Field Engineer, Data Engine

Scale AI is seeking a highly skilled and motivated AI Data Engineer to join our dynamic Federal Engineering team. In this role, you will support Scale’s government customers by scoping and developing onsite solutions using our scalable, high-performance platform.

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 adoption and satisfaction.
• 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

• Active Secret clearance (minimum) 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 or forward-deployed software engineer, with the 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 and 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.

Benefits

• Comprehensive health, dental, and vision coverage.
• Retirement benefits.
• Learning and development stipend.
• Generous PTO.
• Eligible for additional benefits such as a commuter stipend.

Pay

The base salary range for this full-time position in the following locations is:

• San Francisco, New York, Seattle: $190,000—$290,000 USD
• Hawaii, Washington DC, Texas, Colorado: $170,000—$260,000 USD
• St. Louis: $140,000—$220,000 USD

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed reflects the minimum and maximum target for new hire salaries and may be inclusive of several career levels. Final salary will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Eligible roles may also receive equity-based compensation, subject to Board of Director approval.

About Us

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide high-quality data and full-stack technologies that power leading models and help enterprises and governments build, deploy, and oversee AI applications. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force.