Automation Data Engineer for Federal Finance Analytics

Insight Global; Arlington (VA); Remote; USD 85,000 - 94,000; Full time

Benefits offered by this job

Benefits from day one

401(k) after 90 days

Paid time off

Job summary

Insight Global is seeking a Data Engineer to support DHS OCIO financial and budget data capabilities in Arlington, VA. You will partner with Federal stakeholders to automate and improve processes using Python, SQL, and ServiceNow.

The role emphasizes discovery, problem solving, and building backend data solutions within an Agile team. Responsibilities include data ingestion, modeling, ETL/ELT development, data validation, and creating robust data pipelines.

Qualifications

• Bachelor’s degree in IT, Computer Science, Data Science, Engineering, or related field is required.
• 7+ years of IT experience including data engineering, data integration, ETL/ELT development, or related
• Strong experience with ServiceNow data imports, integrations, reporting, workflows, and backend configuration/development
• Demonstrated experience developing and maintaining data pipelines, data transformations, and relational database solutions
• Proficiency with Python and SQL and experience with PostgreSQL or MySQL
• Experience with Git/GitHub or GitLab for version control
• Experience with federal financial, budget, acquisitions, procurement, or accounting data systems
• Experience with AWS data services and data platforms
• Experience with Databricks and data governance capabilities
• Experience creating reports or dashboards with Tableau/Power BI
• Ability to translate complex business rules into repeatable technical solutions

Responsibilities

• Understand, document, validate, and improve financial, acquisitions, budget, and spend-plan data processes
• Ingest, transform, validate, reconcile, store, and provision financial data from upstream sources
• Design, build, and optimize SQL queries, data models, and ETL/ELT processes
• Automate data workflows using Python, ServiceNow, SQL
• Ensure data refresh, quality-control, and publication of financial metrics
• Develop scalable backend services and data-processing logic
• Identify bottlenecks and automation opportunities and implement improvements
• Create technical documentation and data mappings
• Perform testing, validation, reconciliation, and troubleshooting
• Collaborate with stakeholders and vendor teams on requirements
• Apply Agile practices and version control
• Support continuous integration and configuration management
• Foster a culture of customer service and collaboration

Skills

Python

SQL

Data pipelines

ServiceNow

PostgreSQL

Git

AWS

Data quality

ETL/ELT

Problem solving

Education

Bachelor’s degree in IT/CS/Data Science/Engineering

Tools

Git

GitHub

ServiceNow development

Job description

Insight Global is seeking a Data Engineer to support DHS OCIO financial and budget data capabilities in Arlington, VA. You will partner with Federal stakeholders to automate and improve processes using Python, SQL, and ServiceNow.

The role emphasizes discovery, problem solving, and building backend data solutions within an Agile team. Responsibilities include data ingestion, modeling, ETL/ELT development, data validation, and creating robust data pipelines.