AWS Data Engineer
Skills
About the role
This is a fully remote, individual-contributor data engineering role building AWS-based pipelines for a large enterprise's data infrastructure initiative. It suits an experienced data engineer comfortable owning a pipeline end to end, from streaming legacy source data through to delivering clean datasets for downstream teams. The work centers on AWS Glue, S3 and Aurora/RDS PostgreSQL, with a strong emphasis on data quality and automation.
What you’ll do
- Stream and process data from mainframe and legacy systems into AWS S3
- Design and build ETL/ELT workflows using AWS Glue
- Run data reconciliation, validation and quality checks
- Curate and transform data, provisioning clean datasets through Aurora and RDS PostgreSQL
- Manage S3 storage, retention, archival and lifecycle policies
- Automate workflows and deployments using GitHub Actions CI/CD
- Use AI tools to improve engineering productivity and automate data workflows
What they’re looking for
- 5+ years of professional data engineering experience delivering pipelines, ETL/ELT or platform solutions
- Hands-on production experience with AWS Glue
- Strong knowledge of AWS services including S3, RDS/Aurora and Glue
- Experience building and maintaining Kafka streaming pipelines
- Experience with data reconciliation, quality checks and validation
- Proficiency with GitHub and GitHub Actions for CI/CD
- Experience using AI tools to automate workflows
- Ability to own deliverables with minimal oversight
Nice to have
- Experience with mainframe or legacy system integration
- Familiarity with MongoDB or other NoSQL databases
What’s on offer
- $65/hr on a W2 basis
- Fully remote
Questions about this role
Is this role remote?
Yes, the posting states it is 100% remote.
How much does it pay?
The role pays $65/hr on a W2 basis.
How many years of experience do I need?
5 or more years of professional data engineering experience.
Related roles
Lead Data Engineer – Databricks & AI | Remote Canada
Lead data engineer role for a financial services client, requiring 10+ years of Databricks expertise and experience collaborating with AI/ML teams to build scalable data infrastructure.
Data Analyst - Data Quality & Databricks
A data analyst role centered on data quality, profiling and reconciliation using Databricks, SQL and PySpark, open across Bangalore, Chennai and Pune for candidates with 7-11 years of experience.
Data Engineer, Data Platform & ML (Remote)
A Poland-remote Data Engineer role building a cloud-based corporate data warehouse for business analytics and machine learning. It suits a data engineer with at least three years of experience in Python, SQL, warehouse design, and modern data tooling.
Coforge - Senior Data Engineer - AWS
Senior AWS data engineering role available in Hyderabad, Pune, or Greater Noida for an engineer with five to ten years of experience. You’ll build and operate end-to-end pipelines using Python, PySpark, SQL, AWS services, Amazon MWAA, and Terraform.
Data Engineer, Data Platform & Machine Learning (Remote)
A Serbia-remote data engineering role building Tabby's corporate data warehouse, data integrations, and pipelines. It is intended for a data engineer with warehouse design, Python, SQL, and cloud data-stack experience.
Senior Data Engineer, Data Platform & ML (Remote)
A remote senior data engineering role in Yerevan focused on feature-store development, data services, streaming, and production data pipelines. It is suited to an engineer with scalable systems experience across data, machine learning, or backend development.