3,669 Principal Data Engineer jobs in the United States

ManTech seeks a motivated, experienced career and client-oriented Principal Data Engineer to join our team in Alexandria, VA.

In this role, you will collaborate with a team of consultants and engineers to provide sophisticated data integration and data management solutions for Government clients. The ideal candidate will have deep data engineering skills and extensive experience with data engineering tools, as well as a client-oriented approach to applying technology to complex problems.

Responsibilities include but are not limited to:

• Design and implement robust data pipelines to ingest, transform, and integrate data from various systems and networks, ensuring seamless data flow.

• Collaborate with cloud and system architects to establish secure and efficient data transfer protocols among different networks and systems.

• Develop and enforce data quality standards, ensuring the accuracy, completeness, and consistency of integrated data.

• Work closely with data scientists, analysts, and other stakeholders to understand data requirements to facilitate analytics and machine learning uses.

• Architect data pipelines and data storage solutions to support analytic workflows.

• Optimize data pipelines and storage solutions for performance, ensuring low latency and high throughput for real-time and batch data processing.

• Implement robust security measures to protect sensitive data and ensure compliance with relevant data security policies and practices.

Minimum Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.

• At least 12 years of experience in data engineering, data architecture, or related roles.

• Extensive experience with ETL tools such as AWS Glue or Talend

• Knowledge of big data technologies like Hadoop, Spark, and Kafka.

• Experience with cloud services from providers such as AWS or Oracle and their data storage and processing services

• Experience with data warehousing, data lakes, and big data technologies

• Proficiency in programming languages such as Python, Java, or SQL

Preferred Qualifications:

• Master’s degree in Computer Science, Information Technology, Engineering, or a related field.

• Experience developing and implementing records management policies and procedures.

• Familiarity with data security and compliance frameworks (e.g., NIST framework).

• Cloud certifications such as AWS Certified Developer, Oracle Cloud Infrastructure.

• Experience with agile development methodologies.

• Knowledge of data governance and metadata management.

• Familiarity with records management standards (e.g., NARA standards).

Clearance Requirements:

• Must possess a current and active TS/SCI with ability to obtain a Polygraph

Physical Requirements:

• Must be able to be in a stationary position more than 50% of the time 

• Must be able to communicate, converse, and exchange information with peers and senior personnel 

• Constantly operates a computer and other office productivity machinery, such as a computer 

• The person in this position frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations 

• The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, etc.

At Hi Marley, we're not just a technology company-we're on a mission to revolutionize the insurance industry with our conversational platform that makes communication simple, efficient, and delightful. Built for carriers, powered by SMS, and designed by insurance experts, Hi Marley connects people through seamless, friendly conversations that save time, money, and hassle. Our platform helps insurance carriers strengthen customer relationships while streamlining operations. With a focus on collaboration, coaching, and powerful analytics, we deliver the insights insurance teams need when they need them-creating a smooth, frictionless experience for customers along the way.

We're hiring a Principal Data Engineer to serve as the technical lead as we expand our data engineering capabilities. In this hands-on leadership role, you'll guide the short- and long-term evolution of our data systems-enhancing the infrastructure that powers internal analytics and customer-facing intelligence. You'll collaborate across product, engineering, and analytics teams to ensure data is structured, secure, and ready to support our continued growth.

As an early technical leader, you'll build scalable pipelines, platform capabilities, and infrastructure that enable trusted insights. You'll also help shape how engineering and analytics collaborate and guide the evolution of the broader data organization.

This is a chance to define how data powers Hi Marley's products, insights, and decision-making-delivering performance, compliance, and lasting business impact.

Teamwork and shared enthusiasm is a core part of our culture, which is why this role involves joining us in the Boston office for two days each week.

What You'll Do:

Platform & Infrastructure

• Lead Data Platform Strategy and Architecture - Help define and deliver a data platform roadmap that supports near-term needs and long-term scale-enabling insights, innovation, and customer value across our products and analytics ecosystem.
• Design and Build Scalable Data Infrastructure in AWS - Build robust systems within an AWS environment to ingest, transform, store, and serve data across multi-tenant and single-tenant use cases-balancing flexibility, security, and performance.
• Deliver Trusted Data Pipelines - Develop reliable and observable pipelines using modern batch and near real-time approaches, connecting internal and external data sources.
• Champion Data Trust and Visibility - Advance practices in data quality, observability, and governance-ensuring our systems are secure, compliant, auditable, and built to meet customer and regulatory expectations.

