Software Engineer, Big Data Infrastructure

Biotechnology is rewriting life as we know it, from the medicines we take, to the crops we grow, the materials we wear, and the household goods that we rely on every day. But moving at the new speed of science requires better technology.

Benchling’s mission is to unlock the power of biotechnology. The world’s most innovative biotech companies use Benchling’s R&D Cloud to power the development of breakthrough products and accelerate time to milestone and market.

Come help us bring modern software to modern science.

ROLE OVERVIEW

Benchling's mission is to unlock the power of biotechnology. The world's most innovative biotech companies use Benchling's R&D Cloud to power the development of breakthrough products and accelerate time to milestone and market. Benchling's customers generate a rich and variety of science data. To keep up our innovation, Benchling need a highly scalable and extensible data platform that can serve both its customers and internal application team.

As one of Benchling’s Data Platform engineers, you’ll join a rapidly growing, premier engineering team and form the foundation of our data pillar, encompassing customer-facing data products, internal analytics, and the customer-facing data warehouse. The Big Data Infrastructure team is responsible for enabling customers access to their Benchling data for analytics & AI. You will build the next generation of Data Platform services that enables ingress and egress data access so that Benchling can seamlessly integrate with customer data lakes. Benchling is growing really quickly, and you’ll be setting the bar for high quality data and a metrics-driven culture as we scale. You’ll serve as a key input and thought leader, and work closely with the product teams to deliver data driven capabilities to our 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 

QUALIFICATIONS

• 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! 

HOW WE WORK

We offer a flexible hybrid work arrangement that prioritizes in-office collaboration. Employees are expected to be on-site 3 days per week (Monday, Tuesday, and Thursday).

SALARY RANGE

Benchling takes a market-based approach to pay.  The candidate's starting pay will be determined based on job-related skills, experience, qualifications, interview performance, and work location. For this role the b