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Senior Data Engineering Jobs (NOW HIRING)

Ad Hoc LLC

Senior Data Engineer

Mclean, VA · On-site

$107K - $145K/yr

Senior Data Engineer Job Number: 912 This is a remote position. Ad Hoc is a technology company that ... You may serve as the primary data engineering lead for initiatives and utilize strong leadership ...

The Walt Disney Company

Sr Data Engineer

Seattle, WA · On-site

$148K - $199K/yr

Job Posting Title: Sr Data Engineer Req ID: 10145881 The Senior Data Engineer will design, build ... The ideal candidate applies technical expertise to challenging engineering problems and ...

SolGenie

Senior Data Engineer

$108K - $147K/yr

Senior Data Engineer : Microsoft Fabric Duration: 9+ Months Work location- Remote (USA) Work ... Engineering experience * Hands-on experience with Microsoft Fabric * Experience building and ...

The Walt Disney Company

Sr Data Engineer

Glendale, CA · On-site

$148K - $199K/yr

Job Posting Title: Sr Data Engineer Req ID: 10145881 The Senior Data Engineer will design, build ... The ideal candidate applies technical expertise to challenging engineering problems and ...

The Walt Disney Company

Sr Data Engineer

Orlando, FL · On-site

$148K - $199K/yr

Job Posting Title: Sr Data Engineer Req ID: 10145881 The Senior Data Engineer will design, build ... The ideal candidate applies technical expertise to challenging engineering problems and ...

Ad Hoc

Senior Data Engineer

Mclean, VA · Remote

$107K - $145K/yr

Senior Data Engineer Job Number: 912 This is a remote position. Ad Hoc is a technology company that ... You may serve as the primary data engineering lead for initiatives and utilize strong leadership ...

Rays Techsolutions Inc.

Senior Data Engineer

San Jose, CA · On-site

$124K - $168K/yr

Senior Data Engineer Location: San Jose, California, United States Experience: 8 10 Years Job ... Required Skills * 8 10 years of Data Engineering experience. * Strong hands-on experience with ...

UL Standards and Engagement

Senior Data Engineer

Evanston, IL · On-site

$101K - $138K/yr

Leveraging expertise in modern data architecture, cloud technologies, and advanced data engineering practices, the Senior Data Engineer will transform complex standards content and enterprise data ...

IQUASAR LLC

Senior Data Engineer

Washington, DC · On-site

$119K - $162K/yr

Makpar has an exciting opportunity for a Senior Data Engineer to join our growing team.his role ... Bachelor's or Master's degree in Computer Science, Data Engineering, or related field. * 7+ years ...

iQuasar LLC

Senior Data Engineer

Washington, DC · On-site

$119K - $162K/yr

Makpar has an exciting opportunity for a Senior Data Engineer to join our growing team.his role ... Bachelor's or Master's degree in Computer Science, Data Engineering, or related field. * 7+ years ...

Hiscox

Senior Data Engineer

Atlanta, GA

$160K - $170K/yr

Serve as a core and professional member of our Data Engineering practice to build and ... As a senior data engineer in a squad of data engineers, take input on business requirements, refine ...

K&L Gates

Senior Data Engineer

Austin, TX · On-site

$105K - $142K/yr

Senior Manager, Data Engineering; Senior Manager, Automation and Development; Senior Manager, Enterprise Applications; Senior Applications Architect; Senior Data Architect; Team Lead, Workflow and ...

YipitData

Senior Data Engineering Manager

We are looking for a highly skilled Senior Data Engineering Manager to lead one of our data engineering teams. This is a hands-on player-coach role for someone who can develop engineers, guide ...

YipitData

OR · On-site

We are looking for a highly skilled Senior Data Engineering Manager to lead one of our data engineering teams. This is a hands-on player-coach role for someone who can develop engineers, guide ...

Stellantis

Senior Data Engineer

Auburn Hills, MI · On-site

$100K - $136K/yr

About the Role Join the Supply Chain AI Hub as a Senior Data Engineer helping turn AI ambition into ... This role helps engage business, engineering and ICT stakeholders around practical data needs and ...

Catalight

Senior Data Architect

$68.75 - $92/hr

Working in close partnership with the Senior Data Engineer, Business Analysts, and cross-functional stakeholders, the Senior Data Architect translates complex business requirements into scalable ...

Conch Technologies Inc

Senior Data Engineer

Minneapolis, MN · On-site

$110K - $150K/yr

Senior Data Engineer Location: Minneapolis, MN or Madison, WI Duration: 6+ Months Note :Only W2 no ... The ideal candidate will have expertise in cloud-based data engineering, data lakes, ETL/ELT ...

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Senior Data Engineering information

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How much do senior data engineering jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for senior data engineering in the United States is $56.81, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $67.31 per hour, depending on experience, location, and employer.

What is a senior data engineer?