• Partner to Enable Insights - Work closely with the analytics and product teams to deliver structured, reliable data pipelines that support a growing ecosystem of dashboards, customer-facing analytics, and research-providing the trusted foundation for downstream insights.

• Mentor and Influence Engineering Culture - Provide guidance, share knowledge, and lead by example to establish best practices and grow the data engineering function.
• Shape a Scalable Future - Partner with cross-functional leaders to define and evolve a data platform roadmap that grows with our customers, products, and teams.

• Data Engineering Expertise - 7+ years of experience building reliable, performant data systems, including data modeling, ETL/ELT pipelines, and warehouse optimization.
• Scaled Platform Leadership - Experience growing data infrastructure through stages of scale-whether maturing internal systems, guiding platform modernization, or supporting enterprise-level requirements through times of growth.
• Deep Experience with AWS - Proven track record designing, building, and operating data systems in AWS (e.g., Redshift, S3, Glue, Lambda, IAM, etc.) and optimizing performance, security, and cost in cloud-native architectures.
• Proficiency with Modern Tools - Comfortable with SQL and Python (or similar languages), and hands-on experience with tools like dbt, Airflow, Redshift, Snowflake, or other cloud-native data platforms.
• Trust, Security & Governance Focus - Experience designing systems with built-in privacy, access controls, and governance. Familiarity with secure data handling, regulatory compliance, and data classification in multi-tenant or regulated environments.
• Collaborative and Strategic Mindset - Ability to work across product, engineering, and analytics teams to shape systems that deliver long-term value.
• Customer-Facing Data Enablement - Bonus: Experience designing backend systems that power customer-facing analytics or data-driven product features.
• Supportive Leadership Style - A mentoring mindset and enthusiasm for helping others grow while building a collaborative, inclusive culture.

• Max Courage - we encourage our team, our customers, and their customers to dream big, try new ideas and maximize impact by measuring risk.
• Be Humble - we lead with appreciation and promote a culture of humility, compassion and openness to learn from anyone, anywhere.
• Ubuntu "I am because we are" - we believe true success is much bigger than any single individual or company. By aligning our individual aims behind a shared purpose we can achieve our fullest potential, together.

• Full benefits package for employees working 30+ hours per week, including parental leave, a matching 401k program, and medical, dental, vision, disability, and life insurance.
• Open vacation policy - we all work hard and take time for ourselves when we need it
• Competitive salary and generous stock options - we all get to own a piece of what we're building
• A fun, lively startup culture
• Core values-based leadership
• A culture of employee engagement, diversity and inclusion
• Ample opportunities to learn and take on new responsibilities in a fast-paced, growth-mode startup

Job Description

Summary:

We are seeking a hands-on Principal Data Engineer to lead the development of a new, strategic data initiative focused on regulatory reporting and enterprise data centralization. This is a high-impact role embedded within a cross-functional team, working directly with stakeholders, architects, and engineers to build scalable data solutions that support Large Financial Institution (LFI) compliance and long-term growth.

This is a new development project-not maintenance-offering the opportunity to shape architecture, mentor teammates, and drive innovation in a fully Azure-based environment.

Responsibilities:

• Lead the design and development of data pipelines using Azure Data Factory (ADF) and Databricks

-Build and optimize data flows into a centralized Enterprise Data Platform (EDP) for regulatory and analytical use cases

• Collaborate with architects and business stakeholders to translate requirements into scalable data solutions

• Mentor 2-3 engineers and 1 analyst (dotted-line reporting, no direct reports)

• Ensure strong documentation and promote a collaborative, transparent development culture

• Work closely with onshore and offshore resources to deliver high-quality solutions

• Support data governance initiatives using Informatica and other tools

• Apply strong soft skills to communicate complex technical concepts in layman's terms

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

• Bachelor's Degree

• 8+ years of experience in data engineering

• Proven track record in lead roles or having leadership responsibilities

• Expertise in Azure Data Factory (ADF) and building ADF pipelines

• Hands-on experience with Databricks

• Comfortable building and maintaining CI/CD pipelines as part of daily responsibilities

