AWS Data Engineer at ON.energy
Argentina
<div class="content-intro"><p>ON.energy<span class="Apple-converted-space"> </span>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. ON recently announced a 5GW partnership, with 3GW currently under construction across multiple hyperscale data center campuses. With patented technology and proprietary software,<span class="Apple-converted-space"> </span>ON.energy<span class="Apple-converted-space"> </span>develops projects worldwide that set new benchmarks for resilience.</p></div><h3>Role Summary</h3> <p>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.</p> <p> </p> <h3>Key Responsibilities</h3> <ul> <li>Build 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, cost, and data consistency.</li> <li>Manage orchestration workflows with complex dependencies and error handling.</li> <li>Deliver production-ready, analytics-optimized datasets, engaging directly with end users to understand how they consume data.</li> <li>Implement data governance, security controls, and audit policies across the AWS ecosystem.</li> <li>Build monitoring, alerting, and data quality testing for platform reliability.</li> </ul> <p> </p> <h3>Key Requirements</h3> <ul> <li>Bachelor’s degree in Computer Science, Computer Engineering, or a closely related discipline.</li> <li>3+ years of hands-on Data Engineering on AWS, with real exposure to modern data lakehouse architectures.</li> <li>English at B2 or above. Daily work with English-speaking teams and written documentation.</li> <li>Production experience with <strong>open table formats, preferably Apache Iceberg</strong> (table design, partitioning, schema evolution). Coming from Delta Lake or Hudi? We’ll support you in transitioning.</li> <li>Core AWS data services: <strong>Glue, Athena, Lambda, and S3</strong>.</li> <li>Designing and maintaining <strong>ETL/ELT pipelines</strong> for batch and streaming workloads.</li> <li><strong>Python (PySpark / Python Shell)</strong> and <strong>advanced SQL</strong> (window functions, CTEs, execution plan tuning).</li> <li><strong>Data modeling for analytical workloads</strong> in a lakehouse context — medallion architectures, incremental loads, deduplication, historical backfills.</li> <li><strong>Infrastructure as Code:</strong> Terraform or CloudFormation.</li> </ul> <p>Preferred Experience</p> <p>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</p> <p> </p> <p class="p1">#LI-AD1</p><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 </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:recruitment@onenergystorage.com">recruitment@onenergystorage.com</a></li> <li>Benefits vary by role and location and are subject to change.</li> </ul> <p><strong data-start="453" data-end="471">Agency Notice:</strong><span class="Apple-converted-space"> </span>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.</p></div>
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