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Data Engineer Manager Jobs in Washington, DC (NOW HIRING)

Data Engineer

Mclean, VA ยท On-site

$115K - $139K/yr

We are seeking to hire a Data Engineer to our team! Client: CTEC develops and delivers innovative ... Support data governance initiatives including metadata management, data catalog integration ...

Data Engineer

Mclean, VA ยท On-site

$117K - $141K/yr

Knowledge of data governance, data quality, and metadata management practices. * Familiarity with ... Azure Data Engineer Associate (DP-203) or related cloud certifications preferred.

Data Engineer

Springfield, VA ยท On-site

$110K - $165K/yr

Everforth ECS seeks a Data Engineer to support a project team responsible for managing an Artificial Intelligence initiative. The work is performed in a multidisciplinary and collaborative team ...

Data Engineer

Washington, DC ยท On-site

$129K - $155K/yr

The Data Engineer supports the J5 data infrastructure underpinning all of these functions, building ... Publish and manage curated datasets as discoverable assets within the J5 Data Catalog, ensuring ...

Data Engineer

Washington, DC ยท Remote

$117K - $140K/yr

Data Engineer ROLE SUMMARY: Conducts data migration and data architecture for the BATS ... PRIMARY RESPONSIBILITIES: โ€ข Design and build data pipelines using tools like SSIS. โ€ข Manage ETL ...

Data Engineer

Arlington, VA ยท On-site

$62K - $141K/yr

Experience working with integrated groups comprised of customer success managers, infrastructure engineers, data scientists, and software engineers * Master's degree in a CS, Computer Engineering ...

Data Engineer

Fort George G Meade, MD ยท On-site

$77K - $176K/yr

You'll use your experience in analytical exploration and data examination while you manage the ... engineering and analytics, delivering actionable insights and performance metrics * 2+ years of ...

Data Engineer

Chantilly, VA ยท On-site

$118K - $142K/yr

The Data Engineer will leverage their development skills and experience to support the successful ... Significant experience with SQL and database management. * Experience with the full data lifecycle ...

Data Engineer

Chantilly, VA ยท On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... You'll use your experience in analytical exploration and data examination while you manage the ...

Data Engineer

Chantilly, VA

$118K - $142K/yr

Data Engineer Location: Chantilly, VA Work Schedule: Full-Time, Onsite Clearance Required: Active ... Data Management & Optimization * Collect, clean, validate, and manage large volumes of structured ...

Data Engineer

Fort George G Meade, MD ยท On-site

$77K - $176K/yr

You'll use your experience in analytical exploration and data examination while you manage the ... engineering and analytics, delivering actionable insights and performance metrics * 2+ years of ...

Data Engineer

Fort Belvoir, VA ยท On-site

$185K - $220K/yr

This role will design, implement, and manage databases and data pipelines supporting TSSC ... Top Secret with SCI eligibility and CI polygraph 8+ years in data engineering/database ...

Data Engineer

Chantilly, VA ยท On-site

$77K - $176K/yr

R0241347 Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and ... You'll use your experience in analytical exploration and data examination while you manage the ...

Data Engineer

Alexandria, VA ยท On-site

$122K - $147K/yr

We deliver program management, financial management, performance improvement, and technology ... Position Overview: We are seeking a skilled Data Engineer to join our team, supporting the ...

Data Engineer

Herndon, VA ยท Hybrid

$175K - $195K/yr

Data Engineer City, VA TS/SCI with Poly At Bcore, our strength comes from how we deliver impact to ... Ability to manage and troubleshoot data feeds * Splunk familiarization * Python Desired ...

Data Engineer

Chantilly, VA ยท On-site

$118K - $142K/yr

The Data Engineer will leverage their development skills and experience to support the successful ... Significant experience with SQL and database management. * Experience with the full data lifecycle ...

Data Engineer

Arlington, VA ยท On-site

$62K - $141K/yr

Experience working with integrated groups comprised of customer success managers, infrastructure engineers, data scientists, and software engineers * Master's degree in a CS, Computer Engineering ...

