Design, build, and maintain scalable ETL/ELT data pipelines and BigQuery data models. Implement Airflow workflows, CI/CD for deployments, ensure data quality and performance, and collaborate with data scientists, analysts, and business teams to deliver reliable analytics-ready data.
We are looking for a skilled Data Engineer with strong experience in building, optimizing, and maintaining scalable data platforms and pipelines. The ideal candidate will work closely with data scientists, analysts, and business teams to ensure reliable, high-quality data delivery across analytics and reporting use cases.
Key Skills & Technologies- Strong programming experience in Python and SQL
- Hands-on experience with Google Cloud Platform (GCP) services
- Expertise in BigQuery for data warehousing, performance tuning, and cost optimization
- Experience with ETL/ELT frameworks and large-scale data pipeline development
- Workflow orchestration using Apache Airflow
- CI/CD implementation for data pipelines using tools like Git, Jenkins, or Cloud Build
- Solid understanding of data modeling, partitioning, and schema design
- Experience with cloud storage, data validation, and monitoring
- Knowledge of containerization (Docker) and basic DevOps practices is a plus
- Design, develop, and maintain scalable and reliable data pipelines
- Build and optimize ETL/ELT processes to ingest data from multiple sources
- Develop and manage data models in BigQuery to support analytics and reporting
- Implement automated workflows and scheduling using Airflow
- Ensure data quality, integrity, and performance across pipelines
- Collaborate with cross-functional teams to gather requirements and deliver data solutions
- Apply CI/CD best practices to support efficient and reliable deployments
- Troubleshoot and resolve data pipeline and performance issues
Graduate in Data Science, Computer Science, Statistics, or a related field. 3-4 years of experience in data science or data analysis.
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
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- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
