AWS Data Engineer

Getclera; United States; Remote; USD 74,000 - 105,000; Full time

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

Client: CVS Health

Job: Data Engineer

Location: 100% remote
Bill Rate/Salary: 65/Hr w2
Reason for Opening/ Day-to-day: This is a 100% hands-on individual contributor role focused on AWS-based data engineering. The engineer will help stream and process mainframe source data (mainframe skillset is not required), load it into S3, perform reconciliation and validation activities, curate and transform data, and provision clean consumer-ready datasets through AWS Aurora/RDS database. The role will also need to know automating workflows and do deployments using GitHub and CI/CD pipelines.

Key Requirements

• 5+ years of Data Engineering experience
• Must collaborate effectively with the team, take ownership of deliverables, and drive work through completion with minimal oversight.
• Hands-on AWS cloud experience
• Data streaming expertise in Kafka
• ETL/ELT experience - AWS Glue
• Data reconciliation, data quality, and data curation experience
• Experience with AWS S3 storage including data retention-archival and relational databases - such as AWS RDS/Aurora PostgreSQL
• GitHub repository management and GitHub Actions-based CI/CD
• Experience leveraging AI tools to improve productivity and automate data workflows
• Experience with MongoDB or other NoSQL databases is preferred, but not required