Hands-on Senior Data Engineer to design and maintain scalable AWS ETL/ELT pipelines, evolve a data lakehouse with Apache Iceberg, implement governance and security, optimize performance and costs, enable analytics-ready datasets, and ensure reliability, monitoring, and data quality.
ON.energy is building the power infrastructure that makes the AI era possible. As AI demand surges past what the grid and traditional data centers can support, ON.energy provides a new class of power technology proven at gigawatt scale and trusted by the world’s leading cloud and AI companies. Our systems are already deployed across 2.5 GW of hyper-scale campuses, validated by top U.S. national labs, and certified for grid-safe operation by major utilities. With real products in the field, we’re scaling faster than the grid can, transforming power from a bottleneck into a competitive advantage for the companies building the future.
We are looking for a hands-on Senior Data Engineer to join a small team (2 Data Engineers + 1 Data Analyst). You will help scale our AWS-based data infrastructure, working primarily with industrial data sources and high-volume time-series data.
Responsibilities Will Include:- Engage directly with end users to understand how they consume data, and design solutions that serve their needs.
- Design, develop, and maintain scalable ETL/ELT pipelines for batch and real-time processing, including high-frequency time-series ingestion.
- Evolve the Data Lakehouse—optimizing storage, performance, and data consistency.
- Manage orchestration workflows with complex dependencies and error handling.
- Implement data governance, security controls, and audit policies across the AWS ecosystem, leveraging services such as AWS Lake Formation for centralized data lake permissions and governance.
- Optimize performance and cost (FinOps); identify and resolve technical bottlenecks.
- Partner with the Data Analyst to deliver production-ready, analytics-optimized datasets.
- Build monitoring, alerting, and data quality testing for platform reliability.
Requirements:
- Bachelor’s degree in Computer Science, Computer Engineering, or a closely related discipline is required.
- At a minimum, 5+ years of experience in Data Engineering, Analytics Engineering, or related roles.
- Deep hands-on experience with core AWS data services: Glue, Athena, Step Functions, Lambda, Kinesis, and Lake Formation.
- Hands-on experience with Apache Iceberg (required).
- Expert proficiency in Python (PySpark / Python Shell) and advanced SQL (window functions, CTEs, execution plan tuning).
- Solid grasp of ETL/ELT tooling and dimensional modeling best practices (Kimball).
- Experience preparing data architectures for visualization tools and operational/management reporting.
- Practical experience with NoSQL engines (e.g., DynamoDB) and relational SQL databases.
- Infrastructure as Code: Terraform or AWS CloudFormation.
Preferred Experience:
- Apache Airflow (MWAA experience preferred) or native AWS orchestration.
- Familiarity with dbt, Airbyte, or Fivetran.
- Experience automating CI/CD for Glue jobs or Lambda deployments.
Soft Skills:
- Senior peer mindset—leads through code reviews and mentorship, not hierarchy.
- Pragmatic decision-maker who picks the right tool for cost, efficiency, and project needs.
- Strong ownership of end-to-end data quality and system availability.
- Clear communicator who can translate business needs into technical solutions.
For US-based roles - What you’ll get:
- Competitive salary + annual performance-based bonus eligibility
- Medical, dental, and vision insurance
- 401(k) with company match
- Paid time off and company holidays
For Mexico-based roles - What you’ll get:
- Competitive salary + annual performance bonus eligibility
- Christmas Bonus (Aguinaldo): 30 days
- Major medical expenses and life insurance
- Paid time off and holidays (per local policy)
For all roles:
- Professional development and growth opportunities
- Opportunity to grow with a mission-driven team shaping the future of clean energy
- Equal Opportunity: ON.energy is committed to equal employment opportunity and to maintaining a work environment free of harassment, discrimination, or retaliation.
- Accommodations: If you need an accommodation during the application process, email [email protected]
- Benefits vary by role and location and are subject to change.
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