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Senior Data Engineer

The Challenge

At Digit, we are on a mission to make financial health effortless for everyone. We are building the world’s first intelligent bank account to help millions of American consumers become financially healthy. Our challenge is clear: managing personal finances is hard. As of 2019, 70% of Americans struggle with at least one aspect of financial stability and over 40% don’t have $400 in their savings account. We believe automation is our path to delivering our mission, and we are working towards it every day.

We have a collaborative, diverse, and supportive culture and we look for people who are curious, ambitious, and mission-driven. If you’re passionate about building something that’s never been built before and helping real people every day we’re excited to meet you!

The Role

We are looking for a Senior Data Engineer who is passionate about all things data to come help us build Digit’s data platform. In this role you will work on our Data Engineering team to own and build our data infrastructure to make Digit more data driven as we build an intelligent bank account. While Digit is headquartered in SF, this role is open to anyone, anywhere in the US and reports to the Engineering Manager of our Data Engineering team.

What You’ll Do:

  • Build, scale and manage Digit’s data platform including but not limited to our Kafka pipelines, Redshift and Delta Lake setups, and our Airflow and DBT deployments.
  • Collaborate with our data science and machine learning teams to power the ‘brains’ of our bank account and product teams to enable data driven product development.
  • Implement and control data access, governance and cataloging solutions for Digit’s data.
  • Brainstorm, plan and iterate on Digit’s data platform roadmap.
  • Advocate for industry standard data engineering practices for Digit’s data platform and products and champion their implementation and adoption.
  • Participate in team oncall and bug rotations.

Who You Are:

  • You have 2+ years of dedicated data engineering experience at scale.
  • You have experience building and working with both real-time and batch data pipelines. You can design and develop scalable data solutions with a long-term and growth mindset.
  • You have recent accomplishments working closely with relational as well as No-SQL data stores. You’re familiar with extracting data from different data stores and making it available for analytical and machine learning use cases in data lakes and warehouses.
  • You get excited to try out new technologies. You like to produce proof-of-concepts leveraging them to demonstrate if they can improve existing processes or systems.
  • You aren’t afraid to get deep into the weeds to manage, deploy and improve low level data infrastructure.
  • You operate with empathy when working with your stakeholders. You listen to them, speak your mind, ask the right questions and come up with optimal solutions for them.

Bonus Points If:

  • You have familiarity with the AWS ecosystem.
  • You are well-versed with Kafka and it’s stream processing frameworks.

Who We Are:

We want to eliminate the stress and anxiety people feel about their finances so they can focus on what’s most important in their lives. We first mastered saving for near-term goals, helping members automatically save over $6B in cumulative savings and prevented $170M in overdraft fees. Today, we are harnessing machine learning technology to give our members the first intelligent bank account that manages all of their personal finances.

We’re committed to doing the best work of our lives together. Come see if Digit is right for you.

What We Offer You:

  • Competitive salary and RSUs
  • 100% paid medical, dental, & vision benefits
  • 100% paid life & disability insurance
  • Fertility reimbursement
  • Daily lunch stipend
  • Internet, commuter, and wellness benefits
  • Take what you need PTO policy
  • 401k plan
  • Flexible, hybrid work environment

Digit is a proud equal opportunity employer and we believe that a diverse and inclusive workforce is an imperative. We welcome people of different backgrounds, genders, races, ethnicities, abilities, sexual orientations, and perspectives. We don’t discriminate based upon any protected class and we encourage candidates of all identities and backgrounds to apply. Digit considers qualified applicants regardless of criminal histories in accordance with the San Francisco Fair Chance Ordinance.

Digit is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at .





Job type



Data Engineering


AirflowAWSData pipelinesEngineering
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