Note: The job is a remote job and is open to candidates in USA. Well is a healthcare technology company transforming healthcare through a consumer health engagement platform supported by data, analytics, and behavior-change solutions. The Data Engineer will build and scale data pipelines, services, tooling, and cloud infrastructure to support large-scale data ingestion, monitoring, integration, and AI features. The role also involves collaborating with software engineering, DevOps, and data science teams while maintaining secure and reliable data systems.
Responsibilities
- Contribute to the design and implementation of a robust ETL process, managing file ingestion from external parties to AWS, GCP, and BigQuery with a focus on scalability and reliability
- Configure, maintain, and extend core data platform and internal data administration tools
- Monitor ETL processes with internal and external partners, and respond to events and/or data processing errors
- Collaborate with a team of experienced software engineers, DevOps engineers and data scientists to create and deliver a seamless, tailored experience for data team stakeholders
- Achieve operational excellence in software development by participating in and leading code reviews, quality assurance, and production monitoring
- Take personal responsibility for keeping all Well systems and data, including sensitive member data, secure and safe, according to Well data and security policies and HIPAA guidelines
Skills
- Experience in delivery of software utilizing Node.js, Python, SQL, and Terraform
- 3+ years of software development experience using cloud providers (AWS and/or GCP)
- Good understanding of general engineering principles, trade-offs, and systems design
- Robust coding abilities and demonstrated ability to resolve complex technical challenges
- Experience with test driven development, an understanding of microservices and big data patterns with insight into choices and tradeoffs involved
- Degree and/or background in a related field such as Computer Science, Engineering or a quantitative discipline with strong demonstrated practical experience
- Willingness to learn new patterns, languages, technologies and methodologies, aligning both with our Engineering culture and continuously evolving technology environment
- Experience working with healthcare data such as insurance claims, electronic health records, and wearables a plus
Benefits
- Bonus potential
- Remote work in approved locations
Company Overview
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