We are looking for a

Senior Data Engineer

to join our

Knowledge Representation Team ! Reporting to the team’s Engineering Manager, you will evolve BenchSci’s

Knowledge Graph , integrate public life science data into our biological ontology, iterate on data models in various data stores including graph DB, improve internal tooling to allow data self-service, and operationalize production-grade data pipelines. As part of this role, you'll collaborate with a world-class team, experience growth and mentorship, and apply data engineering solutions to shape the future of scientific discovery.

Check out the role overview below If you are confident you have got the right skills and experience, apply today.You Will:

Scale data pipelines to allow our data to go from research to platform quickly and reliablyManage sources that contain both semi-structured and unstructured biological data that contribute to the evolution of BenchSci’s Knowledge GraphIntegrate public life science data into the biological ontology in our Knowledge GraphCollaborate with ML, Data engineers, and Science to solve complex data mining and extraction challenges, enabling us to capture and model scientific experiments and resultsSeek out leadership opportunities and act as a Technical DRI (directly responsible individual) on multiple projects/epicsDesign testable, scalable solutions to complex problems using the latest frameworks and toolsUse your experience and knowledge to help define and apply best practices for a broad platform of technologies in a cloud-based environmentWrite and review engineering design proposals in accordance with BenchSci’s engineer best practicesContribute to your team’s processes including sprint planning, task estimation, and code reviewWork both independently and in pair-programming settings within an agile team of talented engineers to solve interesting data problemsBe given an unmatched opportunity for growth, and to learn from a team of outstanding engineersLiaise closely with stakeholders from other functions including product and scienceFeel challenged and engaged as you're exposed to new opportunities to require you to push yourselfYou Have:

Degree

in Software Engineering, Computer Science, or a similar area5+ years of experience

working as a professional data engineer in industryExpertise with

Python

coding and type systemExpertise in writing

SQL

(GQL, PostgreSQL, and BigQuery are a plus)Experience with building both

batch and streaming ETL pipelines

using data processing enginesExperience with

cloud development

(we use GCP and Terraform) including reference architectures and developing specialized stacks on cloud servicesA strong background in data modeling, data structures, and large-scale data manipulation/transformationsA 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 youYou 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 skillsCan clearly explain complex technical concepts/systems to engineering peers and non-engineering stakeholders across teamsExperience executing as part of high-performance engineering teams using industry-standard software delivery practicesProficient with

agile processes

(sprint planning, estimation, retros, standups, etc.)Ideally, you have worked in the scientific/biological domain with scientists on your teamA growth mindset continuously seeking to stay up-to-date with cutting-edge advances in tech and software/data engineering

Benefits and Perks:An engaging remote-first cultureA great compensation package that includes BenchSci equity optionsA robust vacation policy plus an additional vacation day every yearCompany closures for 14 more days throughout the yearFlex time for sick days, personal days, and religious holidaysComprehensive health and dental benefits.Annual learning & development budgetA one-time home office set-up budget to use upon joining BenchSciAn annual lifestyle spending account allowanceGenerous parental leave benefits with a top-up plan or paid time off optionsThe ability to save for your retirement coupled with a company match!About BenchSci:BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work, and top-ranked company on Glassdoor.Our Culture:BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning.We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement.You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture.Diversity, Equity and Inclusion:

We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives.Accessibility Accommodations:

Should you require any accommodation, we will work with you to meet your needs. Please reach out to .#LI-Remote

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