Senior Software Engineer II, Data Products

Responsibilities

• Lead Technical Architecture: Drive the high-level design and architecture of distributed systems at scale, ensuring alignment with strategic goals for Tempus’s data management platform.
• System Design & Implementation: Design, implement, and test complex production backend web services in TypeScript, serving as a standard-bearer for code quality and system reliability.
• Data Pipelining: Build and maintain pipelines to load schema-defined data into the data warehouse using cloud storage and data warehousing technologies.
• Provision access to this data according to Tempus’s internal policies and regulatory obligations.
• Stakeholder & Product Leadership: Use exemplary stakeholder management skills to work closely with Product Managers to translate complex business requirements into technical roadmaps, ensuring clear communication and alignment with business goals.
• Operational Excellence: Take operational responsibility for platform systems in production, including on-call duties. Troubleshoot complex technical issues and proactively monitor systems to ensure reliability and performance optimization.
• Mentorship & Best Practices: Mentor other engineers on your team, fostering a culture of continuous learning. Along with your Engineering Lead, define and promote best practices for software engineering, including testing strategies, documentation, and code reviews.
• Support & Enablement: Leverage your expertise to support cross-functional science, ML, and AI teams. Act as a high-level escalation point to answer user questions and resolve development or production issues regarding data and compute workflows.

Qualifications

• Experience: 8+ years of experience in software or data engineering, with a strong focus on platform engineering, distributed data systems, or backend web services.
• Educational Background: Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent industry experience.
• Languages: Demonstrated success in writing production backend services in JavaScript/TypeScript, Python, or other similar languages, with a willingness to work primarily in a Node.js and Python environment.
• Cloud & Infrastructure Skills: Deep experience designing and running production systems on public cloud platforms (GCP preferred). Working knowledge of cloud object storage (GCS, S3), ETL services (Dataflow), and data warehousing (BigQuery).
• Data & Database Expertise: Strong familiarity with distributed, relational database design (GCP Cloud Spanner) and data modeling (JSON Schema, Avro, or similar), including schema migrations and enforcing data contracts.
• Technical Design: Proven track record of translating complex business requirements into scalable technical designs for distributed systems.
• Preferred Qualifications: Experience with GCP services including GKE, Cloud Spanner, BigQuery, and Dataflow is a plus. Familiarity with DevOps culture, including CI/CD pipelines, immutable data patterns, and DevOps practices. Experience with data cataloging, data lineage, or platforms supporting ML/GenAI and/or bioinformatics workflows.

Pay

$150,000 - $190,000

Schedule

Hybrid setting of 3 days/week