of data solutions

12Secure data workflows using Azure Key Vault and ensure compliance with data security standards

**Relocation Assistance Available** Business Context Marriott Vacations Worldwide (MVW) is a leading global vacation company that offers vacation ownership, exchange, rental and resort and property management, along with related businesses, products, and services. The Company has over 1.