• Proficient in Synapse Analytics and Synapse Notebooks

• Strong skills in PL/SQL and SQL stored procedures

• Familiarity with Python and PySpark (plug-in usage; fluency not required)

• Solid understanding of data warehousing concepts

• Experience working with data governance tools

• Excellent communication, documentation, and stakeholder engagement skills - Familiarity with regulatory reporting and LFI requirements

• Experience with data governance tools, preferably Informatica null

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to

Job Posting Title:

Principal Data Engineer

Req ID: 10111992

Disney Entertainment & ESPN Product & Technology (DEEP&T)

On any given day at Disney Entertainment & ESPN Product & Technology (DEEP&T), were reimagining ways to create magical viewing experiences for the worlds most beloved stories while also transforming Disneys media business for the future. Whether thats evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disneys unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world.

• Building the future of Disneys media business: DEEP&T Technologists are designing and building the infrastructure that will power Disneys media, advertising, and distribution businesses for years to come.
• Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more.
• Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news.

About The Role & Team
The Product & Data Engineering team is responsible for end to end development for Disneys world-class consumer-facing products, including streaming platforms Disney+, Hulu, and ESPN+, and digital products & experiences across ESPN, Marvel, Disney Studios, NatGeo, and ABC News. The team drives innovation at scale for millions of consumers around the world across Apple, Android, Smart TVs, game consoles, and the web, with our platforms powering core experiences like personalization, search, messaging and data.

• Design and develop scalable, high-performance data architecture that supports both operational and analytical use cases.
• Lead the integration of new data management technologies and software engineering tools into existing structures.
• Collaborate with cross-functional teams including product management, software engineers, data scientists, and other stakeholders to align architecture with business requirements.
• Ensure data security, compliance, and privacy standards are met in accordance with company policies and regulations.
• Drive innovation in data processing and analytics, exploring emerging technologies and methodologies.
• Provide technical leadership and mentorship to the data architecture platform team.
• Oversee the documentation and communication of architectural designs and standards.

• At least 10+ years of experience in data architecture, engineering, or related field
• Expertise in cloud-based data platforms (AWS, GCP, Azure) and big data technologies (Hadoop, Spark, Kafka)
• Expertise in MPP and SaaS Data Products like Snowflake, Redshift etc.
• Strong knowledge of database design, SQL, and data warehousing principles
• Proven ability to lead complex projects and cross-functional teams
• Excellent problem-solving, communication, and leadership skills

• Experience in the media/entertainment industry.
• Knowledge of streaming data platforms and real-time analytics.
• Familiarity with GDPR, CCPA, and other data privacy regulations.
• Experience with data modeling, ETL processes, and data integration tools.
• Experience with building SDLC for developing and implementing cost-effective large-scale data platforms from real-time/batch ingestion to delivering analytics feedback and reporting to consumers.
• Understanding different file formats (parquet, ORC etc.) and table formats (iceberg, delta etc.) and how to enable them in different data catalogs.

• Bachelors degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience

#DISNEYTECH

The hiring range for this position in Orlando/The Woodlands is $159,800 - $14,200 per year, in Bristol/LA/DC/Chicago it is 167,700 - 224,900 per year, in NYC/Seattle it is 175,800 - 235,700 per year, and in San Francisco it is 183,700 - 246,400 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidates geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Job Posting Segment: Commerce, Data & Identity

Job Posting Primary Business: PDE - Data Platform Engineering

Primary Job Posting Category: Data Engineering

Employment Type: Full time

Primary City, State, Region, Postal Code: Seattle, WA, USA

Date Posted: 2025-02-25

Job DescriptionJob Description

ComResource is looking for a Principal Data Engineer.

We are looking for someone to help launch our new Machine Learning Data team. This individual will play a key role in shaping how we serve data to power model development and deployment across the bank, especially within our Data Science space.

We’re looking for someone with deep experience in modern data engineering — ideally with a strong command of SQL, Snowflake, and DBT. You should be comfortable navigating ambiguity, curious about new ways to solve old problems, and energized by the opportunity to work cross-functionally with data scientists, product owners, and business teams.

