Job Requirements
Arlington, VA
Secret Polygraph not specified
Mid Level Career (5+ yrs experience)
Salary not specified
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Job Description
Location: Hybrid; remote/onsite in Arlington, VA
We are seeking a proactive Lead AI & Data Analytics Engineer to support a federal acquisition process modernization effort. This individual will serve as the technical and functional lead for building AI-enabled analytics products using Palantir Foundry, Microsoft Power Platform, Advana, Jupiter, and Databricks.
This is not a traditional dashboard developer role. The successful candidate must be a self-starter who can engage directly with business stakeholders, understand acquisition and contract writing processes, identify high-value use cases, connect data across platforms, and deliver decision-support capabilities with limited oversight.
The ideal candidate will help the client move from static reporting to integrated, AI-enabled analytics that generate actionable insights, identify risk, improve visibility, and support better acquisition decision-making.
Required Qualifications:
- 5+ years of experience in data analytics, data engineering, platform engineering, business intelligence, AI/ML, or analytics product development.
- Experience building analytics products in Palantir Foundry.
- Experience working with Advana, Jupiter, or similar federal/DoD data environments.
- Strong experience with SQL, Python, TypeScript/JavaScript.
- Hands-on expertise with one or more modern data engineering, analytics, or data platform technologies (e.g. Databricks, Spark, Kafka, Hadoop, Snowflake, Azure Data Factory, AWS Glue, Apache NiFi, Delta Lake).
- Experience integrating and transforming data from multiple sources and translating business requirements into data products, dashboards, AI use cases, and technical solutions.
- Experience applying AI, machine learning, NLP, generative AI, semantic search, or natural language querying to business or operational data.
- Strong understanding of data governance, data quality, access control, and responsible AI practices.
- Demonstrated ability to lead use cases, manage ambiguity, and deliver results with limited oversight.
- Strong client-facing communication skills and stakeholder engagement skills.
- Eligible to obtain a U.S. Government clearance
- Experience with Microsoft Power Platform, including Power BI; Power Apps and Power Automate.
- Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, Information Systems, Mathematics, Physics, or a related technical field, or equivalent experience.
We are seeking a proactive Lead AI & Data Analytics Engineer to support a federal acquisition process modernization effort. This individual will serve as the technical and functional lead for building AI-enabled analytics products using Palantir Foundry, Microsoft Power Platform, Advana, Jupiter, and Databricks.
This is not a traditional dashboard developer role. The successful candidate must be a self-starter who can engage directly with business stakeholders, understand acquisition and contract writing processes, identify high-value use cases, connect data across platforms, and deliver decision-support capabilities with limited oversight.
The ideal candidate will help the client move from static reporting to integrated, AI-enabled analytics that generate actionable insights, identify risk, improve visibility, and support better acquisition decision-making.
Required Qualifications:
- 5+ years of experience in data analytics, data engineering, platform engineering, business intelligence, AI/ML, or analytics product development.
- Experience building analytics products in Palantir Foundry.
- Experience working with Advana, Jupiter, or similar federal/DoD data environments.
- Strong experience with SQL, Python, TypeScript/JavaScript.
- Hands-on expertise with one or more modern data engineering, analytics, or data platform technologies (e.g. Databricks, Spark, Kafka, Hadoop, Snowflake, Azure Data Factory, AWS Glue, Apache NiFi, Delta Lake).
- Experience integrating and transforming data from multiple sources and translating business requirements into data products, dashboards, AI use cases, and technical solutions.
- Experience applying AI, machine learning, NLP, generative AI, semantic search, or natural language querying to business or operational data.
- Strong understanding of data governance, data quality, access control, and responsible AI practices.
- Demonstrated ability to lead use cases, manage ambiguity, and deliver results with limited oversight.
- Strong client-facing communication skills and stakeholder engagement skills.
- Eligible to obtain a U.S. Government clearance
- Experience with Microsoft Power Platform, including Power BI; Power Apps and Power Automate.
- Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, Information Systems, Mathematics, Physics, or a related technical field, or equivalent experience.
group id: 91173019