Data Engineer
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TCP is partnered with a fast-growing renewable energy technology company building AI-powered software that helps optimize energy storage and renewable assets in real time. Their platform enables energy traders to make smarter decisions, accelerating the transition to a cleaner, more reliable power grid. We're hiring a Data Engineer to help scale the cloud data platform that powers these trading systems. You'll build production data pipelines in Python, expand cloud infrastructure, and collaborate closely with software engineers, data scientists, and ML teams to deliver reliable, high-performance data systems that support real-time trading and AI-driven decision making.
What You'll Do:
- Build and maintain scalable data pipelines and cloud data infrastructure using Python
- Develop production-ready tooling that supports data engineering, software engineering, and machine learning teams
- Improve data quality, reliability, and performance across large-scale datasets
- Enhance orchestration, infrastructure, and cloud platforms using AWS, Docker, Kubernetes, and Terraform
- Collaborate closely with software engineers, data scientists, and ML engineers to support real-time trading systems
What We're Looking For:
- 3+ years of professional experience building production data pipelines
- Strong Python experience with libraries such as Pandas, NumPy, Polars, or Pydantic
- Experience with AWS, Docker, Kubernetes, Terraform, and orchestration tools such as Airflow or Prefect
- Strong SQL skills and experience with relational databases such as PostgreSQLComfortable working in fast-paced engineering environments and collaborating across software, data, and machine learning teams
- Experience with cloud-native data platforms and an interest in AI, machine learning, or large-scale distributed systems is a plus
Work Style: Hybrid (3 days onsite)
Comp: $100k - $130k Base Salary + Healthcare + 401k w/ 5% match + Unlimited PTOPLEASE NOTE SPONSORSHIP WILL NOT BE ABLE TO BE PROVIDED FOR THIS ROLE.