Showing results 21-40

Data Engineer Manager information

See Washington, DC salary details

$50.2K

$146.4K

$200.3K

How much do data engineer manager jobs pay per year?

As of Jul 30, 2026, the average yearly pay for data engineer manager in Washington, DC is $146,365.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,200.00 and $155,100.00 per year, depending on experience, location, and employer.

What are some typical challenges a Data Engineer Manager faces in their role?

Data Engineer Managers often face the challenge of balancing technical project delivery with team development and stakeholder management. They must ensure data systems remain scalable and reliable while adapting to evolving business requirements and new technologies. Additionally, managing cross-functional communication between data engineers, analysts, and business leaders can require strong organizational and interpersonal skills. Success in this role requires staying current with industry trends and fostering a collaborative, innovative team culture.

What engineers make 200,000 a year?

Senior data engineer managers and experienced data engineering leaders often earn $200,000 or more annually, especially in high-demand industries or large organizations. These roles typically require advanced skills in data architecture, cloud platforms, and leadership, along with several years of experience.

What engineers make 300,000 a year?

Senior data engineer managers and experienced data engineering leaders often earn $300,000 or more annually, especially in high-cost-of-living areas or within large tech companies. These roles typically require advanced skills in cloud platforms, data architecture, and leadership, along with extensive industry experience and relevant certifications.

What does a data engineer manager do?

A data engineer manager oversees teams responsible for designing, building, and maintaining data pipelines and infrastructure. They coordinate data collection, storage, and processing efforts, often using tools like SQL, Hadoop, or Spark, and ensure data quality and security while aligning projects with organizational goals.

What are the key skills and qualifications needed to thrive in the Data Engineer Manager position, and why are they important?

To thrive as a Data Engineer Manager, you need robust experience in data architecture, pipeline design, team leadership, and a relevant degree in computer science or a related field. Proficiency with cloud platforms (like AWS or Azure), big data tools (such as Hadoop, Spark), and certifications in data engineering or project management are highly valued. Strong soft skills like effective communication, problem-solving, and mentorship set exceptional managers apart. These competencies enable strategic oversight of technical teams and ensure reliable, scalable data solutions that meet business objectives.

What does a Data Engineer Manager do?

A Data Engineer Manager leads a team of data engineers to design, build, and maintain data pipelines and infrastructure. They collaborate with data scientists, analysts, and business stakeholders to ensure efficient data processing and accessibility. Their responsibilities include project management, team leadership, system architecture decisions, and optimizing data workflows. Additionally, they enforce best practices for data governance, security, and scalability.

What engineers make $500,000?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools, can earn $500,000 or more annually. High compensation often involves leadership roles, performance bonuses, and stock options in large organizations or tech companies.
What are the most commonly searched types of Data Engineer jobs in Washington, DC? The most popular types of Data Engineer jobs in Washington, DC are:
What are popular job titles related to Data Engineer Manager jobs in Washington, DC? For Data Engineer Manager jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Data Engineer Manager jobs in Washington, DC look for? The top searched job categories for Data Engineer Manager jobs in Washington, DC are:
Infographic showing various Data Engineer Manager job openings in Washington, DC as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $146,365 per year, or $70.4 per hour.

Data Engineer

CyberMedia Technologies

Mclean, VA โ€ข On-site

$115K - $139K/yr

Full-time

Medical, Retirement, PTO

Re-posted yesterday


Job description

CTEC is a leading technology firm that provides modernization, digital transformation, and application development services to the U.S. Federal Government. Headquartered in McLean, VA, CTEC has over 300 team members working on mission-critical systems and projects for agencies such as the Department of Homeland Security, Internal Revenue Service, and the Office of Personnel Management. The work we do effects millions of U.S. citizens daily as they interact with the systems we build. Our best-in-class commercial solutions, modified for our customers' bespoke mission requirements, are enabling this future every day.

The Company has experienced rapid growth over the past 3 years and recently received a strategic investment from Main Street Capital Corporation (NYSE: MAIN). In addition to our recent growth in Federal Civilian agencies, we are seeking to expand our capabilities in cloud development and footprint in national-security focused agencies within the Department of Defense and U.S. Intelligence Community.

