Senior AWS Data Engineer at ON.energy

<div class="content-intro"><p>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.</p></div><p>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.</p> <h4 data-section-id="80y6fp" data-start="1941" data-end="1988"><strong>Responsibilities Will Include:&nbsp;&nbsp;</strong></h4> <ul data-start="1990" data-end="2790"> <li>Engage directly with end users to understand how they consume data, and design solutions that serve their needs.</li> <li>Design, develop, and maintain scalable ETL/ELT pipelines for batch and real-time processing, including high-frequency time-series ingestion.</li> <li>Evolve the Data Lakehouse—optimizing storage, performance, and data consistency.</li> <li>Manage orchestration workflows with complex dependencies and error handling.</li> <li>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.</li> <li>Optimize performance and cost (FinOps); identify and resolve technical bottlenecks.</li> <li>Partner with the Data Analyst to deliver production-ready, analytics-optimized datasets.</li> <li>Build monitoring, alerting, and data quality testing for platform reliability.</li> </ul> <p><strong>Requirements:</strong></p> <ul data-start="3080" data-end="3286"> <li>Bachelor’s degree in Computer Science, Computer Engineering, or a closely related discipline is required.</li> <li>At a minimum, 5+ years of experience in Data Engineering, Analytics Engineering, or related roles.</li> <li>Deep hands-on experience with core AWS data services: Glue, Athena, Step Functions, Lambda, Kinesis, and Lake Formation.</li> <li>Hands-on experience with Apache Iceberg (required).</li> <li>Expert proficiency in Python (PySpark / Python Shell) and advanced SQL (window functions, CTEs, execution plan tuning).</li> <li>Solid grasp of ETL/ELT tooling and dimensional modeling best practices (Kimball).</li> <li>Experience preparing data architectures for visualization tools and operational/management reporting.</li> <li>Practical experience with NoSQL engines (e.g., DynamoDB) and relational SQL databases.</li> <li>Infrastructure as Code: Terraform or AWS CloudFormation.</li> </ul> <p><strong>Preferred Experience:</strong></p> <ul> <li>Apache Airflow (MWAA experience preferred) or native AWS orchestration.</li> <li>Familiarity with dbt, Airbyte, or Fivetran.</li> <li>Experience automating CI/CD for Glue jobs or Lambda deployments.</li> </ul> <p><strong>Soft Skills:</strong></p> <ul> <li>Senior peer mindset—leads through code reviews and mentorship, not hierarchy.</li> <li>Pragmatic decision-maker who picks the right tool for cost, efficiency, and project needs.</li> <li>Strong ownership of end-to-end data quality and system availability.</li> <li>Clear communicator who can translate business needs into technical solutions.&nbsp;</li> </ul><div class="content-conclusion"><hr> <p><strong>For US-based roles - What you’ll get:</strong></p> <ul> <li>Competitive salary + annual performance-based bonus eligibility</li> <li>Medical, dental, and vision insurance</li> <li>401(k) with company match</li> <li>Paid time off and company holidays&nbsp;</li> </ul> <p><strong>For Mexico-based roles - What you’ll get:</strong></p> <ul> <li>Competitive salary + annual performance bonus eligibility</li> <li>Christmas Bonus (Aguinaldo): 30 days</li> <li>Major medical expenses and life insurance</li> <li>Paid time off and holidays (per local policy)</li> </ul> <p><strong>For all roles:</strong></p> <ul> <li>Professional development and growth opportunities</li> <li>Opportunity to grow with a mission-driven team shaping the future of clean energy</li> <li>Equal Opportunity: ON.energy is committed to equal employment opportunity and to maintaining a work environment free of harassment, discrimination, or retaliation.</li> <li>Accommodations: If you need an accommodation during the application process, email <a href="mailto:[email protected]">[email protected]</a></li> <li>Benefits vary by role and location and are subject to change.</li> </ul></div>