Key skills
ApacheAWSAzureCloudETLHadoopJavaScriptKafkaPySparkPythonSparkSQLTypeScriptAIMachine LearningMLNLPNatural Language ProcessingGenerative AIELTData EngineeringAnalyticsBIBusiness IntelligencePower BISnowflakeDatabricksGlueLeadershipCommunication
About this role
Role Overview
- Lead the design, development, and delivery of AI-enabled analytics products supporting acquisition and contract writing operations.
- Build and maintain data products, dashboards, workflows, and analytical applications using Palantir Foundry and Microsoft Power Platform.
- Work within Advana and Jupiter environments to access, analyze, and connect relevant data sources to Palantir Foundry and Power Platform solutions.
- Develop data pipelines, reusable data models, and analytics layers using Databricks, SQL, Python, PySpark, or similar tools.
- Build and maintain ETL/ELT pipelines in Foundry’s Pipeline Builder and Code Repositories — from raw ingest through staging to curated, production-ready datasets.
- Design end-to-end big data architectures across cloud implementations of Foundry, including data lakes, pipelines, warehouses, and analytics platforms; apply Foundry’s open architecture principles to ensure interoperability with existing IT systems and meet organizational and compliance requirements.
- Integrate AI, machine learning, natural language processing, generative AI, or automated insight-generation capabilities into analytics products and workflows.
- Identify, prioritize, and drive analytics and AI use cases from concept through delivery.
- Partner with acquisition, contracting, program, and technical stakeholders to understand business problems and translate them into data and AI solutions.
- Develop AI-enabled capabilities such as natural language querying, automated leadership summaries, risk indicators, anomaly detection, trend analysis, workload forecasting, and decision-support recommendations.
- Build dashboards and reports that provide insight into contract writing activity, workload, procurement status, cycle times, data quality, system adoption, bottlenecks, and operational risk.
- Support data integration across contract writing, procurement, financial, program, and operational data sources.
- Validate AI-generated outputs against source data, business rules, and subject matter expert feedback.
- Establish standards for data quality, governance, documentation, and responsible AI use.
- Provide technical direction to junior or support-level data analytics staff.
- Present findings, prototypes, dashboards, and recommendations to both technical and non-technical stakeholders.
Requirements
- 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.
Tech Stack
- Apache
- AWS
- Azure
- Cloud
- ETL
- Hadoop
- JavaScript
- Kafka
- PySpark
- Python
- Spark
- SQL
- TypeScript
Benefits
- Competitive compensation: $130,000 – 150,000 / year (commensurate with experience)
- Comprehensive benefits, including medical, dental, and vision coverage
- Flexible time off
- Professional development opportunities
- Company perks such as flex spending, wellness initiatives, etc.
- 401(K) matching