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 [email protected] and provide your name and contact information.
Top Skills
What We Do
Elder Research is a recognized leader in data science, machine learning, and artificial intelligence consulting. Founded in 1995 by Dr. John Elder, Elder Research has helped government agencies and Fortune Global 500® companies solve real-world problems in diverse industry segments. Our goal is to transform data, domain knowledge, and algorithmic innovations into world-class analytic solutions. When we combine the business domain expertise of our clients with our deep understanding of advanced analytics, we create a team that can extract actionable value from the data. Our areas of expertise include data science, text mining, data visualization, scientific software engineering, and technical teaching. Experience with diverse projects and algorithms, advanced validation techniques, and innovative model combination methods (ensembles) enables Elder Research to maximize project success for a continued return on analytics investment. In 2020 we acquired the Institute for Statistics Education at Statistics.com to provide focused data science, analytics, and statistics training for corporations and individuals. The Institute’s certificates and degrees are certified by the State Council of Higher Education for Virginia, and its courses are approved by the American Council on Education. Elder Research’s Analytics Services are designed to scale based on the unique requirements of each organization and can maximize the client’s return on analytic investment. Elder Research is also a leader in advanced analytic training and offers a variety of training services directed at each of the key stakeholders within an organization. Training builds a common foundation and vision for analytics across business units and lead to the successful adoption, deployment, and maintenance of analytic models within an organization.
