Staff Data Engineer

Inari Agriculture; Cambridge; On-site; USD 70,000 - 110,000

Job description

Inari is the SEEDesign company, using new breeding technology to push the boundaries of what is possible by designing nature-positive seeds for a more sustainable food system. A combination of AI-powered predictive design and a cutting-edge multiplex gene editing toolbox enables Inari to unlock the full potential of seed and advance critical solutions with broad applications for growing more food with fewer resources. This includes products that will generate greater yields while using significantly less land, water and other inputs.

Our success is dependent on great minds, collaborating to generate bright ideas and deliver exceptional outcomes.

We have over 300 employees, with research sites in Cambridge, MA (USA) and Ghent (Belgium), as well as a product development site in West Lafayette, IN (USA). We’ve deliberately built a team that brings diversity of thought to all aspects of our business, to generate new ideas, approaches, and ways of operating. And we've intentionally combined experience with potential, bringing agriculture industry experts with the desire to innovate together with bright minds from academia, human therapeutics, software, and consulting. If you want to be part of a diverse and inclusive team developing unique solutions to feed the world while protecting our planet’s natural resources, we’d love to hear from you!

About the role...

Inari’s Data Engineering team is looking for a Staff Data Engineer to join our team. We are looking for an experienced engineer to support building the data lake of our product pipeline for our SEEDesign platform to funnel information to different parts of the organization. This team will be focused on data sources, systems, and services to bring curated knowledge to our internal customers. You will engage with a critical cross section of our product, science, commercial, and engineering teams.

What you’ll do

• Build integrated data products and pipelines from a variety of systems and flat files that support different functions at Inari.
• Work with engineers to understand how we can move data to different applications and provide insight into key decision points throughout our product development pipeline.
• Work at the interface of data science, machine learning, application development, and accelerated computing to allow for some of the larger analysis of data and ingestion of public and internal data to drive editing of different row crops.
• Thrive in a fast-paced, cross-functional environment, learning new technologies, exploring large datasets, and contributing to a mission-driven focus on sustainable agriculture.
• BS/MS in Computer Science, Biotechnology, Bioinformatics, Mathematics or related STEM fields.
• 7+ years of software/data engineering experience, building data pipelines, and delivering curated data products (warehouses/marts); preferably supporting scientists doing high throughput data analysis.
• A strong commitment to our core values—innovation, boldness, integrity, openness, and collaboration—in your everyday work, showcasing a respect for diverse perspectives and a drive to embrace challenges and deliver high-impact results.
• Proactive communication and experience working with cross-functional teams.
• Expertise in Python, SQL.
• Experienced in one or more of Apache Airflow, Databricks, Apache Spark, Delta Lake, NoSQL, batch processing, event streaming/processing technologies.
• You are excited about building data models and working with scientific, commercial, and operational data.
• Familiarity with CI/CD and containerization technology.
• Familiarity with professional software engineering practices, including automated testing, agile methodologies, DevOps, pair programming, refactoring.
• Active interest in learning new technology or domains. We are an organization that goes across many disciplines.
• Experience working with AgTech or Biotech and supporting genomic data pipelines or other scientific/operational data pipelines.
• You have worked in bioinformatics adjacent teams.
• You are familiar with the Databricks lake house architecture.
• Experience with Terraform (other AWS-related IaC), Sigma Computing, PowerBI, Kubernetes, AWS Lambda, AWS Neptune, Knowledge Graphs.
• Experience working with computational scientists and understanding their diverse needs.

FOR U.S. CANDIDATES: Please note that we use the resume you submit with your application during our background check process. To ensure an efficient and accurate background verification, we kindly ask that you carefully review and accurately represent your work history, education and other relevant information on your resume. Any discrepancies or inaccuracies found during the background check may impact your candidacy for the position.

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