AWS Data Engineer
New
C
CleraHealthcare
Fully remote (US)Full-TimeMiddle
Salary65 USD per hour
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Job Details
- Experience
- 5+ years
- Required Skills
- PostgreSQLAmazon RDSETLKafkaCI/CDGitHub Actions
Requirements
- 5+ years of professional Data Engineering experience delivering data pipelines, ETL/ELT workflows, or data platform solutions.
- Hands-on production experience with AWS services including S3, Glue, and RDS/Aurora.
- Proven experience building and maintaining real-time data streaming pipelines using Kafka.
- Strong background in data reconciliation, data quality checks, and validation processes.
- Experience with AWS RDS or Aurora PostgreSQL for data provisioning and querying.
- Proficiency with GitHub repository management and GitHub Actions for CI/CD automation.
- Experience using AI tools to automate workflows and boost productivity.
- Experience with MongoDB or other NoSQL databases is a plus.
- Familiarity with mainframe or legacy system data integration is a plus.
Responsibilities
- Stream and process mainframe source data into AWS S3, handling ingestion, reconciliation, and validation workflows.
- Design and implement ETL/ELT pipelines using AWS Glue to curate and transform raw data into reliable, queryable datasets.
- Provision clean, consumer-ready data through AWS Aurora/RDS PostgreSQL relational databases.
- Manage S3 storage including data retention policies, archival strategies, and lifecycle management.
- Automate deployments and orchestrate workflows using GitHub Actions and CI/CD pipelines.
- Leverage AI tools to improve engineering productivity and automate data workflow processes.
- Take ownership of deliverables and drive work to completion with minimal oversight.
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