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Senior Data Engineer Jobs in Washington (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 empowers organizations to deliver scalable, impactful digital services. Using modern, agile methods ...

iQuasar LLC

Senior Data Engineer

Washington, DC · On-site

$119K - $162K/yr

Senior Data Engineer • Position Type: Hybrid • Location : Washington, D.C Role Specific Duties/ Role Responsibilities: * Plan, design, build, test, deploy, and maintain highly scalable web-based ...

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 empowers organizations to deliver scalable, impactful digital services. Using modern, agile methods ...

New

IQUASAR LLC

Senior Data Engineer

Washington, DC · On-site

$119K - $162K/yr

Senior Data Engineer ● Position Type: Hybrid ● Location : Washington, D.C Role Specific Duties/ Role Responsibilities: * Plan, design, build, test, deploy, and maintain highly scalable web-based ...

Elder Research

Senior Data Engineer

Arlington, VA · Hybrid

$122K - $165K/yr

Senior Data Engineer General Information Requisition # 683 Locations USA-VA-Arlington Posting Date 03/20/2026 Security Clearance Required - ACTIVE IRS MBI Remote Type Hybrid Time Type Full time ...

Knowledge Management, Inc.

Sr. Data Engineer

Washington, DC · Remote

$108K - $147K/yr

Job Requisition: Sr. Data Engineer Location : Washington, DC (remote with availability required between 6:00 a.m. and 6:00 p.m. EST, Monday through Friday) Clearance: clearable for a Public Trust ...

New

Knowledge Management, Inc.

Sr. Data Engineer

Washington, DC · On-site

$120K - $163K/yr

Job Requisition: Sr. Data Engineer Location : Washington, DC (remote with availability required between 6:00 a.m. and 6:00 p.m. EST, Monday through Friday) Clearance: clearable for a Public Trust ...

Knowledge Management, Inc.

Sr. Data Engineer

Washington, DC · Remote

$120K - $163K/yr

Job Requisition: Sr. Data Engineer Location : Washington, DC (remote with availability required between 6:00 a.m. and 6:00 p.m. EST, Monday through Friday) Clearance: clearable for a Public Trust ...

New

Elder Research

Senior Data Engineer

Arlington, VA · Hybrid

$121K - $165K/yr

Senior Data Engineer General Information Requisition # 683 Locations USA-VA-Arlington Posting Date 03/20/2026 Security Clearance Required - ACTIVE IRS MBI Remote Type Hybrid Time Type Full time ...

Elder Research

Senior Data Engineer

Arlington, VA · On-site

$122K - $165K/yr

Senior Data Engineer General Information Requisition # 683 Locations USA-VA-Arlington Posting Date 03/20/2026 Security Clearance Required - ACTIVE IRS MBI Remote Type Hybrid Time Type Full time ...

Accenture Federal Services

Sr. Data Engineer

Washington, DC · On-site

$120K - $163K/yr

We're hiring for a Sr. Data Engineer to join our Civilian portfolio at Accenture Federal Services, where our teams are building modern digital products that directly improve everyday experiences for ...

NAVA Software Solutions

Sr. Data Engineer

Washington, DC · On-site

$129K - $156K/yr

Details: Sr. Data Engineer Location: Washington DC (1-2 days/month onsite) / 100% remote is also ok Duration: 6-12 months Position Summary The incumbent in this position will be part of the Data ...

Elevance Health

Senior Data Engineer

Ashburn, VA · Hybrid

$108K - $147K/yr

Senior Data Engineer Senior Data Engineer Hybrid 1: This role requires associates to be in-office1 - 2days per week, fostering collaboration and connectivity, while providing flexibility to support ...

Accord Technologies Inc.

Sr. Data engineer

Reston, VA · On-site

$119K - $143K/yr

Sr. Data engineer Location: Reston, VA Duration: long term Mandatory need: Candidate have to be ex-Fannie Mae, and they have to be able to work out of Reston, VA on a hybrid basis. Must Haves:

TriOptus LLC

Sr. Data Engineer

Mclean, VA · On-site

$116K - $139K/yr

Job Title - Sr Data Engineer Location - (100% Remote) Duration: 12 Months + Extension Job Type: Contract Top 4 Spark Scala - Must 5 years with Spark Scala Python - Must AWS - Must (S3, Lambdas, EMR ...

Analytica

Senior Data Engineer

Washington, DC · On-site

$120K - $163K/yr

Analytica is seeking a Senior Data Engineer to support large-scale Health care data modernization and analytics initiatives. This role is responsible for designing, building, optimizing, and ...

Analytica

Senior Data Engineer

Washington, DC · On-site

$119K - $162K/yr

Analytica is seeking a Senior Data Engineer to support large-scale Health care data modernization and analytics initiatives. This role is responsible for designing, building, optimizing, and ...

Amyx, Inc.

Sr. Data (cProbe) Engineer

Fort Belvoir, VA · On-site

$119K - $162K/yr

The Sr Data Engineer will be required ensure design best practices are applied to the cPROBE data repositories and provide recommendations for improving performance, security, reliability and ...

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All JobsData Engineer JobsSenior Data Engineer JobsSenior Data Engineer Jobs in Washington

Senior Data Engineer information

See Washington salary details

$91.7K

$143.1K

$198.2K

How much do senior data engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for senior data engineer in Washington is $143,079.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,100.00 and $163,100.00 per year, depending on experience, location, and employer.

What are Senior Data Engineers?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

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

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What are some common challenges Senior Data Engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

What are the key skills and qualifications needed to thrive as a Senior Data Engineer, and why are they important?

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.
What are the most commonly searched types of Data Engineer jobs in Washington? The most popular types of Data Engineer jobs in Washington are:
What are popular job titles related to Senior Data Engineer jobs in Washington? For Senior Data Engineer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Senior Data Engineer jobs in Washington look for? The top searched job categories for Senior Data Engineer jobs in Washington are:
What cities in Washington are hiring for Senior Data Engineer jobs? Cities in Washington with the most Senior Data Engineer job openings:
What are popular job titles related to Senior Data Engineer jobs in WA? For Senior Data Engineer jobs in WA, the most frequently searched job titles are:
Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in Washington as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $143,079 per year, or $68.8 per hour.
Senior Data Engineer

Senior Data Engineer

Ad Hoc LLC

Mclean, VA • On-site

$107K - $145K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 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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