Senior Data Pipeline Engineer

About NumeralHQNumeral is building the automation backbone for internet commerce — starting with the painful world of sales tax compliance. We handleeverythingfrom registration to remittance, delivering a white-glove service so e-commerce businesses can stay laser-focused on what they do best: growing their products, customers, and teams. We’re one of the fastest-growing companies from Y Combinator’s W23 batch, backed by top-tier investors including Benchmark Capital. Our team has deep roots from the early days at Stripe, Airbnb, Notion, and other breakout companies — and now we’re bringing that same level of craft, speed, and ambition to a space that’s long overdue for reinvention. Numeral is small but mighty. Growth is alreadyborderline unmanageable — which means every hire we make now will directly shape the trajectory of the company. If you’re excited about joining as an early team member and want the kind of ownership that defines careers, we want to meet you. MissionRunning an online business today means wearing a thousand hats — most of themnotthe reason founders started their company. Our mission is to eliminate the administrative and accounting burdens that distract businesses from doing what they love. We’ve already helped hundreds of merchants avoid the headache of building giant finance teams just to manage tax compliance. Tomorrow, we’re scaling that impact even further: building the automation layer that lets internet businesses stay nimble, compliant, and future-proof. About the role:We are looking for a Data Software Engineer to join our founding engineering team. You will help architect, build, and scale the core data systems that power Numeral. This is a foundational role with direct impact on how our product scales, how we handle complex datasets, and how we deliver value to customers.Responsibilities:Design, implement, and scale robust data pipelines using tools like Python, dbt, PostgreSQL, and SnowflakeBuild and optimize data infrastructure to support analytics, reporting, and product featuresCollaborate closely with backend engineers, product managers, and operations to ensure data flows are accurate, reliable, and scalableDevelop tools and frameworks to automate data quality checks, monitoring, and validationContribute to engineering best practices, documentation, and team processes as an early team memberQualifications:6+ Strong experience building and maintaining data infrastructure and pipelinesProficiency with Python and SQLFamiliarity with data warehouse tools (e.g., Snowflake) and transformation tools (e.g., dbt)Experience working with cloud infrastructure, preferably AWSAbility to thrive in a fast-paced startup environment, with a bias for ownership and actionExcellent problem-solving and communication skillsBonus Points For:Prior experience in fintech, e-commerce, or tax/accounting domainsExperience working in an early-stage startupFamiliarity with CI/CD pipelines and data observability toolsWhy Join Us?Be a core builder in an ambitious, globally minded startup.Learn hands-on how to scale international compliance systems.Enjoy a flexible, remote-first culture with strong mentorship and ownership opportunities.J-18808-Ljbffr

Created: 2025-09-29