A successful candidate will be self-directed, thoughtful, and collaborative — someone who’s just as comfortable designing a scalable architecture as they are jumping in to troubleshoot a failing job. Experience with machine learning pipelines, feature engineering, or feature stores is a huge plus. Experience in highly regulated industries like banking, finance, or healthcare is .

This is a hands-on role with high visibility and high impact. We’re looking for someone who can inject fuel into this new team — bringing energy, expertise, and momentum to help us move fast and build with intention.

Essentials:

• DBT
• Leadership
• Snowflake
• SQL

Desired:

• AWS SageMaker
• Feature Store
• ML Flow
• Python

Req ID: AM201866630

Join to apply for the Principal Data Engineer role at Houston Chronicle

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Join to apply for the Principal Data Engineer role at Houston Chronicle

Job Description

Hearst Newspapers (HNP) is a leading media organization that powers the next generation of consumer news products. As part of Hearst Corporation, one of America's largest diversified media companies, HNP employs over 2,500 professionals across more than 75 brands in a national network.

Job Description

Hearst Newspapers (HNP) is a leading media organization that powers the next generation of consumer news products. As part of Hearst Corporation, one of America's largest diversified media companies, HNP employs over 2,500 professionals across more than 75 brands in a national network.

While HNP's reach is national, its focus is local. The company is committed to being the most trusted, respected, and accurate source of news and information in the communities it serves. HNP's comprehensive portfolio includes innovative digital products, data-driven journalism, and specialized businesses such as King Features Syndicate, Hearst DevHub, and StoryStudio.

The company is investing heavily in digital experiences, data engineering, and machine learning to power next-generation news products while maintaining its core commitment to high-quality journalism that informs and connects communities across the country.

The Role

HNP is looking for a sharp, curious, and highly skilled data engineer to come on as principal and help power the next generation of consumer news products. If youre passionate about data and the idea of building the future of digital journalism, this is your chance to make an outsized impact.

As a Principal Data Engineer, you will:

• Architect and build data pipelines for production ML and real-time applications (think graph-based recommendation engines, real-time customer scoring, and classification models for customer segmentation).
• Design and implement high-volume data ingestion, transformation, and orchestration solutions leveraging Python, SQL, DBT, Airflow on GCP.
• Drive the adoption of data processing using tools like Spark, Daft, Bedrock, Pub/Sub, Flink, or similar.
• Partner with data scientists to productionize ML pipelines, packaging, deploying, and monitoring models.
• Build and maintain data pipelines to power data products and reporting tools.
• Collaborate closely with two other data engineers, as well as the BI, product, and backend engineering teams, while reporting and serving as a thought partner to the VP of Data.
  
  

• End-to-End Pipeline Ownership
  
  

• Architect for Scale and Reliability Design data solutions with an emphasis on high availability, low latency, and scalability. We build systems that can handle large-scale data for consumer and advertising use cases.
• Collaboration and Communication Work with cross-functional stakeholders including BI, product management, and backend engineering. Proactively surface issues and drive solutions, rather than waiting for direction.
• Innovation Identify and implement new tools that improve efficiency, reliability, and performance across our data stack.
  
  

• 610 years of professional data engineering experience, with a track record of building production-grade pipelines and real-time data applications.
• Proficiency in Python and SQL, with proven experience with DBT, Airflow, and cloud data platforms (GCP preferred, AWS or Azure a plus).
• Deep understanding of data modeling, ELT/ETL frameworks, and streaming solutions (e.g., Spark, Daft, Flink, Pub/Sub, Kafka, etc.).
• Experience designing and optimizing complex data architectures, including ML pipelines and near-real-time analytics solutions, as well as super high volume reporting applications.
• Comfortable working in a fast-paced, outcome-oriented environment where youll tackle complex problems and get your hands dirty.
• Excellent communication skills and ability to mentor other engineers while also collaborating effectively with non-technical stakeholders.
• Familiarity with consumer products and/or advertising data models is a plus, but we prioritize skills over background.
  
  

• Impact & Ownership: Youll shape our companys data roadmap and have tangible influence on mission-critical products.
• Collaborative Culture: We value teamwork and constant learning, no one is above the details.
• Hybrid Work Environment: Enjoy the flexibility of working from home while still connecting in-person with a NYC-based team.
• Growth Opportunities: We invest in our talent and encourage continuous professional development.
  
