greenhouse
Data Warehouse Software Engineer III
Babel Street
Somerville, USA
Full-time
Senior · 4+ years experience
Hybrid
USD 120000-135000 yearly / year
Discovered 2 weeks ago
Google Cloud Platform (GCP)Google BigQueryApache AirflowCloud ComposerPythonCloud Functions
Free
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Google Cloud Platform (GCP)Google BigQueryApache Airflow
Key Skills for This Role
Google Cloud Platform (GCP)Google BigQueryApache AirflowCloud ComposerPythonCloud Functions
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Key Responsibilities
- Data Warehouse & Pipeline Engineering: Architect, build, and maintain production-grade ELT/ETL data pipelines that stream and batch high-volume, complex datasets into Google BigQuery.
- Airflow Management & Platform Upgrades: Manage, monitor, and upgrade our Apache Airflow / Cloud Composer platform. Write clean, modular, and maintainable DAGs in Python, implement custom operators/hooks, and optimize cluster performance.
- GCP Architecture & Optimization: Maintain and optimize core GCP data services (BigQuery, Cloud Storage, Cloud Functions/Run, Pub/Sub, IAM). Implement advanced BigQuery performance tuning (partitioning, clustering, slot management, and query cost control).
- Python Engineering & Integrations: Develop high-performance Python scripts, API connectors, and automation tools for data extraction, schema validation, and third-party data integrations.
- Data Quality & Integrity: Enforce strict data quality frameworks, monitoring, and automated alerting across all ingestion pipelines to ensure zero data loss and minimal latency.
- Technical Leadership & CI/CD: Maintain infrastructure-as-code and CI/CD deployment pipelines for data workloads using Git. Assist in architectural reviews and mentor junior engineers on data warehousing best practices.
Job Requirements
- U.S. Citizenship: Must be a U.S. Citizen due to federal government contract requirements.
- Software Engineering Experience: 4–7+ years of professional software development experience, with at least 3+ years focused heavily on data warehousing, cloud data pipelines, and data platform operations.
- Advanced Python Mastery: Production-grade Python development skills for data processing, custom pipeline tooling, and API integrations.
- Airflow Platform Operations: Hands-on experience with Apache Airflow (Cloud Composer preferred), including DAG architecture, troubleshooting, environment configuration, and platform version upgrades.
- GCP Ecosystem Expertise: Deep experience with the Google Cloud analytics suite—specifically BigQuery, Cloud Storage (GCS), Cloud Composer, Pub/Sub, and Cloud Functions/Run.
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