AWS Data Engineer

Clera • Health Care • ETL/ELT • AWS Glue • 1 day ago
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Salary
$130k per year
Location
In office
Seniority
Senior · 5+ years exp
Employment
Full-Time
Overview
Company
Impact
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Clera

Clera is a San Francisco company that runs an AI recruiting platform positioned as a talent agent rather than a job board, matching engineers and other technical candidates to roles at venture-backed startups. Its system reads a candidate's background and preferences, then represents them to hiring teams at companies funded by firms such as Andreessen Horowitz, Y Combinator, Index Ventures and General Catalyst, compressing the introduction step that traditional headhunting handles manually. The model is aimed at the segment where recruiter fees are highest and candidate supply is thinnest, and the platform handles screening, scheduling and pipeline tracking for both sides of the match.
getclera.com • HQ: San Francisco, United States • HR & Recruiting AI • Recruiting & Staffing • 11-50 employees • Est. 2023

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.

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