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.
Skills Required
- 5 to 8 years of experience
- Deep experience with AWS data services: Glue, Athena, Step Functions, Lambda, Kinesis
- Hands-on experience with Apache Iceberg (modern table formats)
- Expert proficiency in Python (PySpark / Python Shell)
- Advanced SQL skills (window functions, CTEs, execution plan tuning)
- Practical experience with NoSQL (e.g., DynamoDB) and relational SQL databases
- Knowledge of ETL/ELT tools and modeling best practices (Dimensional/Kimball)
- Infrastructure as Code experience (Terraform or AWS CloudFormation)
- Experience preparing data architectures for visualization and operational reporting
- Reliability, observability, monitoring, automated alerting, and data quality testing
- Willingness to conduct code reviews and mentor peers; strong collaboration and communication
- Experience with Apache Airflow (MWAA preferred) and native AWS orchestration
- Familiarity with dbt, Airbyte, or Fivetran
- CI/CD automation for Glue jobs or Lambda deployments
What We Do
ON.energy is building the backbone of energy and AI infrastructure, powering grid-safe data centers and mission-critical facilities. The company supplies and operates hyperscale power systems that solve the toughest resilience challenges, delivering custom solutions for AI data centers, mission-critical facilities, and front-of-the-meter assets. Its track record spans industrial, manufacturing, infrastructure, transportation, and grid-scale storage. With patented technology and proprietary software, ON.energy develops projects worldwide that set new benchmarks for resilience.
