Finance Data Engineer — AI/Analytics for Federal Programs

Guidehouse; Washington (District of Columbia); On-site; USD 113,000 - 188,000; Full time

Benefits offered by this job

Health Insurance

Paid Holidays

Bonuses eligible

Parental Leave

401(k) Plan

Mobility Stipend

Training & Certifications

Job summary

Guidehouse is seeking a Data Engineer to join our AI & Data Practice in Washington, DC. You will collect, transform, and analyze data to support cross‑agency financial management and IT programs, informing decisions and enabling reporting across systems.

Responsibilities include data ingestion, data quality assurance, modeling, and ad hoc analytics using SQL, Python, PySpark and Databricks. Collaboration with clients and internal teams is ongoing, with a focus on governance and scalable

Qualifications

• Bachelor's degree required.
• 3+ years of data experience.
• Experience with data analytics to address management and operational challenges.
• Proficiency in SQL, Python, R, and Databricks.

Responsibilities

• Accessing data sources and developing ingestion and integration solutions.
• Aggregate, clean and organize datasets with QA.
• Design data modeling processes and predictive analytics.
• Ensure data governance and quality assurance standards.
• Lead client meetings and support business development.

Skills

Data analytics

SQL

Python

R

Databricks

Education

Bachelor's degree

Tools

SQL

Python

R

Databricks

Microsoft Excel

PowerPoint

Word

Job description

Guidehouse is seeking a Data Engineer to join our AI & Data Practice in Washington, DC. You will collect, transform, and analyze data to support cross‑agency financial management and IT programs, informing decisions and enabling reporting across systems.

Responsibilities include data ingestion, data quality assurance, modeling, and ad hoc analytics using SQL, Python, PySpark and Databricks. Collaboration with clients and internal teams is ongoing, with a focus on governance and scalable