Time since we first saw it
Day 9
Similar jobs usually come down between day 6 and day 54.
From 11,032 similar postings that came down. Coming down is not always a hire.
AWS Data Engineer
Argentina; Mexico City, Mexico City, Mexico
Actively hiring, first seen by us 9 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingON.energy is building the power infrastructure that makes the AI era possible.
Build and maintain batch and real-time ETL/ELT pipelines, including time-series ingestion
Evolve the data lakehouse for storage, performance, cost, and consistency
Manage orchestration workflows with complex dependencies and error handling
Deliver analytics-ready datasets and work directly with end users on their needs
Implement data governance, security controls, and audit policies on AWS
From the employer’s posting
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.
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.
What you’ll bring
All qualificationsPreferred experience
- 401(k) with company match
Qualification wording
401(k) with company match
Education & alternatives
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.
Posting record
Report an errorActively hiringFirst seen by us 9 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 27, 20269 days ago
- Recorded sightings
- 10
- Last seen by us
- Nov 5, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
ON.energy is hiring
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- Delta Lake
- DynamoDB
- Iceberg
- S3
- Terraform
- boto3
- PySpark
Where the posting names them
- 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.
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
- 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.
- 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.
- 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.
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 #LI-AD1
- Data modeling for analytical workloads in a lakehouse context — medallion architectures, incremental loads, deduplication, historical backfills. - Infrastructure as Code: Terraform or CloudFormation. Preferred Experience
Your next step
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
Has ON.energy posted this job before?
Yes. We’ve followed one other AWS Data Engineer job there since September 2026. It is still up.
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
ON.energy is setting the standard for large load interconnection. ON’s patented AI UPS™ is a medium-voltage UPS that serves as a firewall, protecting the data center from the grid, and the grid from the data center. With multiple gigawatts currently under construction, we are enabling grid-safe data centers.
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
#LI-AD1
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.
- 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.
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Argentina; Mexico City, Mexico City, Mexico
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.