Data Engineer

Invitae is dedicated to bringing comprehensive genetic information into mainstream medicine to improve healthcare for billions of people. Our team is driven to make a difference for the patients we serve. We are leading the transformation of the genetics industry, by making genetic testing affordable and accessible for everyone to guide health decisions across all stages of life. 

Invitae needs engineers with diverse backgrounds to help us achieve our mission.  We are a cross-functional team of scientific domain experts and dedicated, curious engineers. We build systems that take massive amounts of genomic data, combine it with the world's scientific literature, add to it years of rigorously curated results, and package it all neatly for our scientists to consume. It's a lot of information. As the data gets bigger, our systems need to get better and faster. That's where you come in. 

The role focuses specifically on the Patient Data Network, which includes Ciitizen, a health technology platform that enables patients with cancer and rare neurologic disorders to collect, digitize, and share their health information. This includes a wide array of consumer and enterprise products used by a variety of customers including patients, providers, biopharma, advocacy, and HIEs. Specific examples of these applications include the Patient Portal, Clinical Trial Matching, Healthcare Services Marketplace, Patient Cohort Manager, and Prism Reporting.   

We are looking for a reliable and motivated Data Engineer to join our Patient Data Network team who can support our Data Platform Team in developing the data ingestion pipelines and data platform architecture that supports the analytical and reporting needs of internal stakeholders, data scientists, and our machine learning team, as well as externally facing products.

What you’ll do:

• Understand our complex data ecosystem and build data driven products and software solutions
• Design and develop product features and tools to enable teams to consume and understand data faster
• Develop and maintain a real-time streaming infrastructure that supports critical business functions
• Collaborate with multiple teams and own solutions from end-to-end

What you bring:

• 8+ years of relevant experience in Data engineering
• Extensive hands-on experience working with large datasets, pipelines, and modern warehouse technologies 
• Self-starter attitude and ability to work towards a larger goal with minimal guidance
• Advanced experience in SQL queries and performance tuning
• Understanding of functional programing paradigms
• Proficiency in Java, Python or Scala and a demonstrable ability to quickly learn
• Focus on high quality code, including automated testing and coding best practices
• Experience with messaging/queuing systems or stream processing systems
• Experience in building distributed systems with infrastructure automation, monitoring and alerting

Additional Preferred but not Required Skills:

• Experience with Snowflake as a warehouse technology
• Experience using Kafka for implementing streaming application
• Experience with CI/CD pipelines (e.g. GitHub Actions)
• Experience with maintaining and administering Kubernetes clusters
• Interest in working on related but separate projects in parallel
• Experience with DBT as data transformation tool
• Experience with data lineage/data governance tools like Atlan
• Experience with data modeling/dimensional modeling

At Invitae, you’ll work alongside some of the world’s experts in genetics and healthcare at the forefront of genetic medicine. Our teams thrive in our dynamic organization, which has been designed to empower them to make the biggest impact they can for our patients.  We give our employees the ability to explore interests and capabilities broadly within the organization. We prize freedom with accountability and offer significant flexibility. We also provide excellent benefits and competitive compensation in a fast-growing organization. 

At Invitae, we’re changing healthcare to change lives. Join us.

At Invitae, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

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