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Data Engineer Manager Jobs in Springfield, VA (NOW HIRING)

Data Engineer

Quantico, VA

$123K - $148K/yr

Develop, optimize, and manage ETL/ELT processes and data ingestion platforms, including cloud-based ... Promote best practices in data engineering, governance, and data lifecycle management * Support ...

Data Engineer

Chantilly, VA · On-site

$140K - $195K/yr

Seeking a Cloud Data Engineer to design, develop, and optimize scalable cloud-based data platforms ... Experience with Source code management and integration such as GitHub * Experience with designing ...

Data Engineer

Springfield, VA · 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

Mclean, VA · 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

Washington, DC · 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

Suitland, MD

$123K - $148K/yr

Data Engineer We are looking for a skilled and passionate Data Engineer to join our team. You will ... Leverage frameworks like Apache Spark, Databricks, or Apache Kafka to process and manage large ...

Data Engineer

Fairfax, VA · On-site +1

$130K - $155K/yr

The Data Engineer will collaborate with developers, data scientists, and program stakeholders to ... Support data profiling, lineage tracking, and metadata management to improve transparency and trust ...

The Data Engineer will collaborate with developers, data scientists, and program stakeholders to ... Support data profiling, lineage tracking, and metadata management to improve transparency and trust ...

Data Engineer

Quantico, VA · On-site

$123K - $148K/yr

... optimize, and manage ETL/ELT processes and data ingestion platforms, including cloud-based ... engineering practices • Provide ad hoc data analysis and support self-service data access for ...

Data Engineer

Chantilly, VA · 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 · On-site

$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 ...

Sr Data Engineer/Data Engineer

Suitland, MD · On-site

$123K - $148K/yr

Responsibilities : • Build and manage data pipelines using Python, Pyspark, SQL for batch and ... Required : • Experience: 8+Years for Sr Data Engineer • Experience: 5+Years for Data Engineer ...

Data Engineer

Chantilly, VA · On-site

$140K - $195K/yr

Experience with Source code management and integration such as GitHub * Experience with designing ... Experience with data engineering projects supporting data science, AI/ML implementations, and ...

Data Engineer

Washington, DC · Remote

$117K - $140K/yr

Data Engineer ROLE SUMMARY: Conducts data migration and data architecture for the BATS ... Design and build data pipelines using tools like SSIS. * Manage ETL (Extract, Transform, Load ...

Data Engineer

Fairfax, VA · On-site

$125 - $150/hr

The Data Engineer will collaborate with developers, data scientists, and program stakeholders to ... Support data profiling, lineage tracking, and metadata management to improve transparency and trust ...

Data Engineer

Fairfax, VA · On-site

$117K - $140K/yr

Data Engineer Location: Onsite in Fairfax, VA 3 days and in Washington, DC 2 days per week ... All other duties as assigned by management. Skills and Qualifications: * Bachelor's degree in ...

Data Engineer (Must Be A US Citizen)

Washington, DC · On-site

$129K - $155K/yr

... engineering solutions to the Federal Government. BTI supports mission-critical programs across ... management, enterprise IT, and technical oversight services. Roles and Responsibilities As a Data ...

New

Data Engineer

Chantilly, VA · 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 · On-site

$62K - $141K/yr

Experience working with integrated groups comprised of customer success managers, infrastructure engineers, data scientists, and software engineers * Experience with DoD information systems * Master ...

Experience working with integrated groups comprised of customer success managers, infrastructure engineers, data scientists, and software engineers * Experience with DoD information systems * Master ...

Showing results 41-60

Data Engineer Manager information

See Springfield, VA salary details

$46.5K

$135.5K

$185.4K

How much do data engineer manager jobs pay per year?

As of Sep 8, 2026, the average yearly pay for data engineer manager in Springfield, VA is $135,492.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,600.00 and $143,600.00 per year, depending on experience, location, and employer.

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

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 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.

How much does a data engineer manager make?

A data engineer manager typically earns between $110,000 and $160,000 annually, depending on experience, location, and company size. They often oversee data teams, manage data pipelines, and require strong skills in SQL, cloud platforms, and leadership. Salaries can vary based on industry demand and certifications held.