We are seeking to hire a Data Engineer to our team!

Client:
CTEC develops and delivers innovative customer-centric technologies and solutions that support the Office of Personnel Management's (OPM) Health and Insurance business unit and Office of the Chief Information Officer (OCIO).

Duties and Responsibilities:

  • Data Pipeline & ETL Development: Design, develop, and maintain scalable ETL pipelines and data workflows to ingest, transform, and integrate data from legacy systems and external sources into modern cloud-based data platforms.
  • Cloud Data Platform & Databricks Implementation: Build, optimize, and maintain data processing solutions using Azure Databricks and lakehouse architectures to support analytical, operational, and reporting use cases.
  • Data Migration Support: Support phased data migration from legacy databases and ETL tools to Azure Databricks environments, including transformation documentation and data mapping.
  • Lakehouse & Data Layer Design: Implement layered lakehouse data architectures (e.g., bronze, silver, gold layers) in Databricks to support data quality, performance, and downstream reporting needs.
  • Python & PySpark Development: Develop data processing notebooks, workflows, and distributed data transformations using Python and PySpark within Databricks environments.
  • Data Quality & Validation: Develop data validation, reconciliation, and testing processes to ensure data accuracy, completeness, and consistency across data domains.
  • Data Integration & Interoperability: Integrate Databricks data platforms with analytics and reporting tools to enable business intelligence and operational dashboards.
  • Data Governance & Security Implementation: Support data governance initiatives including metadata management, data catalog integration, encryption, access controls, and compliance with federal data protection requirements.
  • DevOps & CI/CD Support: Maintain source control and CI/CD pipelines for Databricks and data engineering workflows, supporting automated promotion across environments.
  • Technical Collaboration: Work closely with data architects, solution architects, business analysts, and reporting teams to implement approved data solutions.
  • Operational Support & Troubleshooting: Provide ongoing support for Databricks workflows, resolve pipeline failures, and troubleshoot complex data processing issues.
  • Mentorship & Knowledge Sharing: Provide guidance to junior data engineers and contribute to documentation and team enablement.
  • Works under minimal supervision with minor guidance from senior personnel.

Skills & Work Experience:

  • Professional Experience: 7+ years of experience in data engineering, ETL development, or large-scale data integration environments.
  • Strong experience designing and developing ETL pipelines and data transformations in Azure Databricks environments.
  • Strong proficiency in SQL and Python, with hands-on experience using PySpark for distributed data processing.
  • Experience working with cloud-based data platforms, data lakes, and lakehouse environments, preferably on Microsoft Azure.
  • Experience implementing layered lakehouse data architectures (bronze, silver, gold) for enterprise analytics.
  • Familiarity with Spark-based big data processing frameworks.
  • Experience supporting data migration from legacy databases and ETL tools to Databricks-based platforms.
  • Experience integrating Databricks platforms with business intelligence and reporting tools such as Power BI.
  • Familiarity with data governance, metadata management, and data security best practices.
  • Experience with source control and CI/CD pipelines for data engineering and Databricks workflows.
  • Working knowledge of SDLC and Agile delivery methodologies.
  • Excellent organizational, communication, and collaboration skills.

Preferred:

  • Hands-on experience with Azure Databricks workflows, Delta tables, and Databricks job orchestration.
  • Experience with Azure Data Lake, Azure Data Factory, or similar Azure data services.
  • Experience supporting federal IT modernization or large-scale enterprise data transformation initiatives.
  • Familiarity with healthcare, insurance, or benefits administration data environments.
  • Experience implementing data governance or data catalog platforms.

Education:

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical discipline. Equivalent education or professional experience will be considered in lieu of a degree.

Clearance:
Must be a U.S. citizen and be able to obtain a Public Trust clearance.

If you are looking for a fun and challenging environment with talented, motivated people to work with, CTEC is the right place for you. In addition to employee salary, we offer an array of employee benefits including:

  • Paid vacation & Sick leave

  • Health insurance coverage

  • Career training

  • Performance bonus programs

  • 401K contribution & Employer Match

  • 11 Federal Holidays