A Senior Data Engineer is an experienced professional who designs, builds, and maintains scalable data systems and infrastructure within an organization. They are responsible for developing robust data pipelines, ensuring data quality, and optimizing data workflows to support analytics and business intelligence needs. Senior Data Engineers often mentor junior team members, collaborate with data scientists and analysts, and help establish best practices for data management. Their expertise enables organizations to efficiently store, process, and analyze large volumes of data for strategic decision-making.

What is the difference between Senior Data Engineering vs Data Engineer?

AspectSenior Data EngineerData Engineer
Required CredentialsBachelor's or Master's in CS, experience in data pipelines, cloud platformsBachelor's in CS or related field, foundational data skills
Work EnvironmentDesigning complex data systems, mentoring juniors, optimizing pipelinesBuilding and maintaining data pipelines, data ingestion, basic ETL tasks
Employer & Industry UsageTech companies, finance, healthcare, large enterprisesStartups, mid-sized companies, tech firms

Senior Data Engineers typically have more experience, handle complex data architecture, and mentor teams, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but Senior Data Engineers often take on leadership and strategic responsibilities.

What are the key skills and qualifications needed to thrive as a senior data engineer?

To thrive as a Senior Data Engineer, you need deep expertise in data modeling, ETL processes, programming (often Python, Java, or Scala), and a strong background in computer science or a related field. Proficiency with big data tools like Hadoop, Spark, SQL/NoSQL databases, and cloud platforms such as AWS, Azure, or GCP is typically required, along with relevant certifications. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior engineers. These skills ensure reliable, scalable data infrastructure that supports business intelligence and decision-making across the organization.

How much do senior data engineers get paid?

Senior data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and industry. They often have expertise in tools like SQL, Python, and cloud platforms, which can influence compensation levels.

How does a senior data engineer typically collaborate with data scientists and analysts on projects?

As a Senior Data Engineer, you will frequently work alongside data scientists and analysts to design, build, and optimize data pipelines and infrastructure that support complex analytics and machine learning initiatives. Collaboration often involves translating business or analytical requirements into scalable data solutions, ensuring data quality, and enabling efficient access to large datasets. Regular communication and agile teamwork are essential, as you'll often participate in cross-functional meetings to align on project goals, resolve data issues, and support the deployment of analytical models into production environments.
More about Senior Data Engineering jobs
What cities are hiring for Senior Data Engineering jobs? Cities with the most Senior Data Engineering job openings:
What are the most commonly searched types of Data Engineering jobs? The most popular types of Data Engineering jobs are:
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What job categories do people searching Senior Data Engineering jobs look for? The top searched job categories for Senior Data Engineering jobs are:
Senior Data Engineering jobs near you
Infographic showing various Senior Data Engineering job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $118,171 per year, or $56.8 per hour.

Senior Data Engineer

Ad Hoc LLC

Mclean, VA • On-site

$107K - $145K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago

Job description

Senior Data Engineer
Job Number: 912
This is a remote position.
Ad Hoc is a technology company that empowers organizations to deliver scalable, impactful digital services. Using modern, agile methods, our team creates products that meet people's needs and transform their experience of government.
Work on things that matter
Our collaborations have shaped some of the defining moments in public-sector service delivery. We've helped build products that connect Veterans to tailored services, help millions access affordable health care, and support important programs like Head Start. As we work with agencies to deliver critical services, we're also changing how the government approaches technology.
Built for a remote life
Our culture, communications, and tools are built for remote work, enabling us to bring together top talent nationwide. At Ad Hoc, remote life empowers our teams to design work environments that fit their lives and that foster flexibility and collaboration to achieve positive outcomes for our customers.
Committed to high expectations and a welcoming culture
Ad Hoc values acceptance, accountability, and humility. We aren't heroes. We learn from our mistakes and improve the process for the next time. We build small, inclusive teams to collaborate closely with our partners to solve the right problems and deliver software that works.
The Federal Civilian business unit supports many customers spanning the federal, commercial, and nonprofit space. Our customers include NASA, the General Services Administration, Office of Personnel Management, the Library of Congress, Health & Human Services, and the FDIC. We partner with these agencies to build new capabilities, deliver products, establish data as a strategic asset for informed decision-making, modernize legacy systems, and build the digital service infrastructure necessary to scale their mission impact.
Primary Responsibilities
Senior Data Engineer serves as an experienced individual contributor within a team, with the expectation that you will continue to develop your leadership, technical guidance, and mentoring skills. With minimal oversight from leadership, you will design, build, and optimize scalable data solutions that support business and customer needs while ensuring projects meet scope, schedule, and delivery commitments.
As a Senior Data Engineer, you will contribute to the long-term data strategy of the program, influence architectural decisions, and collaborate closely with software engineers, product managers, analysts, architects, and stakeholders to deliver reliable, secure, and scalable data platforms. You may serve as the primary data engineering lead for initiatives and utilize strong leadership and communication skills to drive improvements in data engineering processes, platform reliability, and engineering best practices.
Primary expectations of a Senior Data Engineer include:
  • Evaluate and recommend multiple technical approaches to solve complex data engineering and architecture challenges.
  • Design, develop, maintain, and optimize scalable data pipelines supporting both batch and real-time processing.
  • Design and implement robust ETL/ELT workflows that transform raw data into reliable, consumable datasets.
  • Build and maintain scalable data models, data warehouses, and cloud-native data architectures.
  • Develop solutions for structured, semi-structured, and unstructured data sources.
  • Generate data architecture recommendations and successfully implement approved solutions.
  • Ensure data quality, integrity, governance, lineage, security, and observability across data platforms.
  • Optimize database performance, query execution, storage strategies, and overall system scalability.
  • Diagnose and resolve production issues while implementing long-term improvements to increase system reliability and performance.
  • Collaborate with cross-functional teams to translate business requirements into scalable technical solutions.
  • Present technical designs, architecture diagrams, and implementation strategies to clients, stakeholders, partners, and engineering teams.
  • Champion data engineering best practices, coding standards, automation, and operational excellence.
  • Mentor junior engineers through technical guidance, code reviews, design discussions, and knowledge sharing.
  • Lead small projects or serve as the technical lead for data engineering initiatives when needed.
  • Effectively communicate technical challenges, risks, and progress with engineering teams, leadership, clients, and stakeholders.
  • Participate in technical interviews and contribute to hiring decisions.

