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Clera

AWS Data Engineer

Clera $135K/yr

Technology, Information and Internet · 2-10 employees

20 h ago
Remote data-engineer Senior (5-10 yrs) Full-time
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About the role

You will own the full lifecycle of AWS-based data pipelines, from ingesting source data to delivering clean, consumer-ready datasets. Responsibilities include designing ETL/ELT workflows, managing S3 storage, and automating deployments using CI/CD pipelines.

What they look for

AWS Glue Data Engineering ETL/ELT S3 Kafka PostgreSQL GitHub Actions CI/CD Data Pipelines Data Reconciliation Data Quality Mainframe Integration NoSQL MongoDB AI Tools

Requirements

Candidates must have 5 or more years of professional data engineering experience with a strong focus on AWS services like Glue, S3, and RDS. Proficiency in building data streaming pipelines with Kafka and managing CI/CD workflows via GitHub is essential.

Full description

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.

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