Remote Senior Software Engineer, Data

Description:

• We are looking for a Senior Software Engineer, Data to join our Knowledge Enrichment Team.
• This position reports to the team’s Engineering Manager.
• You will evolve BenchSci’s Knowledge Graph and integrate public life science data into our biological ontology.
• The role involves iterating on data models in various datastores, including graph databases.
• You will improve internal tooling to allow data self-service and operationalize production-grade data pipelines.
• You will collaborate with a world-class team and experience growth and mentorship.
• The position requires applying data engineering solutions to shape the future of scientific discovery.
• You will scale data pipelines to allow our data to go from research to platform quickly and reliably.
• You will manage sources containing both semi-structured and unstructured biological data that contribute to the evolution of BenchSci’s Knowledge Graph.
• You will collaborate with ML, Data engineers, and Science to solve complex data mining and extraction challenges.
• You will seek out leadership opportunities and act as a Technical DRI on multiple projects/epics.
• You will design testable, scalable solutions to complex problems using the latest frameworks and tools.
• You will help define and apply best practices for a broad platform of technologies in a cloud-based environment.
• You will write and review engineering design proposals in accordance with BenchSci’s engineering best practices.
• You will contribute to your team’s processes including sprint planning, task estimation, and code review.
• You will work both independently and in pair-programming settings within an agile team of talented engineers.
• You will liaise closely with stakeholders from other functions including product and science.
• You will be challenged and engaged as you're exposed to new opportunities.

Requirements:

• A degree in Software Engineering, Computer Science, or a similar area is required.
• You must have 5+ years of experience working as a professional software engineer in the industry.
• Expertise with Python coding and type system is essential.
• You should have expertise in writing SQL, with GQL, PostgreSQL, and BigQuery being a plus.
• Experience with building both batch and streaming ETL pipelines using data processing engines is required.
• A deep understanding of building Knowledge Graphs entailing biological ontologies and leveraging graph databases for their storage is necessary.
• Experience with cloud development, specifically GCP and Terraform, is required.
• A strong background in data modeling, data structures, and large-scale data manipulation/transformations is essential.
• A proactive and assertive attitude is necessary, as the environment emphasizes freedom and responsibility.
• You should have experience working in cross-functional teams with product managers, scientists, project managers, and engineers from other disciplines.
• Outstanding verbal and written communication skills are required.
• You must be able to clearly explain complex technical concepts to both engineering peers and non-engineering stakeholders.
• Experience executing as part of high-performance engineering teams using industry-standard software delivery practices is necessary.
• Proficiency with agile processes, including sprint planning, estimation, retrospectives, and standups, is required.
• Ideally, you have worked in the scientific/biological domain with scientists on your team.
• A growth mindset and a desire to stay up-to-date with cutting-edge advances in tech and software/data engineering are essential.

Benefits:

• An engaging remote-first culture is provided.
• A great compensation package that includes BenchSci equity options is offered.
• A robust vacation policy plus an additional vacation day every year is included.
• Company closures for 14 additional days throughout the year are part of the benefits.
• Flex time for sick days, personal days, and religious holidays is available.
• Comprehensive health and dental benefits are provided.
• An annual learning and development budget is included.
• A one-time home office set-up budget is available upon joining BenchSci.
• An annual lifestyle spending account allowance is provided.
• Generous parental leave benefits with a top-up plan or paid time off options are included.
• The ability to save for your retirement coupled with a company match is offered.