Senior Software Engineer, Data Quality

Passionate about precision medicine and advancing the healthcare industry?

Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

Tempus is executing on the mission to create the world’s largest, integrated dataset of molecular and clinical data. At Tempus, products are owned and developed by small, autonomous teams composed of developers, designers, data scientists, and product managers. You and your team set the goals, build the software, deploy the code, and contribute to a growing software platform that will make a lasting impact in the field of cancer research and treatment.

Tempus builds software as nimble as our teams. Our modern tech stack allows our teams to iterate rapidly and lead our industry in innovation. Our decentralized, microservice architecture and emphasis on automation allow us to deliver advanced solutions with confidence, and at scale.

What You’ll Do

• Design, develop, and optimize data structures, ETL/ELT solutions, stored procedures, and functions using SQL and modern, cloud-based ETL/ELT technologies
• Work with product managers, architects and internal stakeholders across the company in areas such as data science, clinical and molecular SMEs, and source system data producers to identify gaps and help maintain a backlog of tasks for development
• Understand IT systems, analyze historical data, interpret trends, and  identify patterns in complex data sets
  
• Identify, evaluate and propose ways to improve overall visibility into data health and areas of opportunity to be surfaced at KPI levels
  
• Deploy code with established CI/CD change management guidelines
• Triage data quality  issues reported by users in production systems
• Analyze existing SQL queries for performance improvement opportunities
• Maintain data warehouse ecosystem documentation such as ER Diagrams, data dictionaries, process descriptions, data catalog, etc. according to team standards

Why we’re looking for you:

• Domain knowledge in healthcare or genomics
• Experience in quality control, unit testing, and creating testing frameworks for reliable data
• Knowledge of dimensional and relational database modeling concepts such as referential integrity, normalization, etc.
• Ability to translate business requirements into SQL code
• Experience with Business Intelligence tools like Looker
• Exceptional SQL skills in an enterprise data warehouse environment
• Experience with ETL/ELT and BI architectures, concepts and frameworks
• Knowledge of data management best practices like incremental vs full loads, how to handle deleted data in source systems, insert-only vs merge architecture, etc.
• Background working with high volume and high velocity data warehouses
• Ability to adapt quickly in a rapidly changing environment while effectively managing multiple projects and priorities simultaneously
• Flexible to changing priorities

Bonus points for:

• Experience with GCP architecture
• Experience working in a healthcare research or analytic/data science environment
• Experience writing and debugging Python (SQL is required)
• Familiarity with modern ELT tools such as DBT
• Familiarity working within containerized environments