Senior Software Engineer, Data

You Will:

• Scale data pipelines to allow our data to go from research to platform quickly and reliably
• Manage sources that contain both semi-structured and unstructured biological data that contribute to the evolution of BenchSci’s Knowledge Graph
• Integrate public life science data into the biological ontology in our Knowledge Graph
• Collaborate with ML, Data engineers, and Science to solve complex data mining and extraction challenges, enabling us to capture and model scientific experiments and results
• Seek out leadership opportunities and act as a Technical DRI (directly responsible individual) on multiple projects/epics
• Design testable, scalable solutions to complex problems using the latest frameworks and tools
• Use your experience and knowledge to help define and apply best practices for a broad platform of technologies in a cloud-based environment
• Write and review engineering design proposals in accordance with BenchSci’s engineer best practices
• Contribute to your team’s processes including sprint planning, task estimation, and code review
• Work both independently and in pair-programming settings within an agile team of talented engineers to solve interesting data problems
• Be given an unmatched opportunity for growth, and to learn from a team of outstanding engineers
• Liaise closely with stakeholders from other functions including product and science
• Feel challenged and engaged as you're exposed to new opportunities to require you to push yourself

You Have:

• Degree in Software Engineering, Computer Science, or a similar area
• 5+ years of experience working as a professional software engineer, data in industry
• Expertise with Python coding and type system
• Expertise in writing SQL (GQL, PostgreSQL, and BigQuery are a plus)
• Experience with building both batch and streaming ETL pipelines using data processing engines
• Deep understanding of building Knowledge Graphs entailing biological ontologies, and leveraging graph DBs for their storage
• Experience with cloud development (we use GCP and Terraform) including reference architectures and developing specialized stacks on cloud services
• A strong background in data modeling, data structures, and large-scale data manipulation/transformations
• A can-do proactive and assertive attitude - your manager believes in freedom and responsibility and helping you own what you do; you will excel best if this environment suits you
• You have experience working in cross-functional teams with product managers, scientists, project managers, and engineers from other disciplines (e.g., machine learning)
• Outstanding verbal and written communication skills
• Can clearly explain complex technical concepts/systems to engineering peers and non-engineering stakeholders across teams
• Experience executing as part of high-performance engineering teams using industry-standard software delivery practices
• Proficient with agile processes (sprint planning, estimation, retros, standups, etc.)
• Ideally, you have worked in the scientific/biological domain with scientists on your team
• A growth mindset continuously seeking to stay up-to-date with cutting-edge advances in tech and software/data engineering