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Senior Data Engineer Manager Jobs (NOW HIRING)

Senior Data Engineer

Arlington, VA · Hybrid

$121K - $165K/yr

Senior Data Engineer General Information Requisition # 683 Locations USA-VA-Arlington Posting Date ... Frequently communicates with co-workers, management, and customers, which may involve delivering ...

Senior Data Engineer

Arlington, VA · On-site

$122K - $165K/yr

Senior Data Engineer General Information Requisition # 683 Locations USA-VA-Arlington Posting Date ... Frequently communicates with co-workers, management, and customers, which may involve delivering ...

Senior Data Engineer

Brentwood, TN · On-site

$55 - $65/hr

Senior Data Engineer (Azure / Databricks) Location: Multiple U.S. locations (client sites vary ... Integrate data from ERP, project management, cost systems, APIs, and SFTP sources. Data Quality ...

Sr. Data Engineer - Databricks

$117K - $140K/yr

... Sr. Data Engineer - Databricks to join our innovative and dynamic team. Sr. Data Engineer ... Implement and manage data solutions using Databricks, Delta Lake, and Unity Catalog. * Ensure data ...

Sr. Data Engineer

Washington, DC · Remote

$108K - $147K/yr

Knowledge Management, Inc. (KMI) has the leadership and experience to deliver innovative technology ... Job Requisition: Sr. Data Engineer Location : Washington, DC (remote with availability required ...

New

About the Indiana Management Performance Hub (MPH) The Management Performance Hub provides ... The Senior Data Engineer develops and leads the MPH data engineering strategy, shaping modern ...

Sr. Data Engineer

Washington, DC · On-site

$120K - $163K/yr

Knowledge Management, Inc. (KMI) has the leadership and experience to deliver innovative technology ... Job Requisition: Sr. Data Engineer Location : Washington, DC (remote with availability required ...

Senior Data Engineer

Austin, MN · On-site

$117K - $164K/yr

The Senior Data Engineer must have 10+ years of experience ... You must have extensive Supply Chain Management and SCM Data Sets experience. Required Experience ...

$194K/yr

The Senior Data Engineer is responsible for designing, building and maintaining modern data ... Design, build and manage scalable data pipelines using Azure Data Factory (ADF), Azure Data Lake ...

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 ... Our customers include NASA, the General Services Administration, Office of Personnel Management ...

Senior Data Engineer

Houston, TX · On-site

$101K - $137K/yr

Senior Data Engineer Location: Houston, TX (Onsite/Hybrid - Based on Client Requirements ... SQL & Python * Data Governance & Metadata Management * Data Catalog, Lineage & Data Quality

The Senior Data Engineer is responsible for designing, building and maintaining modern data ... Design, build and manage scalable data pipelines usingAzure Data Factory (ADF),Azure Data Lake ...

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Senior Data Engineer Manager information

See salary details

$81K

$126.3K

$175K

How much do senior data engineer manager jobs pay per year?

As of Jul 26, 2026, the average yearly pay for senior data engineer manager in the United States is $126,328.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $144,000.00 per year, depending on experience, location, and employer.

What does a Senior Data Engineer Manager do?

A Senior Data Engineer Manager oversees teams of data engineers responsible for designing, building, and maintaining an organization’s data infrastructure. They develop strategies for data architecture, ensure the quality and security of data systems, and collaborate with other departments to meet business goals. In addition to technical responsibilities, they manage team performance, provide mentorship, and align data initiatives with company objectives.

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

AspectSenior Data Engineer ManagerData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; often leadership experienceBachelor's in CS, Data Science, or related
Work EnvironmentLeads teams, manages projects, strategic planningDevelops data pipelines, coding, data modeling
Industry UsageCommon in organizations with large data teamsEntry to mid-level roles in data teams

The Senior Data Engineer Manager oversees data engineering teams and projects, focusing on leadership and strategy, while Data Engineers primarily build and maintain data pipelines and infrastructure. The managerial role requires leadership skills and experience, whereas Data Engineers focus on technical execution.

