Data Engineer to assist with client support

About Gemineye

Gemineye works with financial institutions to build a roadmap to success with data analytics. At Gemineye we believe that every organization – no matter their size – can become data-driven. Whether you are a $200 million credit union or a $10 billion institution, every organization has the ability to become data-driven. You don’t need to be the size of Facebook, Amazon, Netflix, or Google to leverage the power of data and analytics. How do we help? Our industry-leading Gemineye Lakehouse delivers a powerful pre-built analytics platform for credit unions of any size. A robust reporting suite and the fastest time-to-implementation in the market delivers immediate results for credit unions who demand the most from their analytics program.

Description

About the Role

You will be a data engineer who plays a critical role in supporting Gemineye’s clients. This position blends deep technical skills in data engineering with direct client interaction. You’ll maintain and troubleshoot data pipelines, while also ensuring client-reported issues are resolved quickly and effectively. This is a hands-on engineering role that requires both technical excellence and strong communication.

Who We Are

We help financial institutions unlock insights through data. We’re a fast-growing analytics company that values ownership, transparency, and execution. You’ll have real responsibility, real impact, and a great team to grow with.

What You’ll Do

Monitor, troubleshoot, and optimize data pipelines in Databricks using SQL and PySpark
Troubleshoot and resolve client data issues, collaborating with engineers and Service Delivery Managers
Analyze root causes of recurring issues and implement long-term solutions
Support Power BI developers with well-structured data models for reporting
Partner with clients to understand technical problems and translate them into solutions
Document fixes, enhancements, and best practices for both internal and client use
Contribute to process and product improvements based on client feedback

Must-haves in a Candidate

Strong SQL skills and proficiency with Databricks or similar data platforms
Experience with data pipeline development, Python, ETL/ELT, and medallion architectures
Solid understanding of data modeling principles (fact/dim tables, performance optimization)
Demonstrated ability to troubleshoot complex technical issues for end users or clients
Strong written and verbal communication skills for technical and non-technical audiences
Proven ability to work independently while supporting collaborative problem-solving

Nice to Have in a Candidate

Familiarity with credit union or banking systems (e.g., Symitar, Temenos, MeridianLink, general ledger)
Experience supporting Power BI data models and DAX logic
Experience working in client-facing or professional services roles

You Thrive Here If You…

Enjoy solving challenging data engineering problems while supporting clients
Communicate clearly and professionally with both technical and business stakeholders
Are comfortable working in a fast-paced, remote-first environment
Take ownership of problems and drive them to resolution
Value collaboration, but can self-direct when needed

Details

Must be authorized to work in the United States without sponsorship
Fully remote position within the US; occasional travel (less than ten percent) for team or client meetings

The Knowlton Group, LLC

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