ROLE OVERVIEW

As one of Benchling's Data Platform engineers, you'll join a rapidly growing engineering team and form the foundation of our data pillar, encompassing customer-facing  products and internal-developer services/tools. You will build the next generation of our Data Platform services that enable internal developers to build multi-tenant applications/services that consume near real-time data-changes. Benchling is growing quickly, and you'll set 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

• Own projects end-to-end, from initial design, to prototype, to large-scale rollout.
• Build & operate high throughput distributed messaging platform like Kafka/kinesis to enable data change capture and data integration across Benchling.
• 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 6+ years of experience or a proven track record in software engineering
• Experience with data processing technologies Kafka, Kinesis, Spark, Flink, or other open-source or commercial software
• Experience in schema design, SQL & Schema registry
• Experience in building and operating Search System like Elastic 
• 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

HOW WE WORK

Flexible Hybrid Work: We offer a flexible hybrid work arrangement that prioritizes in-office collaboration. Employees are expected to be on-site 3 days per week.

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 base salary range is $165,113 to $223,388 

To help you determine which zone applies to your location, please see this resource. If you have questions regarding a specific location's zone designation, please contact a recruiter for additional information.

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