AWS Data Engineer

On.Energy; Buenos Aires; Presencial; ARS 181.190.000 - 271.784.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical, dental, and vision insurance

401(k) with company match

Paid time off and holidays

Descripción de la vacante

ON.energy is building the power infrastructure that enables the AI era. You’ll join a growing data team as the fourth engineer, scaling our AWS-based data lakehouse and handling high-volume time-series data from industrial sources to deliver analytics-ready datasets to end users.

No prior energy-domain experience is required; we’ll support you as you learn the domain while implementing robust ETL/ELT pipelines, governance, and scalable workflows using Apache Iceberg, Glue, Athena, Lambda, and S3.

Formación

• Bachelor’s degree in Computer Science, Computer Engineering, or 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 collaboration with English-speaking teams and documentation.
• Experience with open table formats, preferably Apache Iceberg, and transitioning from Delta Lake or Hudi is supported.

Responsabilidades

• Build and maintain scalable ETL/ELT pipelines for batch and real-time processing.
• Evolve the Data Lakehouse with optimized storage, performance, and data consistency.
• Manage orchestration workflows with complex dependencies and error handling.
• Deliver production-ready, analytics-ready datasets and engage with end users to understand data consumption.
• Implement data governance, security controls, and audit policies across AWS.

Educación

Bachelor’s degree in Computer Science, Computer Engineering, or closely related discipline

Herramientas

Apache Iceberg

AWS Glue

AWS Athena

AWS Lambda

AWS S3

Terraform

CloudFormation

Descripción del empleo

ON.energyis 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. ON recently announced a 5GW partnership, with 3GW currently under construction across multiple hyperscale data center campuses. With patented technology and proprietary software,ON.energydevelops projects worldwide that set new benchmarks for resilience.

Role Summary

ON.energy is building the power infrastructure that makes the AI era possible. Our systems are 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.You’ll be the fourth engineer on a growing data team, helping scale our AWS-based data lakehouse and working primarily with industrial data sources and high-volume time-series data. No prior experience in the energy sector is required, we’ll support you in learning the domain.

Key Responsibilities

• Build 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, cost, and data consistency.
• Manage orchestration workflows with complex dependencies and error handling.
• Deliver production-ready, analytics-optimized datasets, engaging directly with end users to understand how they consume data.
• Implement data governance, security controls, and audit policies across the AWS ecosystem.
• Build monitoring, alerting, and data quality testing for platform reliability.

Key Requirements

• 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.
• Production experience with open table formats, preferably Apache Iceberg (table design, partitioning, schema evolution). Coming from Delta Lake or Hudi? We’ll support you in transitioning.
• Core AWS data services: Glue, Athena, Lambda, and S3.
• Designing and maintaining 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 in a lakehouse context — medallion architectures, incremental loads, deduplication, historical backfills.
• Infrastructure as Code: Terraform or CloudFormation.

Preferred Experience

Step Functions · Kinesis · Lake Formation · DynamoDB · custom ETL with boto3, pyiceberg, pyarrow · CI/CD for Glue or Lambda · time-series and IoT/telemetry data at scale

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 [e-mail]
• Benefits vary by role and location and are subject to change.