Invitae joins Labcorp to further the future of genetic testing. The mission for the Data Solutions team is to manage and support all data for LabCorp genetics, including patient, analytics, financial, and other information. We ingest data at scale, model new data, manage security and authorization, and work closely with stakeholders to provide data for internal and external customers. The platform provides capabilities to build robust data pipelines, enable stakeholder self-service, manage authorization, and provide data to internal and external users. As a Senior Software Engineer on the Data Solutions, team you will lead the next evolution of data at LabCorp Genetics. Collaborating with cross-functional teams, you’ll manage critical data and create forward-thinking solutions to provide data across the organization, improve the understandability of data, and enable new, novel applications to manage patient data and enable genetics research.
Requirements
- Demonstrated excellence in one or more technical stacks from infrastructure to application code with strong database experience. We use AWS, Snowflake, SQL, Kubernetes, Kafka, Spark and Scala using Terraform, GitHub Actions, and New Relic as the observability & monitoring platform.
- Deep technical expertise and a passion for high-performing database applications, with robust data models, a comprehensive data catalog, and strong data governance and security.
- Deep experience with ETL/ELT systems to ingest and transform data with high reliability, data quality and performance.
- Experience with dbt (Data Build Tool) or related system to transform data using SQL.
- Pipelines using FiveTran or related tools.
- Streaming data capture experience using Debezium or related tools.
- Experience with data orchestration using Argo/Airflow or similar tools.
Responsibilities
- Design, develop, test, deploy, maintain, and enhance the database and software systems in the Data Solutions ecosystem.
- Lead individual project priorities, deadlines, and deliverables aligned with the Data Solution team’s roadmap.
- Work closely with data scientists, subject matter experts, and other stakeholders to ensure that the database and applications functionality meets the user needs.
- Architect and implement new features and improve components to improve robustness, increase performance, implement strong security, and enable stakeholder self-service to rapidly enhance the system and access data.
- Identify and advocate for foundational work that can support work across the Data Solutions organization, workflow improvements, and new technologies with sizable potential impact focused on paying down technical debt.
- Take part in the Data Solutions team's on-call rotation to provide production support for critical business operations, ensuring that test order turnaround times remain un-impacted.
- Provide insightful and comprehensive feedback on code reviews for all applications owned by the Data Solutions team.
Other
- Advanced degree in Engineering, Computer Science, IT or related field.
- 8+ years progressive development experience
- Background in high-performance data warehousing and analytics in life sciences, pharma/biotech, or high-tech industries with an aptitude for building scalable and resilient Data Platforms and pipelines.
- A desire to make an impact in the genetic testing industry.
- Experience collaborating with stake-holders to enable stakeholder self-service, define data models, enhance existing systems, and provide data in a timely manner.