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

To thrive as a Senior Data Engineer Manager, you need deep expertise in data engineering, architecture, and leadership, typically backed by a degree in computer science or a related field and several years of experience. Proficiency with big data tools (such as Hadoop, Spark, Kafka), cloud platforms (AWS, Azure, or GCP), and data pipeline orchestration systems is essential, and certifications in these technologies can be advantageous. Exceptional communication, team management, and strategic thinking skills help you lead teams and align data solutions with business goals. These skills and qualities are vital for building scalable data infrastructure, fostering high-performing teams, and delivering actionable insights to drive organizational success.

What are some common challenges that Senior Data Engineer Managers face when leading data teams?

Senior Data Engineer Managers often encounter challenges in balancing strategic oversight with hands-on technical leadership. Managing cross-functional teams means coordinating efforts across data engineering, analytics, and business stakeholders, which can lead to complex communication and prioritization issues. Additionally, overseeing large-scale data infrastructure projects requires staying updated on evolving technologies while ensuring data quality and security. Effective delegation, fostering team growth, and aligning technical solutions with business goals are key to overcoming these challenges.
More about Senior Data Engineer Manager jobs
What cities are hiring for Senior Data Engineer Manager jobs? Cities with the most Senior Data Engineer Manager job openings:
What are the most commonly searched types of Senior Data Engineer jobs? The most popular types of Senior Data Engineer jobs are:
What states have the most Senior Data Engineer Manager jobs? States with the most job openings for Senior Data Engineer Manager jobs include:
What job categories do people searching Senior Data Engineer Manager jobs look for? The top searched job categories for Senior Data Engineer Manager jobs are:
Infographic showing various Senior Data Engineer Manager job openings in the United States 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 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $126,328 per year, or $60.7 per hour.
Senior Data Engineer

Senior Data Engineer

Elder Research

Arlington, VA • Hybrid

$121K - $165K/yr

Other

Posted 7 days ago


Job description

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


Description & Requirements

Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Senior Data Engineer to join our team in Arlington, VA. This is a hybrid position with several days onsite over the course of a month.

We are seeking a Senior Data Engineer to support the infrastructure and pipelines powering mission-critical fraud detection analytics. This role ensures reliable integration, execution, and performance of analytical workflows across both legacy and modern analytics environments.

The ideal candidate brings deep engineering expertise and experience supporting analytics in large-scale production systems within regulated environments.

Responsibilities include but are not limited to:

  • Design, develop, and maintain data pipelines and analytical infrastructure supporting fraud detection analytics.
  • Integrate analytical models and rules into operational production systems.
  • Ensure reliability and continuity of production analytics workflows during operational cycles.
  • Support testing, validation, and migration of analytical models and logic across platforms.
  • Perform data extraction, transformation, and feature engineering for large-scale analytics datasets.
  • Collaborate with IT and platform teams to resolve data and infrastructure issues.
  • Support modernization efforts to improve scalability and performance of analytical environments.
  • Maintain documentation for data pipelines, analytical workflows, and system integrations.

Minimum Qualifications:

  • Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, data engineering, business, or social sciences
  • 8+ years of experience in data engineering, analytics engineering, or production analytics system support.
  • 3+ years supporting analytics in fraud detection, compliance, identity theft, or similarly regulated environments.
  • Strong experience supporting analytics across legacy and modern enterprise platforms.
  • Expertise working with large and complex datasets in distributed environments.
  • Proficiency with SQL, Python, and data engineering frameworks used in analytics development.
  • Experience with Databricks, PostgreSQL, or comparable enterprise analytics platforms.
  • Demonstrated ability to support data extraction, transformation, feature engineering, and model execution pipelines.
  • Experience supporting testing, validation, troubleshooting, and migration of analytical logic and models.

Preferred Qualifications:

  • Advanced degree (MS) in analytics, computer science, data science, mathematics, statistics, engineering, management information systems, decision science, or related fields
  • Ability to coordinate effectively with IT teams, data scientists, and program stakeholders.
  • Strong documentation and communication skills for technical and operational audiences.

Clearance Requirements:

  • Must currently possess an IRS Public Trust clearance with Full Background Investigation

Physical Requirements:

  • Must be able to remain in a stationary position 50%
  • Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
  • Frequently communicates with co-workers, management, and customers, which may involve delivering presentations.
  • Must be able to exchange accurate information in these situations

About Elder Research, Inc - People Centered. Data Driven

Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.

If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.