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Data Engineer

Remote / Online - Candidates ideally in
Dallas, Dallas County, Texas, 75215, USA
Listing for: Alkami-Technology
Remote/Work from Home position
Listed on 2026-05-07
Job specializations:
  • Software Development
    Data Engineer
Salary/Wage Range or Industry Benchmark: 90000 - 120000 USD Yearly USD 90000.00 120000.00 YEAR
Job Description & How to Apply Below
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.

Follow us on Glassdoor and Linked In!

The Data Engineer will build and maintain data lake and data warehousing solutions for a B2B multi-tenant SaaS solution. Position requires a demonstrated ability to write ETL transformations, query data, and write infrastructure as code. Knowledge of relational databases as well as cloud based databases and T-SQL.

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 oranother 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, deployment)
Awareness of release management processes and how data solutions are deployed via IaCSQL (SQL Server, Postgres) and Python Identify opportunities for process improvement as well as efficiency in solutions

Teamwork skills with a problem-solving attitude and willing to take a variety of approaches

Excellent analytical and time management skills

Good written and verbal communication skills, with demonstrated experience providing technical input to technical and non-technical stakeholders

Proven ability to work cross-functionally with engineering and product teams

Exposure to legacy data warehouse and ETL pipelines

Familiar with data architecture and data modeling for data warehousing and analytical purposes.

Ability to participate in on-call rotation

Preferred:

Experience with multi-tenant, B2B2C SaaS offerings

FinTech industry experience

Physical Demands:

Ability to lift a minimum of 5 pounds to a maximum of 10 pounds unassisted

Ability to stand, sit, stoop, walk, stretch, reach, and use full range of body motions

Manual dexterity as required for…
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