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Satellite Office

Data Warehouse Engineer

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  • Posted 9 hours ago
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Job Description

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.

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About Company

Job ID: 148965339

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