Senior Data Engineer

September 12, 2026

Remote

Senior

Description

This role is a hands‑on Data Engineering position focused on building and operating AWS‑based data pipelines for a large enterprise. You will own the full lifecycle of data ingestion, transformation and delivery, leveraging AI tools and CI/CD automation. The position is fully remote and compensated at an hourly rate.

Responsibilities

Design and implement ETL/ELT workflows using AWS Glue
Stream and process source data from mainframe and legacy systems into AWS S3
Perform data reconciliation, validation and quality checks to ensure accuracy
Curate and transform data, provisioning clean datasets through AWS Aurora and RDS
Manage S3 storage including retention policies, archival strategies and lifecycle management
Automate workflows and manage deployments using GitHub Actions based CI/CD pipelines
Leverage AI tools to improve engineering productivity and automate data workflows

Requirements

Minimum five years professional experience building data pipelines and ETL/ELT workflows
Hands‑on production experience with AWS Glue for designing ETL processes
Strong working knowledge of AWS services including S3, RDS/Aurora and Glue
Demonstrated experience building data streaming pipelines using Kafka
Proficiency with GitHub repository management and GitHub Actions for CI/CD automation
Experience leveraging AI tools to automate workflows and improve productivity
Ability to own deliverables and drive work to completion with minimal oversight
Familiarity with mainframe data sources or legacy system integration is a plus

Conditions

Fully remote work arrangement with 100% remote location
Hourly compensation of $65 on a W2 basis
No explicit benefits or relocation assistance mentioned

AWSGlueKafkaGitHubCI/CDAI toolsS3RDSAuroradata engineering

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Senior Data Engineer

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