  

• Physical Wellbeing: Medical, Dental, and Vision coverage to keep you and your family healthy.
• Invest for the Future: Competitive retirement plan with matching program in most markets.
• Generous Paid Time Off: Recharge with ample time off, including holidays and vacation.
• Paid Parental Leave: Support for growing families, with paid leave for new parents.
• Monthly Child & Dependent Care Reimbursement: Financial support for the care of your loved ones.
• Emotional Wellbeing: Be your best self with our mental wellness benefits.
• LGBTQ+ & Inclusive Health Services: Inclusive healthcare designed for every individuals unique needs.
• Fertility Coverage & Menopause Support: Helping you along every step of your family journey.
• Pet Wellness Reimbursement & Rover Credits: We care about your pets, too helping you keep them happy and healthy.
• And more, click here for additional benefits and details.
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries Newspaper Publishing

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Brooklyn, NY 120,000 - 170,000 1 month ago

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Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Join to apply for the Principal Data Engineer role at Wizards of the Coast

Join to apply for the Principal Data Engineer role at Wizards of the Coast

At Wizards of the Coast, we connect people around the world through play and imagination. From our genre-defining games like Magic: The Gathering and Dungeons & Dragons to our growing multiverse, we continue to innovate and build new ways to foster friendship and connection. Thats where you come in!

We are seeking a highly qualified and forward-thinking Principal Data Engineer to join our high-visibility Technology Analytics team that is helping Hasbro better reach consumers with compelling products and entertainment! This leadership role is crucial in shaping the architecture, design, and delivery of scalable, high-performance data solutions that power analytics, machine learning, and operational workloads across the organization.

This Principal Data Engineer will serve as a technical leader, mentor, and strategic partner guiding cross-functional teams through complex data initiatives and ensuring alignment with our long-term data strategy. You will partner closely with data scientists, analysts, platform engineers, and collaborators to create resilient and future-ready data pipelines and systems.

A day in the life of a Principal Data Engineer:

• Architect and Design: Lead the architectural design and development of scalable data pipelines and systems
• End-to-End Data Ownership: Oversee the entire data lifecyclefrom ingestion to consumptionensuring quality, reliability, and performance.
• Technology Leadership: Drive best practices in our stack, including Snowflake, DBT, Airflow, Confluent Kafka, and Databricks, across AWS and Azure cloud platforms.
• Mentorship and Guidance: Provide technical leadership and mentorship to data engineers; establish coding standards, conduct peer reviews, and promote knowledge sharing practices. Lead and participate in pull request reviews to uphold engineering standards and mentor contributors.
• Innovation & Strategy: Evaluate emerging technologies and make recommendations to enhance our data infrastructure and strategy.
  
  

• 5+ years of hands-on experience in data engineering or a related field, with at least 3 years in a lead or principal role.
• Expert knowledge in:
• Data Lake & Warehousing: Snowflake, Databricks (Delta Lake), or equivalent
• ETL/ELT & Transformation: DBT, Spark
• Orchestration: Airflow, Databricks Asset Bundles
• Streaming: Confluent Kafka, Kafka Streams, or equivalent
• Cloud Platforms: Strong experience with AWS and Azure
• Strong proficiency in SQL and Python
• Familiarity with CI/CD and infrastructure-as-code principles.
• Proven track record of leading multi-functional technical initiatives and mentoring engineers.
• Proficiency in integrating AI solutions into new and existing technologies to improve efficiency, streamline operations, and elevate the consumer experience is required.
• Self-starter with a passion and curiosity for solving unstructured data problems and ability to manipulate and optimize large data sets.
• Knowledge of metadata management, data lineage, and principles of data governance.
• Hands-on experience with real-time data processing and event-driven architectures
• Excellent written and verbal communication skills experience working with business and senior leaders.
• Bachelors or masters degree in computer science, information systems or related field.
  
  

• Starting Pay Range: $146,600
• Pay Range End: $20,000
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries Manufacturing

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Kirkland, WA 141,000.00- 202,000.00 2 weeks ago

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The Nuclear Company is the fastest growing startup in the nuclear and energy space creating a never before seen fleet-scale approach to building nuclear reactors. Through its design-once, build-many approach and coalition building across communities, regulators, and financial stakeholders, The Nuclear Company is committed to delivering safe and reliable electricity at the lowest cost, while catalyzing the nuclear industry toward rapid development in America and globally.

