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 designing impactful data solutions for clients at Simple Machines. Collaborating with engineers to build data platforms and pipelines in a hybrid workplace.
Responsibilities
- Design and build data platforms, pipelines, and integrations tailored to each client’s environment and objectives.
- Develop batch and real-time data processing solutions at scale.
- Work directly with clients to understand their requirements, shape expectations, and advise on best practices for data architecture and engineering.
- Rapidly learn and adapt to new cloud platforms, tools, and frameworks as projects demand.
- Help client teams build capability by sharing knowledge and establishing good engineering practices.
- Contribute to security, governance, and quality across the solutions you deliver.
Requirements
- Strong data or software engineering fundamentals. You write clean, well-tested, production-quality code.
- Proficiency in multiple programming languages, ideally including Python.
- Experience with cloud platforms (AWS, GCP, and/or Azure) and comfort working with cloud-native services.
- Strong experience with SQL, databases and/or data warehouses, data modelling, and data storage patterns.
- Exposure to containerisation, CI/CD, and infrastructure-as-code concepts.
- Excellent communication skills. You can translate technical concepts for non-technical stakeholders, understand client needs, and shape realistic expectations.
- A curious, adaptable mindset. You enjoy learning new technologies and thrive in varied project environments.
- 5+ years of professional experience in data engineering, software engineering, or a closely related field.
- Consulting or professional services experience is a bonus, but not essential - we’re happy to help you develop those skills if you have strong communication skills.
- Degree or equivalent experience in computer science or related field.
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