Senior Data Engineer

September 4

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BenchSci

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We empower scientists with the world’s most advanced biomedical artificial intelligence.

Antibody • Research • Machine Learning • Online Platform • Science

201 - 500

💰 Series C on 2022-01

Description

• 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 • Seek out leadership opportunities and act as a Technical DRI 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

Requirements

• Degree in Software Engineering, Computer Science, or a similar area • 5+ years of experience working as a professional data engineer 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 • 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 • You have experience working in cross-functional teams with product managers, scientists, project managers, and engineers from other disciplines • 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 • A growth mindset continuously seeking to stay up-to-date with cutting-edge advances in tech and software/data engineering

Benefits

• Growth and mentorship opportunities • Work with a world-class team • Engaging work environment