Field Engineer

San Francisco, USA Full-time Hybrid $140k — $290k per year 10/26/2026 Job ID: 000490
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Data Engineering ETL Data pipelines Data modeling Data warehousing

Summary

What you’ll impact

Our organization is hiring an AI Data Engineer for its Federal Engineering team to design and implement data pipelines and backend systems that integrate with government customers' workflows. The role involves on‑site work, collaboration with cross‑functional teams, and delivering customer‑focused features while maintaining required security clearances.

Responsibilities

What you'll do

  • Be open to >50% onsite work in a secured space.
  • Collaborate with cross-functional teams to define and execute the vision for data pipelines and agents.
  • Implement end-to-end data integrations, syncing customer’s data to Scale’s platform and back.
  • Deploy and maintain Scale software at customer sites.
  • Develop customer requested features and work closely with them to ensure that they win customer love.
  • Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions.
  • Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions.

Requirements

What you’ll bring

  • This role will require at minimum an active Secret clearance and willingness to obtain a TS/SCI security clearance.
  • Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles
  • Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles.
  • Prior experience developing with Python
  • Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus
  • Linux experience: Understanding of shell scripting, operating systems, etc
  • Networking experience: Understanding of networking technologies, configuration (ports, protocols, etc) is a plus.
  • Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles

Ready to Move Forward?

Apply now and our recruiting team will reach out with next steps, interview guidance, and client insights tailored to this role.

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Equal Opportunity Employer

Intelatek is an Equal Opportunity Employer. All qualified applicants will receive consideration based on qualifications, merit, and business need, without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other status protected by applicable law. Need an accommodation? Email accommodations@intelatek.co.