Pomelo Care is a multi-disciplinary team of clinicians, engineers and problem solvers who are passionate about improving care for moms and babies. We are transforming outcomes for pregnant people and babies with evidence-based pregnancy and newborn care at scale. Our technology-driven care platform enables us to engage patients early, conduct individualized risk assessments for poor pregnancy outcomes, and deliver coordinated, personalized virtual care throughout pregnancy, NICU stays, and the first postpartum year. We measure ourselves by reductions in preterm births, NICU admissions, c-sections and maternal mortality; we improve outcomes and reduce healthcare spend. What you'll do As a Senior Software Engineer on our Core Data team, you will take a leading role in building and scaling the data infrastructure that powers Pomelo's data-driven insights and product features. You will be a technical leader and a mentor to others, responsible for reducing the company's time to insight. On any given day, you may: * Build and maintain elegant data pipelines that orchestrate ingestion from diverse sources and normalize data for company-wide consumption * Lead the design and development of robust, scalable data infrastructure that enables our clinical and product teams to make data-driven decisions, using dbt, Dagster, Beam and Dataflow * Write clean, performant SQL and Python to transform raw data into actionable insights that power our platform * Architect data models and transformations that support both operational analytics and new data-driven product features * Mentor other engineers, providing technical guidance on data engineering best practices and thoughtful code reviews, fostering a culture of data excellence * Collaborate with product, clinical and analytics teams to understand data needs and ensure we are building infrastructure that unlocks the most impactful insights * Optimize data processing workflows for performance, reliability and cost-effectiveness Who you are You're a Seasoned, Product-minded Data Engineer Who Is Comfortable With Ambiguity And Proactively Identifies Opportunities To Unlock Business Value Through Better Data Infrastructure. You Understand That Great Data Engineering Enables Everyone Else To Move Faster And Make Better Decisions. In Particular, You * Have 5+ years of experience building high-quality, scalable data systems and pipelines * Have expert-level proficiency in SQL and Python, with a deep understanding of data modeling and transformation best practices * Have hands-on experience with dbt for data transformation and Dagster, Beam, Dataflow or similar tools for pipeline orchestration * Have experience with modern data stack tools and cloud platforms, with a strong understanding of data warehouse design principles * Have a track record of delivering elegant and maintainable solutions to complex data problems that drive real business impact * Have experience building data infrastructure that supports AI/ML workloads or real-time analytics * Have previously worked in a fast-paced, product-oriented environment where data drives key decisions * Have experience with healthcare data, including understanding of data privacy and compliance requirements Why you should join our team By joining Pomelo, you will get in on the ground floor of a fast-moving, well-funded, and mission-driven startup that always puts the patient first. You will learn, grow and be challenged -- and have fun with your team while doing it. We strive to create an environment where employees from all backgrounds are respected. We also offer: * Competitive healthcare benefits * Generous equity compensation * Unlimited vacation * Membership in the First Round Network (a curated and confidential community with events, guides, thousands of Q&A questions, and opportunities for 1-1 mentorship) At Pomelo, we are committed to hiring the best team to improve outcomes for all mothers and babies, regardless of their background. We need diverse perspectives to reflect the diversity of problems we face and the population we serve. We look to hire people from a variety of backgrounds, including but not limited to race, age, sexual orientation, gender identity and expression, national origin, religion, disability, and veteran status.