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Navaide

Federal digital transformation and systems engineering

Lead AI & Data Analytics Engineer

Data Engineering +1Confirmed live in the last 24 hours
Full-timeArlington County, Arlington, VA, USA

About the Job

Requirements

  • At least 5 years of experience in data analytics, data engineering, platform engineering, business intelligence, artificial intelligence/machine learning, or analytics product development.
  • Experience building analytics products in Palantir Foundry.
  • Experience working with Advana, Jupiter, or similar federal or Department of Defense data environments.
  • Strong experience with SQL, Python, and TypeScript or JavaScript.
  • Hands-on expertise with one or more modern data engineering, analytics, or data platform technologies, such as Databricks, Spark, Kafka, Hadoop, Snowflake, Azure Data Factory, AWS Glue, Apache NiFi, or Delta Lake.
  • Experience integrating and transforming data from multiple sources and translating business requirements into data products, dashboards, artificial intelligence use cases, and technical solutions.
  • Experience applying artificial intelligence, machine learning, natural language processing, generative artificial intelligence, semantic search, or natural language querying to business or operational data.
  • Strong understanding of data governance, data quality, access control, and responsible artificial intelligence practices.
  • Demonstrated ability to lead use cases, manage ambiguity, and deliver results with limited oversight.
  • Strong client-facing communication and stakeholder engagement skills.
  • Eligibility 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, or Physics, or equivalent experience.

Responsibilities

  • Lead the design, development, and delivery of artificial-intelligence-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.
  • Use 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 extract, transform, and load/extract, load, and transform pipelines in Foundry’s Pipeline Builder and Code Repositories, from raw ingestion 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 information technology systems and meet organizational and compliance requirements.
  • Integrate artificial intelligence, machine learning, natural language processing, generative artificial intelligence, or automated insight-generation capabilities into analytics products and workflows.
  • Identify, prioritize, and drive analytics and artificial intelligence use cases from concept through delivery.
  • Partner with acquisition, contracting, program, and technical stakeholders to understand business problems and translate them into data and artificial intelligence solutions.
  • Develop artificial-intelligence-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 artificial-intelligence-generated outputs against source data, business rules, and subject matter expert feedback.
  • Establish standards for data quality, governance, documentation, and responsible artificial intelligence use.
  • Provide technical direction to junior or support-level data analytics staff.
  • Present findings, prototypes, dashboards, and recommendations to technical and non-technical stakeholders.

About the Company

Navaide

Federal digital transformation and systems engineering

Navaide provides consulting services to U.S. federal government and defense clients, specializing in digital transformation, systems engineering, business process re-engineering, data solutions, and AI/ML. It works by conducting strategic assessments and mission-focused roadmaps, then delivering end-to-end services that manage the full data lifecycle, cloud migrations, and strict security/compliance (FISMA, FedRAMP, DoD). The company differentiates itself through its mission focus, federal-domain expertise, woman-owned leadership, and ability to provide integrated, compliant solutions, plus scale via government contracts and partnerships such as the DON IDIQ and a joint venture with Aeyon for automation and analytics. Its goal is to help federal agencies modernize operations, accelerate modernization efforts, and derive AI-driven insights within tight security and procurement requirements.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
San Diego, CA
Founded
2016

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