Data Engineer responsible for developing research analytic data infrastructure at Sutter Health. Involves managing data quality, pipelines, and compliance with healthcare regulations.
About the role
- Senior Data Engineer developing scalable data solutions for electric vehicle market at Kempower. Collaborating with cross-functional teams to enhance data engineering processes.
Responsibilities
- develop scalable and cost-effective data solutions
- collaborate with cross-functional teams
- make a direct impact on the mission to revolutionize transportation
- future-proofing existing data platform for internal and external stakeholders
- creating production grade data solutions in co-operation with internal stakeholders
- improving existing data models to build scalable and cost-effective data solutions
- building new and optimizing existing data pipelines
- planning and collaborating with external and internal stakeholders
- taking ownership of ChargEye’s data landscape
- overseeing data quality and governance
- taking a leading role in designing new data engineering processes and its implementations
- mentoring and supporting the more junior colleagues in the team
Requirements
- 5+ years of experience as a Data Engineer or in a similar role
- Solid understanding and hands-on experience working with cloud platforms, preferably AWS.
- Prior experience with big data technologies and distributed computing (such as Apache Spark, EMR, Databricks, etc)
- Good grasp of SQL and database technologies in general – we use TimescaleDB as one of our operational databases for ChargEye and Databricks as our main analytical platform
- Some experience with CI/CD pipelines
- Good overall understanding of basic software development practices (version control, documentation, code reviews, etc.)
- Understanding of IaC and preferably some prior experience – we use Terraform but experience with other tools counts as well
- Familiarity with GenAI technologies, large language models or AI-driven analytics in production data pipelines
- Track record of continuous learning and curiosity
- Skills that make you stand out: Prior experience with streaming analytics (Flink, Structured streaming in Spark, etc)
- Experience with data modelling in IoT context
- Proficiency in spoken and written English is required.
Benefits
- flexibility to balance work and life with hybrid work options
- comprehensive occupational healthcare services
- extensive insurances
- rewarding and motivating compensation packages
- freedom to choose the equipment you need to excel in your role
- various other benefits such as sports, culture, and well-being
- ability to spend one workday participating in charity work
Job title
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