Delivery Consultant, Data Engineering and Gen AI

Consultant role focused on designing, building, and maintaining data pipelines and integration workflows for government clients, with a focus on supporting AI and Gen AI use cases. Requires experience in data engineering, Python, SQL, and cloud platforms.

What you'd actually do

  1. Designing, building, testing, and maintaining data pipelines and data integration workflows
  2. Supporting the development and deployment of cloud-based data engineering solutions for analytics and artificial intelligence use cases
  3. Preparing, transforming, and validating structured and unstructured data for downstream reporting, modeling, and operational use
  4. Collaborating with cross-functional teams to troubleshoot issues, improve data quality, and optimize platform performance
  5. Documenting technical designs, development activities, and production support procedures in alignment with project standards

Skills

Required

  • Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, Data Science, Mathematics, or Engineering
  • 3+ years of experience designing, building, and supporting data pipelines and data integration solutions
  • 3+ years of experience with Python and Structured Query Language
  • 2+ years of experience with cloud-based data engineering tools or platforms
  • 1+ year of experience supporting artificial intelligence or generative artificial intelligence data use cases
  • Ability to travel 10%, on average
  • Must be legally authorized to work in the United States without the need for employer sponsorship
  • Must be able to obtain and maintain the required clearance for this role

Nice to have

  • Experience with Amazon Web Services, Microsoft Azure, or Google Cloud Platform
  • Experience with Agentic AI development
  • Experience with Apache Spark, Databricks, or distributed data processing frameworks
  • Experience supporting large language model, vector database, or retrieval-augmented generation implementations
  • Experience serving government or public sector clients

What the JD emphasized

  • 1+ year of experience supporting artificial intelligence or generative artificial intelligence data use cases

Other signals

  • data pipelines
  • data integration
  • cloud-based data engineering
  • AI use cases
  • Gen AI