Data Engineer | Careers | REplace

Data Engineer role at REplace, building the data backbone of the M&A intelligence layer for renewable energy.

All open roles Remote · Argentina Data Engineer Type: Full-time Team: Data Engineering Reports to: Data Lead We are looking for a Data Engineer to help us map and structure information about the U.S. electricity market. You will build and maintain ETL pipelines that ingest, normalize, and store data from ISOs/RTOs and other public sources, directly contributing to our core data products and M&A intelligence capabilities. Key responsibilities ETL and pipelines - Build and maintain ETL pipelines to ingest data from ISOs/RTOs (MISO, PJM, ERCOT, SPP, and others) - Parse, normalize, and validate large structured and semi-structured datasets - Automate data extraction from public sources, regulatory filings, and queue publications - Work hands-on with Apache Airflow for pipeline orchestration Data quality - Implement data validation checks and QA processes across pipelines - Detect and resolve data anomalies, duplicates, and inconsistencies - Contribute to monitoring and alerting mechanisms for early issue detection - Maintain documentation of data sources, schemas, and transformation logic Market mapping - Map U.S. electricity market data including interconnection queues, generation assets, and ownership structures - Research and integrate new data sources related to renewable energy projects - Support the expansion of our data products, datasets, and data APIs - Collaborate with product and ops to translate data needs into pipeline requirements Infrastructure - Manage and optimize PostgreSQL databases for large-scale energy data - Work within Azure cloud infrastructure for deployment and storage - Identify and address bottlenecks in data capture and processing workflows - Design performant data models for structured and relational energy datasets What we offer - 100% remote from Argentina, with a team distributed across Argentina and Israel - 2 in-person team gatherings per year with team-building activities - Small, focused team where your impact is visible and your decisions matter - Direct collaboration with the CTO and real input into technical direction - Grow alongside a company at the intersection of technology and the energy transition Required qualifications - 2+ years of hands-on Python development in a data engineering context - Strong experience with PostgreSQL or MySQL and relational data modeling - Proven ability to work with large data volumes and build performant pipelines - High proficiency in English in an English-first technical environment - Proactive, self-driven, and comfortable working autonomously Nice to have - Experience in the energy sector (utilities, renewables, ISOs/RTOs) - Familiarity with Apache Airflow or similar orchestration tools - Experience working with Azure cloud services - Experience with web scraping and data extraction (Playwright, Selenium, etc.) - Familiarity with LLMs for data extraction and normalization Tech stack Python Primary development language PostgreSQL Relational data modeling Apache Airflow Pipeline orchestration Azure Cloud infrastructure LLMs Data extraction and normalization Apply for this role Send us your details and we will be in touch.
REplace
All open roles

Remote · Argentina

Data Engineer

Type: Full-timeTeam: Data EngineeringReports to: Data Lead

We are looking for a Data Engineer to help us map and structure information about the U.S. electricity market. You will build and maintain ETL pipelines that ingest, normalize, and store data from ISOs/RTOs and other public sources, directly contributing to our core data products and M&A intelligence capabilities.

Key responsibilities

ETL and pipelines

  • Build and maintain ETL pipelines to ingest data from ISOs/RTOs (MISO, PJM, ERCOT, SPP, and others)
  • Parse, normalize, and validate large structured and semi-structured datasets
  • Automate data extraction from public sources, regulatory filings, and queue publications
  • Work hands-on with Apache Airflow for pipeline orchestration

Data quality

  • Implement data validation checks and QA processes across pipelines
  • Detect and resolve data anomalies, duplicates, and inconsistencies
  • Contribute to monitoring and alerting mechanisms for early issue detection
  • Maintain documentation of data sources, schemas, and transformation logic

Market mapping

  • Map U.S. electricity market data including interconnection queues, generation assets, and ownership structures
  • Research and integrate new data sources related to renewable energy projects
  • Support the expansion of our data products, datasets, and data APIs
  • Collaborate with product and ops to translate data needs into pipeline requirements

Infrastructure

  • Manage and optimize PostgreSQL databases for large-scale energy data
  • Work within Azure cloud infrastructure for deployment and storage
  • Identify and address bottlenecks in data capture and processing workflows
  • Design performant data models for structured and relational energy datasets

What we offer

  • 100% remote from Argentina, with a team distributed across Argentina and Israel
  • 2 in-person team gatherings per year with team-building activities
  • Small, focused team where your impact is visible and your decisions matter
  • Direct collaboration with the CTO and real input into technical direction
  • Grow alongside a company at the intersection of technology and the energy transition

Required qualifications

  • 2+ years of hands-on Python development in a data engineering context
  • Strong experience with PostgreSQL or MySQL and relational data modeling
  • Proven ability to work with large data volumes and build performant pipelines
  • High proficiency in English in an English-first technical environment
  • Proactive, self-driven, and comfortable working autonomously

Nice to have

  • Experience in the energy sector (utilities, renewables, ISOs/RTOs)
  • Familiarity with Apache Airflow or similar orchestration tools
  • Experience working with Azure cloud services
  • Experience with web scraping and data extraction (Playwright, Selenium, etc.)
  • Familiarity with LLMs for data extraction and normalization

Tech stack

Python
Primary development language
PostgreSQL
Relational data modeling
Apache Airflow
Pipeline orchestration
Azure
Cloud infrastructure
LLMs
Data extraction and normalization

Apply for this role

Send us your details and we will be in touch.