Lead Data Engineer

**Work from where you are - considering candidates in San Mateo, Santa Barbara, or US-based remote**

About Evidation

Evidation creates new ways to measure and improve health in everyday life. Built upon a foundation of user privacy and control over permissioned health data, Evidation's consumer platform is trusted by millions of individuals—generating data with unprecedented speed, scale, and rigor. We partner with leading healthcare companies to understand health and disease outside the clinic walls. Evidation is working to bring people individualized, proactive, and accessible healthcare—faster. Founded in 2012, Evidation is headquartered in California with employees working from around the globe.

Our Population Health Business Unit is looking for a Lead Data Engineer! Population Health is a software platform product offering that extends Evidation's population measurement and engagement capabilities to other B2B Customers and offers a custom-branded experience

As a Lead Data Engineer, you will be working on our Data Platform: coding in Python and SQL, using cutting-edge big data technologies such as Snowflake, Airflow, and dbt to build out data pipelines, data lakes, full-stack applications, and analytics tools that scale on the cloud to empower data scientists to gather insights from billions of data points to improve health outcomes.

• Ingest data from digital health sources, including fitness trackers, other wearable devices, electronic medical records, survey data, voice transcripts, etc. 
• Design and architect scalable, high-performance solutions that continuously handle terabytes of data and enable data scientists to analyze data at scale.
• Address performance and scalability concerns in a fast-growing data pipeline
• Act as the primary point of contact with internal stakeholders to understand their needs and develop and deliver solutions that meet these needs in a timely manner.
• Implement best practices and provide feedback to team members through peer reviews.
• Protect our participants by designing and developing privacy solutions in compliance with regulatory requirements such as CCPA and GDPR.

Minimum Qualifications:

• 5+ years experience in data engineering or full-stack engineering with strong data skills
• Proficiency with at least one interpreted, object-oriented programming language (Python, Ruby, Java, etc.)
• Distributed computing experience on the cloud (particularly AWS)
• Experience with SQL databases (e.g., Postgres, MySQL, Oracle) and Distributed Datastores (e.g., S3)
• Strong written and verbal communication
• Work effectively in a collaborative and cross-functional team environment
• Quality-focus, ensuring proper test coverage for all the code you write
• Take personal responsibility for driving initiatives forward and continually improving the product

Preferred Qualifications:

• Experience in leading projects involving multiple engineers
• Experience with ETL/ELT
• Experience building data warehouses (e.g., Snowflake, Redshift, dbt etc.)
• Proficiency in building data pipelines with big data processing technologies (Spark, Hadoop, Kafka, etc.)
• Experience with Apache Airflow
• Experience with HashiCorp Terraform

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