What are the most commonly searched types of Data Engineer jobs in Springfield, VA?

The most popular types of Data Engineer jobs in Springfield, VA are:

What are popular job titles related to Data Engineer Manager jobs in Springfield, VA?

For Data Engineer Manager jobs in Springfield, VA, the most frequently searched job titles are:

What job categories do people searching Data Engineer Manager jobs in Springfield, VA look for?

The top searched job categories for Data Engineer Manager jobs in Springfield, VA are:

What cities near Springfield, VA are hiring for Data Engineer Manager jobs?

Cities near Springfield, VA with the most Data Engineer Manager job openings:

Infographic showing various Data Engineer Manager job openings in Springfield, VA as of August 2026, with employment types broken down into 83% Full Time, 16% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $135,492 per year, or $65.1 per hour.

Data Engineer

RIVIDIUM

Quantico, VA

$123K - $148K/yr

Full-time

Re-posted 23 days ago


Job description

RiVidium Inc. is seeking a Senior Data Engineer to support data-driven decision-making by collecting, transforming, and delivering high-quality data. This role is responsible for designing, building, securing, and optimizing scalable data processing systems with a strong emphasis on performance, reliability, security, and compliance.

Key Responsibilities:

  • Design, build, and maintain scalable data pipelines for structured and unstructured data
  • Develop, optimize, and manage ETL/ELT processes and data ingestion platforms, including cloud-based solutions
  • Build and maintain data warehouse environments and support data modeling efforts
  • Ensure data quality, integrity, security, and compliance across all data systems
  • Collaborate with data scientists, data architects, and stakeholders to deliver data solutions
  • Support and operationalize machine learning models and analytics workflows
  • Develop and maintain APIs for data access and integration
  • Monitor and troubleshoot data infrastructure to ensure performance and reliability
  • Implement automation using metadata management and modern data engineering practices
  • Provide ad hoc data analysis and support self-service data access for stakeholders
  • Design and maintain reporting and dashboarding infrastructure
  • Promote best practices in data engineering, governance, and data lifecycle management
  • Support data tagging, metadata management, and enterprise data governance initiatives
  • Assist in developing data-related policies, documentation, and system requirements
  • Research and recommend improvements to modernize data architecture, including cloud adoption

Minimum Qualifications:

  • Bachelor?s or Master?s degree in Computer Science, Data Science, Information Systems, or a related quantitative field
    • Equivalent work experience may be considered in lieu of a degree
  • Minimum of ten (10) years of IT experience, including at least six (6) years in data engineering or related disciplines
  • Strong experience designing and optimizing data pipelines and architectures
  • Expertise in ETL/ELT processes, data integration, and data warehousing concepts
  • Proficiency in SQL and programming languages such as Python, Java, R, or Scala
  • Experience working with large, complex, and heterogeneous datasets
  • Strong understanding of data modeling, schema design, and metadata management
  • Experience with cloud platforms (AWS, Azure, GCP) and hybrid environments
  • Knowledge of DevOps/DataOps practices, including CI/CD for data pipelines
  • Familiarity with message queuing, stream processing, and real-time data integration technologies
  • Strong analytical, problem-solving, and communication skills

Core Competencies:

  • Ability to design and optimize scalable, high-performance data systems
  • Strong collaboration skills across technical and business teams
  • Expertise in data governance, data quality, and data security practices
  • Ability to translate business requirements into technical data solutions
  • Adaptability in working with evolving technologies and complex environments

Clearance Requirement:

  • TS/SCI clearance required at contract start

Preferred Qualifications:

  • Experience supporting Department of Defense (DoD), Department of Navy (DoN), or law enforcement environments
  • Familiarity with federal data governance and compliance requirements
  • Experience with data visualization tools such as Tableau, Power BI, or Qlik
  • Cloud certifications (AWS, Azure, or GCP)
  • Experience with NoSQL, Hadoop, or big data ecosystems
  • Experience collaborating with data science teams to operationalize machine learning models