Data Engineer

elderresearch; Arlington (VA); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Elder Research Inc. in Arlington, VA is seeking a Data Engineer for a hybrid role supporting IRS fraud analytics and data-intensive projects. You will design secure, scalable data pipelines powering analytics, ML models, and decision-support tools in collaboration with IRS stakeholders.

You will work with data scientists, program managers, and technical teams to translate needs into reliable data solutions, ensuring production-ready data products in government environments.

Qualifications

• 2–7+ years in data science/analytics with programming experience, preferably Python.
• Bachelor of Science in statistics/CS/economics/math/analytics/data science/engineering or related field.
• Design and deploy robust, automated data pipelines with Python and SQL.
• Engineer data pipelines for fraud detection and compliance analytics across structured/unstructured data in Databricks.
• Develop ML data workflows across on-prem and cloud, integrating with analytics platforms.
• Partner with data scientists and stakeholders to translate requirements into technical designs.
• Improve scalability, reliability, maintainability, and security in data/ML workflows.
• Willing to learn new tech, adapt to evolving requirements, travel and work on-site as needed.

Responsibilities

• Troubleshoot and resolve complex data and system issues across cross-functional environments.
• Engineer solutions that integrate diverse data types to support analytics.
• Collaborate with data scientists and stakeholders to deploy analytics apps and dashboards.
• Write, test, and refine code in Python, SQL, Java, and other languages.
• Build and maintain secure, scalable data pipelines in restricted environments.
• Support the full engineering lifecycle from design to deployment and monitoring.
• Produce technical docs and briefings for technical and non-technical audiences.
• Act as a technical consultant translating needs into effective data solutions.

Skills

Python

SQL

Data pipelines

Agile

Collaboration

Education

BSc in relevant field

Tools

Databricks

AWS

PySpark

Spark SQL

Unity Catalog

Git

Job description

Data Engineer

General Information

Requisition # 675

Locations

USA-VA-Arlington

Posting Date

03/04/2026

Security Clearance Required

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 Data Engineer to join our team in Arlington, VA. This is a hybrid position Preferably located in the Washington DC area.

As a Data Engineer, you will support the Internal Revenue Service’s mission to combat tax fraud, identity theft, and non-compliance by designing and delivering secure, scalable, and automated data pipelines that power advanced analytics, machine learning models, and decision-support tools. You will work directly with IRS stakeholders, program managers, data scientists, and technical teams to translate complex business and compliance needs into reliable data engineering solutions.

Your work will enable fraud detection, audit prioritization, refund review, and compliance risk analysis across large, sensitive tax and financial datasets. This role sits within an analytics-focused business unit supporting IRS enforcement, compliance, and research initiatives, partnering closely with data science and analytics teams to ensure data products are production-ready, trustworthy, and mission-aligned.

Responsibilities include but are not limited to:

• Troubleshoot and resolve complex data and system issues across cross-functional and mission-critical environments with minimal supervision
• Engineer solutions that integrate diverse data types, including transactional, financial, and textual data, to support compliance and fraud analytics
• Collaborate with data scientists and stakeholders to deploy analytics applications, dashboards, and decision-support tools
• Write, test, and refine reusable, well-documented code in Python, SQL, Java, and other languages using collaborative development practices
• Build and maintain secure, scalable data pipelines and end-to-end systems, including operation within air-gapped or restricted government environments
• Support the full engineering lifecycle, from concept and design through deployment, monitoring, and ongoing support
• Produce technical documentation and deliver briefings or presentations to technical and non-technical audiences
• Act as a technical consultant, translating business, compliance, and enforcement needs into effective data solutions

Minimum Qualifications:

• 2–7+ years of experience in data science, analytics, or a related technical field, with prior programming experience, preferably in Python
• Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, data engineering, business, or social sciences
• Design, build, and deploy robust, repeatable, and automated data pipelines using Python and SQL to transform raw data into analytics and ML-ready datasets
• Engineer data pipelines that support fraud detection, compliance analytics, and predictive risk modeling across structured and unstructured data sources in Databricks
• Develop and maintain end-to-end machine learning data workflows across on-premises and cloud environments, integrating backend systems with analytics platforms and user-facing applications
• Partner closely with data scientists, analysts, product managers, and government stakeholders to align data engineering solutions with IRS mission objectives, and translate client and stakeholder requirements into clear, actionable technical designs and implementation plans
• Modernize and optimize data and ML workflows by implementing best practices for scalability, reliability, maintainability, and security, while contributing effectively within agile, fast-paced development environments supporting iterative delivery and continuous improvement
• Demonstrate a strong willingness to learn new technologies, adapt to evolving requirements, share knowledge across teams, and travel and work on-site with clients as project needs require

Preferred Qualifications:

• Advanced degree (MS) in analytics, computer science, data science, mathematics, statistics, engineering, management information systems, decision science, or related fields
• Experience with version control systems (Git, SVN, Mercurial) and collaborative programming practices (pair programming, code reviews), as well as containerization and environment management (venv, conda)
• Experience with platforms and technologies such as Databricks and AWS, including prior Databricks experience in Unity Catalog, PySpark, Spark SQL, and Jobs
• Familiarity with vector, object, and document-based data storage systems, and experience implementing data engineering solutions in remote or austere environments, including use of bash and command-line tools
• Experience with business intelligence and data visualization tools (Power BI, Tableau), and understanding of the data analytics lifecycle (e.g., CRISP-DM) and how engineering supports downstream analytics and ML use case

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 [e-mail] and provide your name and contact information.