About the role:

The Nuclear Company is a cutting-edge tech startup rapidly transforming the nuclear energy sector through innovation, digitalization, and a commitment to safe, sustainable power. We are building the future of clean energy, and reliable, high-quality data is at the core of everything we do. We are seeking an exceptional and visionary Principal Data Engineer to lead the design, development, and optimization of our foundational data infrastructure.

As the Principal Data Engineer, you will be a foundational member of our engineering team, responsible for architecting, building, and maintaining scalable, robust, and secure data pipelines and data platforms. You will play a critical role in enabling data-driven decision-making across all facets of our business, from engineering and operations to corporate development and regulatory compliance. This role requires deep technical expertise, a strategic mindset, and a commitment to data integrity and security paramount in the nuclear energy industry.

This role reports into the VP, Software Engineering.

Responsibilities:

Data Architecture & Strategy:

• Lead the design and implementation of our end-to-end data architecture, including data warehousing, data lakes, real-time streaming, and batch processing solutions.
• Define data governance strategies, standards, and best practices to ensure data quality, security, and compliance with industry regulations.
• Evaluate and recommend new data technologies, tools, and platforms to support our evolving business needs and growth trajectory.
• Design, build, and optimize highly scalable and reliable ETL/ELT pipelines to ingest, transform, and load diverse datasets from various sources (e.g., sensor data, operational systems, financial platforms, third-party APIs).
• Implement robust data validation, monitoring, and alerting mechanisms to ensure data pipeline health and data quality.
• Troubleshoot and resolve complex data-related issues, optimizing data flows for performance and efficiency.

Data Platform Management:

• Oversee the management and maintenance of our cloud-based data platforms (e.g., data warehouses, data lakes, streaming services), ensuring optimal performance, security, and cost-effectiveness.
• Develop and implement data security protocols, access controls, and encryption strategies to protect sensitive nuclear-related data.
• Ensure data systems support auditability and traceability required for regulatory compliance.

Technical Leadership & Mentorship:

• Serve as a subject matter expert in data engineering, providing technical guidance and mentorship to other engineers.
• Champion data best practices, code quality, and scalable engineering principles across the organization.
• Lead complex data projects from conceptualization to deployment, ensuring successful execution and adoption.

Cross-Functional Collaboration:

• Work closely with data scientists, machine learning engineers, software engineers, business analysts, and leadership to understand data requirements and deliver actionable insights.
• Collaborate with cybersecurity and regulatory teams to ensure data infrastructure meets stringent nuclear industry standards.

Education: Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related quantitative field.

Experience:

• 8+ years of progressive experience in data engineering, with a significant focus on building scalable data pipelines and platforms.
• Proven experience in a lead or principal data engineering role, involving architectural decision-making.
• Expertise in cloud data platforms (AWS, Azure, or GCP).
• Proficiency in big data technologies (e.g., Spark, Kafka, Snowflake, Databricks, Redshift, BigQuery).
• Strong programming skills in Python, Scala, or Java, with a focus on data manipulation and pipeline development.
• Expertise in SQL and experience with various relational and NoSQL databases.
• Experience with data governance, data quality, and metadata management.
• Understanding of data security best practices.

Skills:

• ETL/ELT Development
• SQL & Database Management
• Python/Scala/Java
• Data Governance & Quality
• Excellent Problem-Solving & Analytical Skills
• Competitive compensation packages
• 401k with company match

Estimated Starting Salary Range:

The estimated starting salary range for this role is $198,000 - $228,000 annually less applicable withholdings and deductions, paid on asemi-monthlybasis.The actual salary offered may vary based on relevant factors as determined in the Companys discretion, which may includeexperience, qualifications, tenure, skill set, availability of qualified candidates, geographic location, certifications held, and other criteria deemed pertinent to the particular role.

EEO Statement:

The Nuclear Company is an equal opportunity employer committed to fostering an environment of inclusion in the workplace. We provide equal employment opportunities to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We prohibit discrimination in all aspects of employment, including hiring, promotion, demotion, transfer, compensation, and termination.

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