Data Engineer - Alkami Technology, Inc.

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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Essential Duties & Responsibilities

• Participate in the entire data pipeline lifecycle, focusing on building data lakes, data warehouses and related processes ● Pair with Sr team members on design and code reviews. ● Write clean code to develop data pipelines and necessary infrastructure as code ● Collaborate with internal teams to understand requirements and effectively accomplish assigned tasks. ● Monitor and troubleshoot performance, scalability, and security issues, making improvements as needed ● Participate in the evaluation of new technologies and tools that can improve performance of our system ● Gather technical and design requirements from internal and external stakeholders ● Communicate effectively with technical and non-technical team members to ensure alignment and successful execution of projects. ● Participate in cross-functional initiatives, promoting a culture of data-driven decision-making and continuous improvement.

● Participate in an on-call rotation

Recommended Experience & Education:

Minimum Years of Experience-Typically requires a minimum of 3 years of related experience; or an advanced degree

Education Level Bachelor’s degree in engineering, computer science, math, data engineering or

another related field or equivalent work experience

Knowledge, Skills, & Qualifications Required:

• Requires 5 years of related experience in cloud native data offerings and data lakes in a cloud environment ● Experienced with relational databases (Postgres, SQL Server) and data modeling principles ● In-depth knowledge of the entire data engineering process (design, development, deplo