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AI Summary
The role involves building and scaling data and AI infrastructure, focusing on designing resilient data pipelines, APIs, and cloud architectures to power next-generation energy intelligence. Key tasks include architecting ingestion systems for energy data and building infrastructure to enable AI tools and coding agents for workflow automation.
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLE
We are looking for a Senior AI Data Engineer (Python) to build and scale the data and AI infrastructure powering next-generation energy intelligence. In this role, you’ll design resilient data pipelines, APIs, and cloud architectures while enabling LLM workflows and automation across the platform. Working closely with technical leadership in a fast-moving startup environment, you’ll shape how data transforms into real-world impact and scalable AI-driven solutions.
WHAT YOU WILL DO
- Build high-reliability data pipelines and APIs to connect to utilities and public energy sources;
- Architect databases and ingestion systems for time-series energy data, billing, and telemetry;
- Design GCP infrastructure such as BigQuery, Cloud SQL, and Secret Manager for scale and cost efficiency;
- Build infrastructure that enables coding agents and AI tools to automate workflows across the stack;
- Set up CI/CD, observability, and automation to maintain fast and reliable delivery;
- Document, communicate, and collaborate across technical and business teams to translate work into impact metrics.
MUST HAVES
- 4-7 years of experience as a Data Engineer;
- Experience building production data systems using Python, TypeScript, GCP, and SQL/NoSQL;
- Upper-intermediate English level.
PERKS AND BENEFITS
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLE
We are looking for a Senior AI Data Engineer (Python) to build and scale the data and AI infrastructure powering next-generation energy intelligence. In this role, you’ll design resilient data pipelines, APIs, and cloud architectures while enabling LLM workflows and automation across the platform. Working closely with technical leadership in a fast-moving startup environment, you’ll shape how data transforms into real-world impact and scalable AI-driven solutions.
WHAT YOU WILL DO
- Build high-reliability data pipelines and APIs to connect to utilities and public energy sources;
- Architect databases and ingestion systems for time-series energy data, billing, and telemetry;
- Design GCP infrastructure such as BigQuery, Cloud SQL, and Secret Manager for scale and cost efficiency;
- Build infrastructure that enables coding agents and AI tools to automate workflows across the stack;
- Set up CI/CD, observability, and automation to maintain fast and reliable delivery;
- Document, communicate, and collaborate across technical and business teams to translate work into impact metrics.
MUST HAVES
- 4-7 years of experience as a Data Engineer;
- Experience building production data systems using Python, TypeScript, GCP, and SQL/NoSQL;
- Upper-intermediate English level.
PERKS AND BENEFITS
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.
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