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Employment type:
Full time
Experience required:
Intermediate
Salary
Salary not provided
About the company:
About Inari...
Inari is the SEEDesign™ company. We embrace the diversity and complexity of nature in every aspect of our business to drive innovation – to push the boundaries of what is possible. Through our unrivaled technology platform, Inari uses predictive design and advanced multiplex gene editing to develop step-change products. We are taking a nature positive approach to unlock the full potential of seed that will transform the food system. The results will lead to more productive acres delivering value creation for farmers and a more sustainable future for our planet.
Our success is dependent on great minds, collaborating to generate bright ideas and deliver exceptional outcomes.
We have over 270 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...
The Inari 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, and engineering teams.
Inari is a late-stage biotech startup on a mission to transform the food system and create a more sustainable future. We are using predictive design and advanced multiplex gene editing to unlock the full potential of seeds. Inari was named a Technology Pioneer by the World Economic Forum and our Inari Engineering team is featured in the top 16 Engineering teams in the tech industry. If you want to learn more about what we are doing on the technology side see our talk at AWS Re:Invent 2021
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!
Location: Ghent - Belgium, West Lafayette, IN or Cambridge MA.
What you’ll do
- Help model and connect data from a variety of systems in flat files, SAAS, RDS, and internal APIs to build a full data lake ranging from ideation to sequence data to greenhouse observations to field performance.
- Engage with internal engineers, analysts, and scientists to understand how we can move data to different applications and provide insight into better decisions at different points in our product development.
- Lead and deliver high value data projects in collaboration with other engineers and external contractors.
- Operate at the interface of data science, Machine Learning Platform, 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.
You bring…
- Bachelors/Master’s in Computer Science, Biotechnology, Bioinformatics, Mathematics or related STEM fields.
- 6+ years of software/data engineering experience, building data pipelines, and delivering curated data products; preferably supporting scientists doing high throughput data analysis.
- A strong commitment to our team’s values: learn from every decision, no heroes/heroines, thoughtful inclusion, and fail fast.
- Experience with one or more of Apache Airflow, Databricks, Apache Spark, Delta Lake, NoSQL(DynamoDB, MongoDB, or similar), event streaming/processing technologies(SQS, Kafka, Kinesis, EventBridge, or similar), Argo Workflows, Docker, SQL databases(Postgres, MS SQL, etc)
- Expertise in Object Oriented Programming, preferably Python
- A passion for CI/CD and containerization technology.
- You are excited about building data models and working with scientific data.
- Experience with professional software engineering, including automated testing, agile methodologies, DevOps, pair programming, refactoring.
- Ability to work in a fast-paced, cross functional environment in a self-directed fashion.
- Active interest in learning new technology or domains. We are an organization that goes across many disciplines.
- Desire to work in a mission driven organization focused on sustainability and how we grow food.
- Interest in exploring new tools from the literature and working with large data sets.
Bonus points:
- Experience working with AgTech or Biotech and supporting genomic data pipelines, integrating data from data sources such as LIMS, ELN, and other 3rd party APIs.
- You have worked in bioinformatics adjacent teams.
- You are familiar with Databricks lake house architecture.
- Experience with Scala, Go, Argo, Kubernetes, Tableau, AWS Athena, AWS Lambda, Terraform, CloudFormation.
- Experience working with computational scientists and understanding their diverse needs.
Learn more about us:
Helping farmers feed the world: https://seedworld.com/faster-breeding-will-help-farmers-feed-the-world/
World Economic Forum Global Innovator: https://inari.com/news/inari-selected-for-world-economic-forums-global-innovators-community
Bloomberg: Inari AgTech Startup: https://www.bloomberg.com/news/articles/2021-05-12/agtech-startup-inari-nabs-new-funding-at-1-2-billion-valuation
Forbes: Gene editing with CRISPR: https://www.forbes.com/sites/lanabandoim/2021/05/21/gene-editing-seeds-with-crispr-is-transforming-agricultural-biotechnology/?sh=63d255e2163d
Inari at Re:Invent: https://youtu.be/FCSAwTiF450?t=2507
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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