Hybrid Software Engineer, Big Data Infrastructure

at Benchling

• Job title: Software Engineer, Big Data Infrastructure
• Job type: Full Time
• Experience level: Junior, Mid level
• Salary: $141,104 - $190,906 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Ansible, Chef, Distributed Systems, Kafka, Kubernetes, Python, Spark, SQL, Terraform
• Location requirements: Hybrid, San Francisco, United States

About the role

• Software Engineer developing scalable data platforms for Benchling's biotechnology solutions. Collaborating with teams to build data-driven capabilities for internal and external customers.

Responsibilities

• Build next generation Data Platform with scalable data ingress/egress for internal and external customers
• Define and design data transformations and pipelines for cross-functional datasets, while ensuring that data integrity and data privacy are first-class concerns regarded proactively, instead of reactively
• Define the right Service Level Objectives for the batch & streaming pipelines, and optimize their performance
• Designing and creating CI/CD pipelines for platform provisioning, full lifecycle management. Building the platform control panel to operate the fleet of systems efficiently
• Work closely with the team across Application and Platform to establish best practices around usage of our data platform

Requirements

• Have 2+ years of experience or a proven track record in software engineering
• Strong experience in backend engineering and distributed systems
• Strong experience with scripting language (such as Python)
• Experience with deployment and configuration management frameworks such as Terraform, Ansible, or Chef and container management systems such as Kubernetes or Amazon ECS
• Driven by creating positive impact for our customers and Benchling's business, and ultimately accelerating the pace of research in the Life Sciences
• Comfortable with complexity in the short term but can build towards simplicity in the long term
• Strong communicator with both words and data - you understand what it takes to go from raw data to something a human understands
• Willing to work onsite in our SF office 3 days a week
• Experience with data analytics and warehouse solutions (e.g. Snowflake, Delta Lake), data processing technologies (e.g. Kafka, Spark), schema design, and SQL are a plus!

Benefits

• Competitive total rewards package
• Broad range of medical, dental, and vision plans for employees and their dependents
• Fertility healthcare and family-forming benefits
• Four months of fully paid parental leave
• 401(k) + Employer Match
• Commuter benefits for in-office employees and a generous home office set up stipend for remote employees
• Mental health benefits, including therapy and coaching, for employees and their dependents
• Monthly Wellness stipend
• Learning and development stipend
• Generous and flexible vacation
• Company-wide Winter holiday shutdown
• Sabbaticals for 5-year and 10-year anniversaries