Noom is a digital healthcare company that connects people to content, coaching, community, and clinicians to build healthy habits and promote better living. We’re a mission-driven, high-growth organization that’s powered by science, technology, and world-class talent.
Our Engineering team is seeking a Lead Data Engineer to focus on building scalable and maintainable data pipelines that empower self-service analytics across our product, data science, coaching, finance, and leadership teams. You will design and implement systems that simplify data workflows, improve documentation, and ensure efficient data processing at scale. Your expertise in Python, SQL, Airflow, and pipeline optimization will be key in building a robust, reliable data platform that meets the needs of both technical and non-technical users.
What You’ll Be Doing: Lead the migration of data infrastructure from Redshift to Databricks. Build scalable, maintainable data pipelines using Python, SQL, and Airflow, improving existing complex logic to increase performance and reliability. Partner with Data Science, Product, Coaching, and Finance teams to deliver intuitive, domain-specific data sets, pipelines, and models. Support the transition to a self-service data model by designing simplified data pipelines and improving documentation and workflows. Provide operational support for data infrastructure, ensuring pipelines are reliable, secure, and cost-efficient. Collaborate with Analytics and Data Science teams to design standardized data models for business reporting. Design and implement best practices around data security, access, and storage, ensuring compliance with legal requirements regarding PII and PHI data. Build automation and tooling that simplifies the process for developers to publish and users to consume data. Serve as a mentor to junior engineers, helping them grow and write clean, maintainable code. What We’re Looking For: Strong expertise in Python and SQL for data processing and pipeline development. Hands-on experience with Airflow for orchestrating complex data workflows. Proven track record of building scalable data infrastructure and optimizing data pipelines. A strong understanding of Databricks, with experience in Redshift a plus! Knowledge of data modeling and experience working with BI tools like Looker. Experience with designing self-service models, improving documentation, and creating workflows that are user-friendly for non-technical stakeholders. Ability to create well-organized, intuitive domain-specific ontologies or data models. Familiarity with data security best practices and legal requirements related to PII and PHI data. Nice-to-Haves: Experience collaborating with Data Science and Machine Learning teams. Experience building pipelines that support advanced analytics and ML workflows. Strong leadership skills with experience mentoring and developing engineering talent. Ability to manage ambiguity and work with cross-functional stakeholders to drive projects to completion. What Makes This Job Amazing: You’ll be helping millions of people lead healthier lives every day You’ll experience huge learning & professional growth opportunities. Noom believes in supporting you; we’ll cover the cost of books, courses, conferences… you name it! You’ll become part of our transparent, high-performing, and close-knit team We guarantee you will learn a tremendous amount in a short time. For those who value and excel in transparent, high-intensity, and high-impact environments, there is significant opportunity for advancement. Base Salary: The US base salary range for this full-time position is $179,000- $242,000. The range displayed on each job posting is based on Noom’s estimate as of the date of publication and reflects the minimum and maximum target for the position across all US locations. The actual placement of the candidate within the range is based on factors including but not limited to relevant experience, assessment of functional skills and behavioral competencies, and scope. This range is not inclusive of any discretionary bonus or equity package. Other Elements of the Rewards Package: Noom currently offers a comprehensive and generous total rewards package. This package generally includes discretionary performance-based bonus, stock awards, healthcare & retirement benefits, paid holidays, paid time off, disability benefits and various wellness programs, etc. Location: This position is a hybrid role, with 2 days a week on-site required in our Princeton, NJ office More About Noom:At Noom, we believe that the individual is the greatest force for good, not just in their health but in unlocking their fullest potential. We apply the same principles inside Noom. Across our dynamic organization, we empower our teams to execute on big ideas and we start and end each day with responsibility to make the world a healthier place. Fortune, Inc., Glassdoor, and Crain’s have all named Noom a Best Place to Work including being named on Fortune’s lists for Best Workplaces in New York, Best Workplaces in Technology, Best Workplaces for Women, and Best Workplaces for Millennials.
Noom is proud to be an Equal Opportunity Employer, and all applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, caste, national origin, physical or mental disability, protected veteran status, age, or any other characteristic protected by applicable law. Noom is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities. To request reasonable accommodation, please email accommodations-help@noom.com.
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