Senior Data Engineer

About UsHungryroot is using AI to build the most consumer-centric food and wellness company to ever exist. We are your personal assistant for healthy living. We get to know your goals, lifestyle, and budget, and we recommend and deliver healthy groceries, easy recipes and essential supplements for you and your family. It’s the easiest way to eat healthy, achieve your goals, save time, and discover new foods. Founded on the belief that food is the foundation of health, convenience should not mean compromise, and we’re all unique in how we eat and live, Hungryroot is building a future in which healthy living is easy and enjoyable. We are a distributed team built on top talent from over 28 states across the U.S. While we have a headquarters in New York City, we support employees working from wherever they are based. We believe in fostering team connection and collaboration across all of our employees' locations. Expect to attend regular team building events and an annual company retreat. Expect to be treated like an owner who cares about our common goal, not someone who has to clock in and out of work.About the RoleWe’re looking for a Senior Data Engineer to be a part of our growing Data team. You’ll be responsible for working directly on the data pipelines and systems that create our Hungryroot Analytics data model used to inform financial decision making, product development, inventory management and more. As a member of the team, you will work collaboratively with Analysts across many departments and your Data Engineering peers to build, deploy, and maintain data pipelines that power our Analytics data model. You will be responsible for data model design, developing and deploying pipelines, and setting the example of code quality and value across the Data Engineering team. This role will join Hungryroot’s Data Engineering team and you’ll report directly to our Data Engineering Lead. In this role, you will work closely with Analysts at Hungryroot to improve our Analytical data model and unlock our Analyst’s potential to make broad impacts at Hungryroot. You will set an example in the Data Engineering team as a strong pipeline developer, communicator, and teacher for your Data Engineering peers. Come join our team, apply your passion for data and have fun!ResponsibilitiesDevelop pipelines in Spark (Python + Scala) in the Databricks PlatformBuild cross-functional working relationships with business partners in Food Analytics, Operations, Marketing, and Web/App Development teams to power pipeline development for the businessEnsure system reliability and performanceDeploy and maintain data pipelines in productionSet an example of code quality, data quality, and best practices Work with Analysts and Data Engineers to enable high quality self-service analytics for all of HungryrootInvestigate datasets to answer business questions, ensuring data quality and business assumptions are understood before deploying a pipelineContinually integrate AI processes into your workflow and to simplify IT for the organization, so you can spend time on the most meaningful workQualifications5+ years of experience in ETL development and data modeling5+ years of experience in both Scala and Python5+ years of experience in SparkExcellent problem-solving skills and the ability to translate business problems into practical solutions2+ years of experience working with the Databricks PlatformPerks Benefits Remote-first: work from home, work from our NYC office, work from anywhere in the U.S. - you decide!Equity Unlimited vacation policyUniversal paid parental leaveMonthly Hungryroot credit for delicious, healthy groceriesComprehensive health, vision, dental, and life insuranceWellbeing benefits including One Medical, Spring Health, LiveHealth, Rightway care concierge, and more401k with matchA work from home stipend to support your initial home-office setupExpected Pay Range$144,000-$180,000 USDThe employer will not sponsor applicants for work visas.Our mission to help make healthy eating easy, accessible, and joyful is better served by a diverse workplace. We are a proud Equal Opportunity Employer committed to building an inclusive workplace. We have zero-tolerance for harassment or discrimination. We do not discriminate on the basis of any protected class. Originally posted on Himalayas

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