Mid-Level Data Engineer

New

GoFastiData engineering

Based in Latin America, available to work remotely.ContractMiddle

Salary3,000 - 4,000 USD per month

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Job Details

Languages: English-fluent; Strong English
Required Skills: AWSNode.jsPythonSQLSnowflakeTypeScriptAirflowData engineering

Have mid-level to senior data engineering experience owning production data pipeline design end to end as an autonomous individual contributor.
Design and build production ingestion pipelines from APIs, files, and shared-data sources.
Use a workflow orchestrator such as Airflow, Dagster, or Step Functions.
Have production experience with a cloud data warehouse; Snowflake is preferred.
Have strong SQL skills.
Have production experience with Python, preferred, or Node.js/TypeScript.
Have experience with AWS or another enterprise cloud platform.
Use agentic AI coding tools daily and have experience scaling shared AI workflows across a team and into the development lifecycle, including CI/CD.
Have strong English and communication skills.
Experience with dbt, preparing data for AI/LLM use, infrastructure as code such as Terraform, or energy, utilities, or sustainability data is a plus.

Work with product teams to define and execute technical criteria.
Architect and maintain data ingestion pipelines for application and analytics use.
Design layered, well-modeled tables and clean schemas that make raw data analytics-ready.
Onboard client data from sources such as Databricks via Delta Sharing and integrate it with existing services and workflows.
Improve pipeline reliability with data quality tests, monitoring, safe reprocessing, and schema change handling.
Build a documented and tested data foundation for the application, analytics, and future AI use cases.

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