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Scale AIScale AI

Field Engineer, Public Sector

Field Engineer building and deploying data pipelines, integrations, and backend systems for government customers at customer sites. Requires active Secret clearance, Python, ETL, cloud technologies, and >50% onsite availability.

About the job

Responsibilities

  • 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

  • At minimum an active Secret clearance and willingness to obtain a TS/SCI security clearance.
  • 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.
  • 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).
  • Understanding of shell scripting, operating systems, etc.
  • Understanding of networking technologies, configuration (ports, protocols, etc).
  • 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.

Compensation and Benefits

Compensation packages at Scale for eligible roles include base salary, equity, and benefits.

The base salary range for this full-time position in the location of St. Louis is: $140,000—$220,000 USD

The base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is: $170,000—$260,000 USD

You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Skills

Python, ETL, Data Pipelines, Data Modeling, Data Warehousing, Data Governance, AWS, Azure, GCP, Docker, Kubernetes, Linux, Shell Scripting, Networking

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