Data Engineer

Data Engineer

General Information

Requisition # 643

Locations USA-VA-Arlington - Hybrid, USA-DC-Washington - Hybrid, USA-MD-Maryland - Hybrid, USA-VA-Virginia - Hybrid, USA - Remote - Eastern Time Zone

Posting Date 01/22/2026

Security Clearance Required - Active IRS Public Trust w/ Background Investigation

Remote Type Onsite/Hybrid

Time Type Full time

Description & Requirements

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
• Prior programming experience, preferably in Python, including data
• Design, build, and deploy robust, repeatable, and automated data pipelines using Python, SQL to transform raw data into analytics and ML-ready datasets
• Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data scienc