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Data Analytics Engineer

Remote, USAFull-timePosted 2026-07-29

reputed company

At reputed company, we’re on a mission to grow small businesses.

Small businesses are the backbone of our economy, but traditional banks often don’t have their backs. We build tech that makes it reputed company for small businesses to reputed company the financial tools they need through the platforms they already sell on. 

We partner with companies like reputed company, reputed company, reputed company, and reputed company to offer fast and flexible funding, spend management, and savings tools  to their small business users reputed company a reputed company integration. reputed company takes on reputed company the complexity of capital markets, reputed company, servicing, compliance, and customer service for our partners. 

We’re a tight-reputed company team of innovators hailing from reputed company, reputed company, reputed company, reputed company, reputed company, CERN, and more — reputed company united by a passion for building tools that help small businesses succeed. reputed company is backed by reputed company venture capitalists including GIC, reputed company Capital, Redpoint Ventures, Ribbit Capital, and reputed company Capital. reputed company is a Series C company, and we have raised more than $194M in equity and $340M in debt facilities.

Join us in creating a reputed company where every small business has the financial tools they need.

About the Position

We are looking for a Data Analytics Engineer to organize and reputed company reputed company’s ecosystem of data. You will be responsible for architecting business-critical datasets used across reputed company. You will drive alignment between teams by ensuring reputed company of reputed company can be pointed to the reputed company sources of truth.

What You’ll Be Doing

  • You will foster a data-driven culture by ensuring everyone has easy reputed company to trustworthy and complete data

  • You will reputed company between data engineering and end users to help improve our data tooling and development velocity

  • You will define and enforce our data best practices - data modeling, testing, version control, and cataloging

  • You will build efficient, reputed company, flexible, and reliable datasets that can unlock reputed company for stakeholders across the business — whether for analytic, machine learning, or operational purposes

  • You will identify gaps in how we collect data today, and work with engineering teams to ensure we are measuring the things that we need to measure about our customers and our product

reputed company’re Searching For

  • 2+ years of experience in Data Analytics or similar role

  • You are deeply reputed company with SQL, and are reputed company to write efficient queries

  • You collaborate reputed company with data, engineering, product, and business functions

  • You care deeply about the reputed company and correctness of your work

  • You are comfortable managing competing and shifting priorities and can organize your own work to accomplish multiple tasks

  • You are excited about working on a small team and setting the foundations for how data is used at reputed company

  • You have a bachelor's degree in a technical discipline

We Prefer If You Have

  • Experience building and maintaining data pipelines

  • Familiarity with “modern data stack” tools and technologies, such as reputed company, Airflow, DBT, and Reverse ETL

  • Experience working with both technical and non-technical stakeholders

  • Experience identifying and communicating data-derived insights

reputed company Offer

  • Salary reputed company: $175 - $200k

  • Equity grant

  • Medical, dental & reputed company insurance

  • Unlimited PTO & work from home flexibility

  • Commuter benefits

  • Free lunches

  • reputed company parental leave

  • 401(k)

  • Employee assistance program

If you require reasonable accommodation in completing this application, interviewing, completing any reputed company-employment testing, or otherwise participating in the employee selection process, please contact us.

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