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

RIVIDIUM

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 ...

Intrepidgs

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Develop and manage data integration processes and tools. * Ensure data quality and integrity by ... Stay up-to-date with the latest data engineering trends, technologies, and best practices.

Fantom Corporation

Data Engineer

Chantilly, VA

$117K - $140K/yr

Familiarity with modern data engineering best practices and cloud-native architectures Fantom Corp is a Software Development, Agile Cloud, Software Development, Cyber Security (Risk Management ...

New

Info Gain Consulting

Data Engineer

Alexandria, VA · Remote

$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 ...

Booz Allen Hamilton, Inc.

Data Engineer

Chantilly, VA · 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 ...

Booz Allen Hamilton

Data Engineer

Chantilly, VA · 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 ...

MANTECH

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 ...

Intrepid

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Develop and manage data integration processes and tools. * Ensure data quality and integrity by ... Stay up-to-date with the latest data engineering trends, technologies, and best practices.

Accenture Federal Services

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 ...

Booz Allen Hamilton

Data Engineer

Chantilly, VA · 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 ...

Info Gain Consulting

Data Engineer

Alexandria, VA · 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 ...

CyberMedia Technologies

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 ...

Bridge Core (BCore)

Data Engineer

Herndon, VA · On-site

$175K - $195K/yr

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

Staffed4U

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 ...

Bridge Core (BCore)

Data Engineer

Herndon, VA · 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 ...

MANTECH

Data Engineer

Chantilly, VA

$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 ...

Agelix Consulting

Data Engineer

Washington, DC · Remote

$117K - $140K/yr

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

Staffed4U

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 ...

MANTECH

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 ...

Bigbear.ai

Data Engineer

Washington, DC · On-site

$109K - $146K/yr

Overview BigBear.ai are seeking a highly skilled and motivated Data Engineer to join our Data ... This position requires expertise in ETL development , AWS cloud services , and database management ...

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All JobsData Engineer JobsData Engineer Manager JobsData Engineer Manager Jobs in Springfield, VA

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 Jul 9, 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 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 Springfield, VA? The most popular types of Data Engineer jobs in Springfield, VA are:
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Data Engineer Manager jobs near you
Data Engineer

Data Engineer

RIVIDIUM

Quantico, VA

$123K - $148K/yr

Full-time

Re-posted 22 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

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