Design and implement data integration and data warehouse solutions using big data technologies. Build cost-efficient, performant cloud data pipelines, apply data modeling and machine learning knowledge, and implement real-time streaming and aggregation patterns.
Role Big Data Engineer Responsibilities Implement Data integration and Data Warehouse based solutions using Big Data Technologies. Should be highly proficient in the use of Big Data / Open Source Technologies and standard techniques of Data Integration, Data Manipulation with hands-on contribution. Should be able to develop cost efficient and performant data pipelines in the cloud platform In-depth understanding of modern big data technology, including Data modeling and machine learning skills Knowledge of real time data streaming and aggregation architectural patterns and practice Essential Skills: 3+ Years hands on knowledge on SQL as well as SQL/NoSQL databases Proficient in programming languages such as Python and PySpark/Scala/Java
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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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- 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
