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Clera

AWS Data Engineer

Cleraremote1 day ago
Data & AI
Data Engineering
Mid-Level
Remote
full-time
$65/hour
Location
remote
Type
full-time
Level
Mid-Level
Work mode
remote
Salary
$65/hour
Summary

AWS Data Engineer needed for a fully remote contract role within the healthcare industry to build and manage ETL workflows, data streaming pipelines, and AWS data infrastructure. Requires 5+ years of experience with AWS Glue, S3, Kafka, and PostgreSQL, automating deployments with GitHub Actions.


About the Role

This is a fully hands-on individual contributor role on a data engineering team within the healthcare industry. You will own the end-to-end movement and transformation of data, from ingesting mainframe source streams into AWS through to provisioning clean, consumer-ready datasets. Your work directly enables downstream analytics and operational systems at scale.

What You'll Do

  • Stream and process mainframe source data into AWS S3 using modern data pipeline tooling.

  • Design and implement ETL/ELT workflows using AWS Glue to curate and transform data.

  • Perform data reconciliation, validation, and quality checks across ingested datasets.

  • Provision clean, consumer-ready datasets through AWS Aurora and RDS PostgreSQL databases.

  • Manage S3 storage including data retention policies, archival strategies, and lifecycle management.

  • Automate and deploy workflows using GitHub Actions and CI/CD pipelines.

  • Leverage AI tools to improve engineering productivity and automate data workflows.

What We're Looking For

  • 5 or more years of professional Data Engineering experience delivering data pipelines, ETL/ELT workflows, or data platform solutions.

  • Hands-on production experience with AWS Glue for ETL/ELT design and implementation.

  • Strong working knowledge of AWS S3, RDS, and Aurora in production environments.

  • Demonstrated experience building and maintaining data streaming pipelines using Kafka.

  • Experience implementing data reconciliation, data quality checks, and validation processes.

  • Proficiency with GitHub repository management and GitHub Actions for CI/CD automation.

  • Experience using AI tools to automate workflows and boost engineering productivity.

  • Ability to own deliverables and drive work to completion with minimal oversight.

  • Experience with mainframe data sources or legacy system integration is a plus.

  • Familiarity with MongoDB or other NoSQL databases is a plus.

Compensation & Benefits

This is a W2 contract engagement. The bill rate is $65/hour.

Location

This role is 100% remote. Candidates based anywhere in the United States are welcome to apply.

AWS Data Engineer

Clera · remote

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