Sr. Data Engineer

Verana Health, a digital health company that delivers quality drug lifecycle and medical practice insights from an exclusive real-world data network, recently secured a $150 million Series E led by Johnson & Johnson Innovation – JJDC, Inc. (JJDC) and Novo Growth, the growth-stage investment arm of Novo Holdings. 

Existing Verana Health investors GV (formerly Google Ventures), Casdin Capital, and Brook Byers also joined the round, as well as notable new investors, including the Merck Global Health Innovation Fund, THVC, and Breyer Capital.

We are driven to create quality real-world data in ophthalmology, neurology and urology to accelerate quality insights across the drug lifecycle and within medical practices. Additionally, we are driven to advance the quality of care and quality of life for patients. DRIVE defines our internal purpose and is the galvanizing force that helps ground us in a shared corporate culture. DRIVE is: Diversity, Responsibility, Integrity, Voice-of-Customer and End-Results. Click here to read more about our culture and values. 

Our headquarters are located in San Francisco and we have additional offices in Knoxville, TN and New York City with employees working remotely in AZ, CA, CO, CT, FL, GA, IL, LA, MA, NC, NJ, NY, OH, OR, PA, TN, TX, UT , VA, WA, WI. All employees are required to have permanent residency in one of these states. Candidates who are willing to relocate are also encouraged to apply.

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Job Title: Data Engineer

Job Intro:

As a Data/Software Engineer at Verana Health, you will be responsible for extending a set of tools used for data pipeline development. You will have strong hands-on experience in design & development of cloud services. Deep understanding of data quality, metadata management, data ingestion, and curation. Generate software solutions using Apache Spark, Hive, Presto, and other big data frameworks. Analyzing the systems and requirements to provide the best technical solutions with regard to flexibility, scalability, and reliability of underlying architecture. Document and improve software testing and release processes across the entire data team.

Job Duties and Responsibilities:

• Architect, implement, and maintain scalable data architectures to meet data processing and analytics requirements utilizing AWS and Databricks
• Ability to troubleshoot complex data issues and optimize pipelines taking …