Data Engineer
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Job Location:
Arlington, TX - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
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 Services 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:
- 27 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 and provide your name and contact information.
Required Experience:
IC
Key Skills
About Company
Elder Research ensures your most complex data science, AI, and machine learning projects deliver real results and lasting impact.
