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Scale AI

Field Engineer, Data Engine

Scale AI · Colorado Springs, CO; Omaha, NE; St. Louis, MO; Washington, DC

Posted about 3 months ago

or apply directly on Scale AI's site. We never take the application ourselves.

Is this posting real?

This role has been open
87 days
Scale AI's roles stay open a median of 87 days
Reposted
No
Salary listed
No
2% of Scale AI's roles list one
Ghost-job risk at Scale AI
high
217 stale, 5 reposted of 217 open
Hiring momentum
270 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-29

Measured from postings appearing on and disappearing from Scale AI's own greenhouse board since 2026-08-03. Full hiring picture for Scale AI.

About this role

As a Field Engineer, Data Engine at Scale AI, you will support government customers by developing and implementing onsite solutions that integrate with existing systems. Your role will involve collaborating with cross-functional teams to create data pipelines, deploying software at customer sites, and ensuring customer satisfaction through tailored feature development. You will also engage directly with customers to understand their requirements and deliver innovative solutions, all while maintaining a strong focus on security clearances.

Our read on this posting2.4out of 5
benefits
3/5
freshness
1/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Scale AI as an employer.

What you need

  • Active Secret clearance and willingness to obtain a TS/SCI security clearance
  • Knowledge of ETL processes and experience in building data pipelines
  • Experience developing with Python
  • Familiarity with cloud platforms (e.g., AWS, Azure, GCP)
  • Understanding of shell scripting and operating systems
  • Strong analytical and problem-solving skills

Nice to have

  • Experience in developing and deploying applications in a cloud-native environment
  • Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes)
  • Understanding of networking technologies and configuration

What you get

  • Comprehensive health, dental and vision coverage
  • Retirement benefits
  • Learning and development stipend
  • Generous PTO
  • Potential commuter stipend
  • Equity-based compensation

Worth weighing

  • Over 50% onsite work required in a secured space
  • Salary range varies significantly by location
  • 90-day waiting period for reconsidering candidates for the same role

Summarised from Scale AI's posting. Read the full original.

Listed by Scale AI on their greenhouse job board, last confirmed open on 2026-10-29. PitchMeAI is not the employer.

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