AWS Data Engineer

About the Role

This is a fully hands-on, individual contributor Data Engineering role embedded within a data infrastructure initiative at a large enterprise. You will own the full lifecycle of AWS-based data pipelines, from ingesting and streaming source data through to delivering clean, consumer-ready datasets for downstream use.

What You'll Do

• Stream and process source data from mainframe and legacy systems, loading it into AWS S3.

• Design and implement ETL/ELT workflows using AWS Glue.

• Perform data reconciliation, validation, and quality checks to ensure data accuracy and reliability.

• Curate and transform data, provisioning clean datasets through AWS Aurora and RDS (PostgreSQL).

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

• Automate workflows and manage deployments using GitHub and GitHub Actions-based 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 building and delivering data pipelines, ETL/ELT workflows, or data platform solutions.

• Hands-on production experience with AWS Glue for designing and implementing ETL/ELT workflows.

• Strong working knowledge of AWS cloud services including S3, RDS/Aurora, and Glue.

• 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 improve productivity.

• Ability to take ownership of 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 role pays $65/hr on a W2 basis.

Location

This role is 100% remote.