Design and maintain data pipelines for geospatial and optimization workflows, integrating data sources, and optimizing algorithms within simulation environments.
We are looking for a motivated and skilled Data Engineers with a solid foundation in data pipeline development, geospatial data handling, and optimization algorithms. This role involves working with cutting-edge technologies including 3D simulation platforms, real-time data integration, and advanced optimization tools. You will contribute to the design, implementation, and optimization of data-driven solutions within simulation environments. The ideal candidate is passionate about technology, eager to work on innovative projects, and capable of collaborating across multidisciplinary teams.
Requirements
- 1 to 4 years of experience in data engineering, with exposure to geospatial data and optimization algorithms.
- Proficiency in Python and SQL.
- Experience with Apache Spark and Databricks.
- Familiarity with 3D simulation platforms is highly desirable.
- Knowledge of optimization tools such as CuOpt, Gurobi, or CPLEX.
- Experience with cloud platforms (AWS, Azure) and scalable data architectures.
- Strong analytical and problem-solving abilities.
- Good communication and teamwork skills.
- Fluent English is mandatory.
Responsibilities
- Design, develop, and maintain data pipelines supporting geospatial and optimization workflows.
- Integrate data sources such as Apache Kafka, S3, and others into simulation environments.
- Develop and optimize real-time pipelines using tools like Apache Spark and Databricks.
- Implement and customize optimization algorithms or modules (e.g., CuOpt, Gurobi, CPLEX) for enhanced system performance.
- Collaborate with cross-functional teams including data scientists and engineers to deliver impactful simulation and decision-making tools.
- Analyze and improve the performance and scalability of systems and algorithms.
- Work with cloud platforms (AWS, Azure) to deploy and manage data and optimization solutions.
- Maintain geospatial databases using tools like PostGIS and ArcGIS.
Top Skills
Apache Kafka
Spark
Arcgis
AWS
Azure
Cplex
Cuopt
Databricks
Gurobi
Postgis
Python
SQL
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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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- 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
