Data Platform Engineer

Benchling provides R&D Cloud platform for biotechnology companies to accelerate breakthrough product development.
$157,250 - $212,750
Data
Senior Software Engineer
Hybrid
501 - 1,000 Employees
6+ years of experience
Biotech

Description For Data Platform Engineer

Benchling is revolutionizing the biotechnology industry through their R&D Cloud platform, enabling innovative companies to accelerate their breakthrough developments. As a Data Platform Engineer, you'll be at the forefront of building and scaling their data infrastructure.

The role offers an exciting opportunity to join a rapidly growing engineering team where you'll help form the foundation of Benchling's data pillar. You'll be responsible for developing next-generation Data Platform services that enable internal developers to build multi-tenant applications consuming near real-time data changes. This position is perfect for someone who combines strong technical expertise with a passion for impact in the life sciences sector.

Key technical aspects include working with high-throughput distributed messaging platforms, designing data transformations and pipelines, and ensuring data integrity and privacy. You'll be using cutting-edge technologies like Kafka, Kubernetes, and Python while working on everything from initial design to large-scale rollout of critical systems.

The position offers competitive compensation ($157,250-$212,750) and an impressive benefits package including comprehensive healthcare, 401(k) matching, parental leave, and professional development opportunities. The hybrid work model (3 days on-site) provides a balance between collaborative in-person work and flexibility.

This role is ideal for experienced engineers who want to make a meaningful impact in biotechnology while working with modern technologies and practices. You'll be part of a company that's not just building software, but helping to accelerate scientific breakthroughs that could change the world. The combination of technical challenges, mission-driven work, and excellent benefits makes this an outstanding opportunity for a senior-level data engineer looking to make their mark.

Last updated a day ago

Responsibilities For Data Platform Engineer

  • Own projects end-to-end, from initial design, to prototype, to large-scale rollout
  • Build & operate high throughput distributed messaging platform
  • Define and design data transformations and pipelines
  • Define Service Level Objectives for batch & streaming pipelines
  • Design and create CI/CD pipelines for platform provisioning
  • Work closely with Application and Platform teams to establish best practices

Requirements For Data Platform Engineer

Python
Kafka
Kubernetes
  • 6+ years of experience in software engineering
  • Experience with data processing technologies (Kafka, Kinesis, Spark, Flink)
  • Experience in schema design, SQL & Schema registry
  • Experience in building and operating Search System like Elastic
  • Strong experience with Python
  • Experience with deployment frameworks and container management systems
  • Strong communication skills

Benefits For Data Platform Engineer

Medical Insurance
Dental Insurance
Vision Insurance
401k
Mental Health Assistance
Parental Leave
Commuter Benefits
Education Budget
  • Competitive salary and equity
  • Medical, dental, and vision plans
  • Fertility healthcare and family-forming benefits
  • Four months paid parental leave
  • 401(k) + Employer Match
  • Commuter benefits
  • Mental health benefits
  • Monthly Wellness stipend
  • Learning and development stipend
  • Flexible vacation
  • Company-wide Summer & Winter holiday shutdown
  • Sabbaticals for 5-year and 10-year anniversaries

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