Remote Data Analytics Engineer - SQL, Python & Databricks

Systems Planning & Analysis

Indianapolis (IN)

Remote

USD 123,000 - 146,000

Full time

5 days ago
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Job summary

Systems Planning & Analysis seeks a Data Analytics Engineer to support US Army Financial Management Command initiatives. You will extract and prepare data (DJMS, IPPS-A), build scalable analytics, and develop Power BI dashboards for decision support.

You'll collaborate with stakeholders, ensure security clearances, and deploy robust analytics solutions with thorough documentation for end-users.

Qualifications

  • Bachelor's degree in Math, CS, IS, Data Science, or related field.
  • 3+ years of Power Platform development (Apps, Automate, BI).
  • 3+ years of SQL experience.
  • 3+ years of Python experience.
  • Experience with Databricks Data Intelligence Platform.
  • Familiarity with Army Vantage and data cleansing/prep/translation.
  • Active Secret security clearance.

Responsibilities

  • Collaborate with stakeholders to gather business requirements.
  • Design scalable analytics solutions and data models.
  • Extract data from source systems (DJMS, IPPS-A, etc.).
  • Load data into Databricks warehouse and clean for analysis.
  • Build datasets for dashboards and reports.
  • Create Power BI dashboards and reports.
  • Conduct testing (unit, integration, UAT) and deploy to production.
  • Provide ongoing maintenance and user guides for solutions.

Skills

Power Platform development
SQL
Python
Databricks
Army Vantage
Data cleansing

Education

Bachelor's degree in Math, Computer Science, Information Systems, Data Science, or related field

Tools

Power Platform (Apps/Automate/BI)
Databricks
Army Vantage

Job description

Systems Planning & Analysis seeks a Data Analytics Engineer to support US Army Financial Management Command initiatives. You will extract and prepare data (DJMS, IPPS-A), build scalable analytics, and develop Power BI dashboards for decision support.

You'll collaborate with stakeholders, ensure security clearances, and deploy robust analytics solutions with thorough documentation for end-users.

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