Data Engineer

About the role

Well is seeking an experienced and self-motivated data engineer to help build the next generation of our data pipelines and data tooling. You will be creating new services, interfaces, data pipelines and cloud infrastructure to support the transfer, ingestion, monitoring and integration of large amounts of data: thousands of files, millions of events, and billions of rows in our data lake. We are in the process of scaling our data infrastructure and driving mission critical AI features for our products. Come join us, it’s a pivotal time to be at Well and you’ll make a real difference.

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

Requirements

• 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

Additional qualifications

• Experience working with healthcare data such as insurance claims, electronic health records, and wearables a plus

Open Ended Questions: Please provide concise examples based on your own experience. Do not include confidential information or proprietary code. Equivalent technologies and environments are welcome.