Remote AWS Data Engineer - Streaming, ETL & CI/CD

Getclera

United States

Remote

USD 74,000 - 105,000

Full time

11 days ago

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Job summary

CVS Health is seeking a Data Engineer for a 100% remote role. You will lead hands-on data engineering tasks, streaming mainframe-derived data into S3, and curating datasets for analytics using AWS Aurora/RDS. You will implement reconciliation, data quality checks, and automated CI/CD pipelines with GitHub Actions.

Strong AWS and Kafka experience are required, with NoSQL familiarity a plus. The ideal candidate will collaborate across teams, own deliverables, and leverage AI tools to boost

Qualifications

  • 5+ years of Data Engineering experience.
  • Collaborate effectively with the team and drive deliverables to completion.
  • Hands-on AWS cloud experience.
  • Data streaming expertise with Kafka.
  • ETL/ELT experience using AWS Glue.
  • Data reconciliation, quality, and curation.
  • Experience with AWS S3 storage and relational DBs (RDS/Aurora).
  • GitHub repository management and GitHub Actions CI/CD.
  • Experience using AI tools to automate workflows.
  • MongoDB or other NoSQL experience preferred but not required.

Responsibilities

  • 100% hands-on contributor role.
  • Stream and process source data into AWS S3 and curate datasets.
  • Perform reconciliation and validation of data assets.
  • Automate workflows and deployments via GitHub CI/CD.

Skills

AWS cloud
Kafka data streaming
Data engineering
GitHub Actions CI/CD
NoSQL (MongoDB)

Tools

GitHub Actions
AWS Glue
AWS S3
Aurora PostgreSQL
Kafka
MongoDB

Job description

CVS Health is seeking a Data Engineer for a 100% remote role. You will lead hands-on data engineering tasks, streaming mainframe-derived data into S3, and curating datasets for analytics using AWS Aurora/RDS. You will implement reconciliation, data quality checks, and automated CI/CD pipelines with GitHub Actions.

Strong AWS and Kafka experience are required, with NoSQL familiarity a plus. The ideal candidate will collaborate across teams, own deliverables, and leverage AI tools to boost

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