AWS Data Engineer

About the role

ON.energy builds the power infrastructure behind AI-era data centers, with systems deployed across 2.5 GW of campuses and certified for grid-safe operation. As the fourth engineer on a growing data team, you will help scale its AWS-based data lakehouse, working mainly with industrial data sources and high-volume time-series data. No prior energy-sector experience is required.

Key responsibilities

• Build and maintain scalable ETL/ELT pipelines for batch and real-time processing, including high-frequency time-series ingestion.
• Evolving the data lakehouse: optimizing storage, performance, cost and data consistency.
• Manage orchestration workflows with complex dependencies and error handling.
• Deliver production-ready, analytics-optimized datasets and engage directly with end users about their data consumption.
• Implement data governance, security controls and audit policies across AWS.
• Build monitoring, alerting and data quality testing for platform reliability.

Required profile

• Bachelor's degree in Computer Science, Computer Engineering or a closely related discipline.
• 3+ years of hands-on data engineering on AWS, with real exposure to modern data lakehouse architectures.
• English at B2 or above; daily work with English-speaking teams and written documentation.
• Preferred: experience with time-series and IoT/telemetry data at scale.

Required skills

• Production experience with open table formats, preferably Apache Iceberg (table design, partitioning, schema evolution); Delta Lake or Hudi experience is supported.
• Core AWS services: Glue, Athena, Lambda and S3.
• ETL/ELT pipelines for batch and streaming workloads.
• Python (PySpark / Python shell) and advanced SQL (window functions, CTEs, execution plan tuning).
• Data modeling for analytical workloads: medallion architectures, incremental loads, deduplication, historical backfills.
• Infrastructure as Code: Terraform or CloudFormation.
• Preferred: Step Functions, Kinesis, Lake Formation, DynamoDB, custom ETL with boto3/pyiceberg/pyarrow, CI/CD for Glue or Lambda.

What we offer

• US: competitive salary, annual performance-based bonus, medical/dental/vision insurance, 401(k) with company match, paid time off and company holidays.
• Mexico: competitive salary, annual performance bonus, Christmas bonus (Aguinaldo), major medical and life insurance, paid time off and holidays per local policy.
• Professional development and growth opportunities.