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.
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.
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Respond to client tickets for changes, adds, or troubleshooting.
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Monitor, troubleshoot, and optimize data pipelines in Databricks using SQL and PySpark
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Troubleshoot and resolve client data issues, collaborating with engineers and Service Delivery Managers
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Analyze root causes of recurring issues and implement long-term solutions
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Support Power BI developers with well-structured data models for reporting
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Partner with clients to understand technical problems and translate them into solutions
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Document fixes, enhancements, and best practices for both internal and client use
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Contribute to process and product improvements based on client feedback
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Strong SQL skills and proficiency with Databricks or similar data platforms
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Experience with data pipeline development, Python, ETL/ELT, and medallion architectures
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Solid understanding of data modeling principles (fact/dim tables, performance optimization)
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Demonstrated ability to troubleshoot complex technical issues for end users or clients
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Strong written and verbal communication skills for technical and non-technical audiences
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Proven ability to work independently while supporting collaborative problem-solving
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Must be comfortable communicating and working with clients directly to clairify requirements or troubleshoot solutions. This is not a sit and program all day type of job.
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Familiarity with credit union or banking systems (e.g., Symitar, Temenos, MeridianLink, general ledger)
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Experience supporting Power BI data models and DAX logic
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Experience working in client-facing or professional services roles
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Enjoy solving challenging data engineering problems while supporting clients
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Communicate clearly and professionally with both technical and business stakeholders
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Are comfortable working in a fast-paced, remote-first environment
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Take ownership of problems and drive them to resolution
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Value collaboration, but can self-direct when needed
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Must be authorized to work in the United States without sponsorship
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Fully remote position within the US; occasional travel (less than ten percent) for team or client meetings
