Staff Data Engineer

Company: Alkami Technology

Location: Remote (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-04-20

About this role

Alkami is the digital sales and service platform provider for U.S. banks and credit unions. Our unified Platform integrates onboarding, digital banking, and data and marketing—each solution can stand alone, but together they deliver more—to help institutions onboard, engage, and grow relationships. As the future shifts toward Anticipatory Banking, we help data-informed bankers meet the moment with technology that drives action.

Founded in 2009, we continue to be recognized for our intentional culture and tremendous growth (Best Place to Work in Fintech; Best & Brightest to Work For Nationally; and Comparably’s Best Company Culture, Best Career Growth, Best Engineering Team, and Best Places to Work in Dallas, among others). We’re building a culture where each Alkamist can perform to their highest potential, and we’re always on the lookout for the best and brightest minds. If you’re ready to experience the power of alchemy - transforming the ordinary into the extraordinary - come join one of the fastest growing SaaS companies in the U.S.

As a remote-first company, most of our positions can be remote in the US, except for key roles, which will be indicated in the Job Title.

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The Staff Data Engineer will architect, build, and maintain data lake and data warehousing solutions for a B2B multi-tenant SaaS solution. Position requires a demonstrated ability to design processes from end to end and a strong technical understanding of modern data pipelines and strategies. In depth knowledge
of multiple data sources, data design patterns, ETL transformation, SQL and performance tuning are required. Ability to train and mentor team members and collaborate with cross functional team members.

Essential Duties & Responsibilities:

  • Participate in the entire data pipeline lifecycle, focusing on building data lakes, data warehouses and related processes
  • Contribute to the design and documentation of our data lake platform
  • Partner with...

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