Data Engineer
A fast-moving healthcare technology team is looking for a hands-on Data Engineer who knows how to move, transform, and scale data properly. This role focuses on building reliable ETL pipelines in AWS, using Python and SQL to turn raw data into clean, trusted datasets that power analytics, reporting, and product decisions.This is a high-impact engineering role where you’ll work closely with analytics, product, and engineering teams to build scalable data infrastructure.What You’ll Be Doing
Design, build, and maintain scalable ETL / ELT data pipelines
Ingest data from multiple sources including APIs, databases, files, and streaming platforms
Optimize pipelines for performance, reliability, and cost efficiency
Work directly with stakeholders to translate data requirements into production pipelines
Implement data quality checks, monitoring, and logging
Support analytics, reporting, and downstream data productsTech Stack
Cloud:AWS (S3, Glue, Lambda, Redshift, Athena, EMR)
Languages:Python
Data Tools:Glue, Airflow, dbt, CDK or custom ETL frameworks
Databases:SQL (Redshift, Snowflake, Postgres)What We’re Looking For
Strong experience as a Data Engineer building production pipelines
Solid Python for data processing, orchestration, and automation
Strong SQL and data modeling fundamentals
Experience working in a cloud-first AWS data environment
Proven ability to build and maintain reliable ETL pipelinesDetails
Location:Remote
Rate:Flexible for the right professional
Employment Type : Contract