Required Qualifications & Technical Skills
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related technical discipline with 7+ years of professional experience. Relevant years of experience may be substituted for formal education.
  • 7+ years of experience designing, building, and maintaining enterprise-scale data platforms and data pipelines.
  • Strong proficiency in SQL with experience developing, optimizing, and troubleshooting complex queries and large datasets.
  • Professional experience developing software and data solutions using Python, Java, Scala, or a comparable programming language.
  • Experience designing, developing, and maintaining ETL/ELT pipelines for batch and real-time data processing.
  • Experience working with cloud-based data platforms and services within AWS, Microsoft Azure, or Google Cloud Platform.
  • Experience with modern cloud data platforms such as Snowflake, Databricks, Amazon Redshift, Google BigQuery, or Azure Synapse Analytics.
  • Experience with relational database technologies such as PostgreSQL, SQL Server, Oracle, or MySQL, along with familiarity with NoSQL database solutions.
  • Experience with distributed data processing frameworks such as Apache Spark or equivalent big data technologies.
  • Strong understanding of data modeling, dimensional modeling, schema design, data warehousing, and database optimization.
  • Experience implementing data quality, validation, governance, metadata management, and data lineage best practices.
  • Experience working with structured, semi-structured, and unstructured data from multiple sources.
  • Experience with version control systems such as Git and CI/CD practices supporting data engineering workflows.
  • Understanding of data security, privacy, encryption, and access control principles.
  • Experience monitoring, troubleshooting, and optimizing production data systems for scalability, availability, and performance.
  • Experience working within Agile software development environments and collaborating across cross-functional engineering teams.
  • Strong analytical, troubleshooting, and problem-solving skills with the ability to make sound technical decisions.
  • Excellent written and verbal communication skills with the ability to explain technical concepts to both technical and non-technical audiences.
  • Demonstrated ability to mentor junior engineers through code reviews, technical guidance, and knowledge sharing.
  • Ability to obtain and maintain a U.S. Public Trust clearance.

Preferred Qualifications
  • Experience supporting U.S. Federal Government programs or other highly regulated environments.
  • Experience with orchestration platforms such as Apache Airflow, Prefect, Azure Data Factory, or AWS Step Functions.
  • Experience with streaming technologies such as Apache Kafka, Amazon Kinesis, or Azure Event Hubs.
  • Experience using dbt or other modern data transformation frameworks.
  • Experience with Infrastructure as Code tools such as Terraform or AWS CloudFormation.
  • Experience working with Docker and Kubernetes in cloud-native environments.
  • Experience building analytics and business intelligence solutions using Tableau, Power BI, Looker, or similar visualization tools.
  • Existing Public Trust or higher security clearance.
  • Experience serving as a technical lead or mentoring engineers on enterprise-scale data initiatives.

To learn more about working at Ad Hoc, please visit:https://adhocteam.us/join
Benefits:
  • Company-subsidized health, dental, and vision insurance
  • Flexible PTO
  • 401K with employer match
  • Paid parental leave after one year of service
  • Employee Assistance Program

Ad Hoc LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, sexual orientation, gender identity or expression, religion, age, pregnancy, disability, work-related injury, covered veteran status, political ideology, marital status, or any other factor that the law protects from employment discrimination.
We value the unique skills gained through military service and encourage veterans and transitioning service members to apply.
In support of various state and city equal pay transparency laws, Ad Hoc job descriptions feature the starting range we reasonably expect to pay to candidates who would join our team with little to no need for training on the responsibilities we've outlined above. Actual compensation is influenced by a wide range of factors including but not limited to skill set, level of experience, and responsibility. The range of starting pay for this role is $130,000-$140,000. Our recruiters will be happy to answer any questions you may have, and we look forward to learning more about your salary requirements.
job reference:
https://adhoc.team/

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