---
title: "AWS Data Engineer"
company: "Clera"
company_url: "https://www.remjobs.works/companies/clera"
url: "https://www.remjobs.works/job/clera-aws-data-engineer-5ce94a05-5c5e-4997-99b6-add1c7a1175f"
apply_url: "https://jobs.ashbyhq.com/clera/8414be72-3850-49c3-bff7-6e9e5746092c"
workplace: remote
location: "remote"
employment_type: full-time
seniority: mid
role: data
region: other
skills: ["aws", "kafka", "mongodb", "postgres"]
date_posted: 2026-09-14T17:25:09.675Z
first_seen_by_remjobs: 2026-09-15T16:29:36.640Z
---

# AWS Data Engineer

**Clera** · remote

Apply: https://jobs.ashbyhq.com/clera/8414be72-3850-49c3-bff7-6e9e5746092c

## About Clera

Stop applying to startups. Start getting introduced. Clera connects you directly with hiring managers at the companies you want to work for.

## About the role

##### 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.

---

Source: Clera's own career page, read by RemJobs. Canonical HTML version: https://www.remjobs.works/job/clera-aws-data-engineer-5ce94a05-5c5e-4997-99b6-add1c7a1175f