Senior Software Engineer
Role summary
We are seeking a Senior Software Engineer with deep expertise in Python to join our Data Engineering team. The role focuses on high-quality software engineering, including designing and building robust backend services, APIs, and data pipelines within our Google Cloud ecosystem. You will be responsible for scaling our data infrastructure from scripts to production-grade software, implementing modern tooling to enhance reliability and developer velocity, and collaborating with cross-functional teams. A strong understanding of data warehousing, SQL, DevOps practices (Docker, Kubernetes, Terraform, CI/CD), and a software-first mindset are essential for success in this role.
### Who you are
- BS in EE/CS with 8+ years of experience or MS in EE/CS or other applicable disciplines with 6+ years of experience
- Deep expertise in object-oriented Python within an enterprise environment. Experience in Java, C#, or Go is a major plus
- Software-First Mindset: You treat data infrastructure as a software product, not a series of one-off scripts or data pipelines
- Production DevOps: Proficiency with Docker, Kubernetes, CI/CD, and Infrastructure as Code (Terraform) within modern cloud providers
- Data Fluency: Strong SQL (e.g. BigQuery, PostgreSQL) and an understanding of how to build systems around data warehouses
- Modern Workflow: Proficient with LLM-assisted development (e.g. Cursor) to accelerate delivery while ensuring you can understand, explain and defend every line
- Ownership: A track record of taking complex engineering problems from an “idea” or “concept” to "stable service."
### What the job involves
- We need an Enterprise Python Expert to join our Data Engineering team
- While you’ll work within our data ecosystem, your primary focus is high-quality Software Engineering: designing and building pipelines and services, improving system architecture, and writing clean, scalable code with our Google cloud eco-system (GCP)
- Build and Design Services: Develop and stand up robust backend services and APIs that power our data platform
- Build for Scale: Transition us from simple scripts to production-grade software with logging, alerting, and automated testing
- Modernize Tooling: Evaluate and implement new frameworks that improve system reliability and developer velocity
- Collaborate: Partner with analysts, software engineers and infrastructure teams to ensure our data services are fast, secure, and easy to consume
- Demonstrate Python Excellence: Deliver high-quality code, conduct thorough code reviews, and guide peers in SDLC best practices
### The application process
- Recruiter Call: A brief screening to discuss your experience and initial questions
- Department Interview: Deeper dive into technical skills and project alignment with the Hiring Manager or team member
- Take-Home Assignment: Analyze a real-world problem, propose solutions, and present findings, evaluating analytical, strategic thinking, and presentation skills
- Technical Interview: Deeper dive into coding skills
- Team Interview: Meet team members for collaborative discussions, problem-solving, or technical exercises
### Benefits
- Take-what-you-need (paid) vacation for salaried employees
- 20 days of PTO and 7 paid holidays/year for hourly employees
- Stock options
- 401K retirement savings plan with generous matching
- Comprehensive health, dental and vision insurance plans, with options specific to your own health coverage needs
- Prosper Fit - A monthly stipend to use for gym memberships, personal training sessions, yoga and exercise classes, or club sports/fitness fees
- Pre-tax commuter/parking assistance
- Snacks and beverage selections in our kitchen
- Monthly meet-and-greet happy hours
- Perkspot discount programs
- One Medical
- SF Location - Rooftop deck with ping-pong and foosball table
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