Sr. Data Platform Engineer - GP, Remote: Colombia - Costa Rica, Fulltime

• This position is open to candidates located in Colombia or Costa Rica only -

We are looking for a Senior Data Platform Engineer to work with an AI-enabled platform supports operations, tracking and decision-making to optimize large-scale renewable and traditional energy portfolios. We're looking for an autonomous data engineer tostrengthen our data foundation through good modeling, clean schemas, reliability and automation.

Responsibilities

• Work closely with product teams to help define and execute technical criteria

• Architect and maintain robust data ingestion pipelines that feed both our application and analytics

• Design well-modeled, layered tables with clean schemas that turn raw data into analytics-ready data

• Help onboard client data from a variety of sources, such as Databricks via Delta Sharing, and integrate it with our existing services and workflows

• Make pipelines reliable and automated: data quality tests, monitoring, safe reprocessing and schema change handling

• Build a documented, well-tested data foundation that serves the app, analytics and future AI use cases

Technical requirements

• 5+ years of data engineering experience owning the design of production data pipelines end to end, workingas an autonomous IC.

• Designing and building production ingestion pipelines from APIs, files and shared-data sources, using a workflow orchestrator (any tool, e.g. Airflow, Dagster or Step Functions).

• Production experience with a cloud data warehouse (Snowflake preferred).

• Strong SQL, plus production experience in Python (preferred) or Node.js/TypeScript.

• AWS or another enterprise cloud platform.

• AI-native development: daily use of agentic AI coding tools, and experience scaling shared AI workflows across a team and into the development lifecycle, including CI/CD.

• Strong English and communication skills.

Bonus Skills

• dbt

• Preparing data for AI/LLM use (e.g. semantic layers, metadata, retrieval-ready datasets)

• Infrastructure as code (e.g. Terraform)

• Exposure to energy, utilities or sustainability data