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ON.energy

Senior AWS Data Engineer

Reposted 6 Days Ago
Remote
Hiring Remotely in Chile
Senior level
Remote
Hiring Remotely in Chile
Senior level
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.
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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.

Agency Notice: ON.energy does not accept unsolicited resumes from staffing agencies, search firms, or third-party recruiters. Resumes submitted without a fully executed Master Services Agreement (MSA) and a written request from an authorized member of our Talent Acquisition team will be considered the property of ON.energy. No placement fees or compensation will be paid for unsolicited candidate submissions.

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