AWS

Data Warehouse Team
Hybrid

Build the cloud data platform behind enterprise-scale telecommunications analytics — on a team small enough that your code actually ships and your decisions actually count.

We're hiring a hands-on Data Engineer who loves untangling messy data problems, building pipelines people can rely on, and working shoulder-to-shoulder with the teams who depend on them. You won't be a cog in a 40-person org chart. You'll own real surface area, shape technical direction, and see your work in production fast.

Our stack is modern and fully AWS-native: S3, Athena, Redshift, Glue, Lambda, and Terraform, with SQL and Python as your daily drivers.

What You'll Do

Design, build, and optimize ETL/ELT pipelines across our AWS environment
Ship scalable reporting and analytics solutions on cloud-native tooling
Partner directly with stakeholders to turn fuzzy requirements into clean data products
Write SQL and Python that's reliable, readable, and built to last
Evolve our data warehouse architecture and data models
Manage infrastructure the right way — Terraform and IaC, not click-ops
Bring ideas to solution design and continuous-improvement conversations
Diagnose data-quality issues and pipeline failures, and keep production stable

What You Bring

5+ years as a Data Engineer, ETL Developer, or similar
Strong, daily-use SQL and Python for data processing and pipeline work
Hands-on experience with AWS data services (S3, Athena, Redshift, Glue)
A track record building and maintaining ETL/ELT pipelines
Genuine communication skills — you can hold your own with cross-functional stakeholders
Comfort contributing to technical analysis and solution discussions
Happy with a hybrid setup

Nice to have

Terraform / Infrastructure as Code
Cloud data warehouses (Redshift, Snowflake, or BigQuery)
CI/CD practices
Agile team experience

Why you'll want in

Modern tooling, no legacy baggage — a clean AWS-native stack
Real ownership — contribute directly to technical decisions and platform improvements
Scale that matters — enterprise-grade telecom and analytics platforms
A lean, senior team — work closely with experienced technical leadership and grow fast

Sound like your kind of problem We'd love to talk.

Data Warehouse Engineer

Snowflake Data Warehouse Engineer