Data Engineer

I need someone to own our data pipeline work — building and maintaining the ETL processes that keep our analytics and BI dashboards accurate and up to date.

Responsibilities:

Build and maintain ETL pipelines for both structured and unstructured data
Develop and optimize workflows using AWS Glue, Lambda, Step Functions, and S3
Manage our data lake and set up access controls with Lake Formation
Set up efficient querying of large datasets using Athena
Handle event-driven workflows with SQS and EventBridge
Support our compute needs on EC2, including some serverless/containerized work
(Optional) Help with VPC/VPN networking and infrastructure as code (Terraform or CDK)

Qualifications:

Solid background in ETL, data warehousing, and data modeling
Hands-on experience with Glue, Lake Formation, Athena, Step Functions, S3, Lambda, EC2, SQS, and EventBridge
A track record of building pipelines that actually scale
Comfortable troubleshooting messy, complex data workflows
Detail-oriented and a strong communicator, since you'll be working directly with me

Nice to Have

VPC/VPN and AWS networking experience
Terraform, CDK, or CloudFormation
Familiarity with monitoring, logging, and security best practices for pipelines