Senior Data Engineer
Company: Elder Research
Location: Arlington
Posted on: April 1, 2026
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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.
Keywords: Elder Research, Richmond , Senior Data Engineer, IT / Software / Systems , Arlington, Virginia
