远程数据工程师（中级）

We are moving beyond basic reporting to building a world-class data product. As a Data Engineer on our Data Platform team, you aren't just 'running scripts', you are the architect of your own domain. You will take ownership of end-to-end data streams in BigQuery, ensuring our business makes decisions based on high-integrity, production-grade pipelines. 🛠 What You’ll Do (The Impact) Own the Pipeline: Build and scale ELT flows from raw ingestion to clean, actionable data marts. Master the Stack: Use dbt, Airflow, and BigQuery to solve complex modeling problems with high technical craft. Ensure Integrity: Implement automated testing and observability to catch issues before the business does. Collaborate & Grow: Work directly with Product and Analytics teams while being mentored by Senior and Staff engineers to level up your architectural skills. ✅ Who You Are The Professional: You have 3–5 years of experience in data infrastructure and a deep respect for 'clean code' and documentation. SQL & Python Expert: You don't just write queries; you optimize them for cost and performance. You use Python to build custom operators and API integrations. Tooling Enthusiast: You have production-scale experience with dbt and Apache Airflow (or similar orchestrators). GCP Native: You are comfortable navigating BigQuery, Cloud Storage, and Cloud Composer. Problem Solver: You thrive in growth-stage environments where you can turn ambiguity into reliable systems. ✨ Bonus Points For: Experience with Terraform or Infrastructure-as-Code. Familiarity with streaming data (Pub/Sub, Kafka). Google Cloud Professional Data Engineer certification. 💎 Why Join Us? Modern Stack: Work with a best-in-class GCP/BigQuery setup—no legacy debt to hold you back. Clear Career Path: This role is designed to bridge the gap between execution and Senior/Staff level ownership. Engineering Culture: We value 'craft' over 'crunch'. We do on-call rotations fairly and prioritize postmortems over blame. Full Package: Competitive salary, equity, and comprehensive benefits.

Must be a US citizen or Green Card Holder. 3–5 years of experience in data infrastructure. Deep respect for 'clean code' and documentation. SQL & Python Expert: You don't just write queries; you optimize them for cost and performance. You use Python to build custom operators and API integrations. Tooling Enthusiast: Production-scale experience with dbt and Apache Airflow (or similar orchestrators). GCP Native: Comfortable navigating BigQuery, Cloud Storage, and Cloud Composer. Problem Solver: Thrive in growth-stage environments where you can turn ambiguity into reliable systems.

Competitive salary, equity, and comprehensive benefits. Modern Stack: Work with a best-in-class GCP/BigQuery setup—no legacy debt to hold you back. Clear Career Path: This role is designed to bridge the gap between execution and Senior/Staff level ownership. Engineering Culture: We value 'craft' over 'crunch'. We do on-call rotations fairly and prioritize postmortems over blame.

Odyssey Information Services is a tech company focused on data infrastructure and analytics solutions.