[Hiring] Senior Data Platform Engineer @CareMessage

Role Description

At CareMessage, data is how we know whether our work is making a difference for people from low-income populations. Every appointment reminder, A1c recall and health education program we run generates insightful data. Teams across our organization as well as our customers use the insights generated by this data to make impactful decisions on how to care for patients. As our Senior Data Platform Engineer, you will unblock and enable every team that relies on that data, removing the barriers between our data and the people who use it to advance health equity.

You will own the Google Cloud infrastructure our data runs on, so pipelines are reliable, patient information is protected by default, and good ideas become trusted, production-ready work. You will be the primary owner of our data platform and a core member of our Data team, working alongside our Data Scientist and Data Analyst and partnering closely with our Infrastructure team, who own CareMessage's wider Google Cloud environment, and our Clinical Integrations engineers, who bring in clinical data from our customers' electronic health records.

Our data platform runs on Google Cloud: BigQuery, Datastream change data capture, Cloud Run functions and jobs, and a bronze, silver and gold layered warehouse with dbt on top. We are moving all of it into Terraform and CI/CD. This role owns this work within our established architecture and company objectives, building the foundation that lets everyone at CareMessage use our data safely and confidently.

Qualifications

• Deep, hands-on expertise in Google Cloud for data infrastructure.
• Experience running BigQuery, IAM and service accounts, and serverless compute such as Cloud Run in production.
• Proficient in managing infrastructure as code and shipping through CI/CD.
• Experience with Terraform or an equivalent, with pipelines such as GitHub Actions.
• Ownership of a production data platform end to end.
• Ability to write production-quality SQL and Python.
• Experience protecting sensitive data with controls defined in code.
• Experience working closely with data scientists or analysts.
• Commitment to health equity.

Requirements

• Own our Google Cloud data infrastructure as code.
• Manage BigQuery datasets, Datastream, Cloud Run functions and jobs, service accounts and IAM for our data projects in Terraform.
• Build and run CI/CD for data workloads.
• Set up monitoring, logging and alerting for freshness and failures.
• Protect patient data by default.
• Partner with our Infrastructure and Compliance teams on access reviews, audits and migration runbooks.
• Provide the organization with safe, self-serve environments to explore and build.
• Document the platform with runbooks, definitions and lineage.

Benefits

• Equal pay for equal work across global team members.
• Paid parental leave for biological and adopted children.
• 18 paid company holidays, including a one week mid-year and one week end-of-year break.
• 9 wellness days for self-care.
• 15 days of PTO.
• 1-month paid sabbatical after the 4-year anniversary, and every 4 years thereafter.
• Generous medical, dental, and vision insurance for employees and their families.
• Health Savings Accounts and Flexible Spending Accounts.
• Short & long-term disability insurance.
• $100 yearly wellness budget for physical, emotional, and mental wellness resources.
• Instant access to discounts on products & services from hundreds of vendors through PerkSpot.