Senior Financial Data Engineer: Federal Defense Analytics

Jobtome; Springfield (IL); Presencial; USD 113.000 - 188.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical Insurance

401(k) Retirement Plan

Tuition Reimbursement

Paid Holidays

Descripción de la vacante

Guidehouse is seeking a Data Engineer to join its Defense and Security segment. The role focuses on collecting, transforming, and analyzing data to support financial management and IT programs for the DHS.

You will ingest data from APIs, databases, and file interfaces, ensuring quality and governance while enabling reporting and decision making. The ideal candidate has 3+ years of data experience, strong SQL, Python, R, and Databricks skills, and familiarity with ML and AI techniques.

Formación

• Bachelor's degree required.
• 3+ years of data experience.
• Experience in data analytics to address management and operational challenges.
• Proficiency in SQL, Python, R, and Databricks.
• Proficiency with Microsoft Office, especially PowerPoint, Word, and Excel.
• Experience with statistical analysis, predictive modelling, ML, and AI.

Responsabilidades

• Ingest, transform, integrate, and analyze data from diverse sources.
• Aggregate, clean, and QA datasets to support reporting and decision making.
• Design data integration and standardization frameworks for interoperability across systems.
• Develop data models, algorithms, and predictive models; conduct ad hoc analysis.
• Lead client meetings and document actions, agendas, and outcomes.
• Support business development and internal initiatives while delivering client services.

Conocimientos

SQL

Python

R

Databricks

Power BI

Power Automate

ML

Educación

Bachelor's degree

Herramientas

Azure

AWS

Power Platform

SharePoint

Descripción del empleo

Guidehouse is seeking a Data Engineer to join its Defense and Security segment. The role focuses on collecting, transforming, and analyzing data to support financial management and IT programs for the DHS.

You will ingest data from APIs, databases, and file interfaces, ensuring quality and governance while enabling reporting and decision making. The ideal candidate has 3+ years of data experience, strong SQL, Python, R, and Databricks skills, and familiarity with ML and AI techniques.