Data Engineer

Data Engineer- GP Fund Solutions

Where Data Meets Decision-Making. We turn numbers into insights that drive client success.

Join GP Fund Solutions (GPFS) - a people-first fund administrator serving clients across the US, UK, and EU. We offer a collaborative culture, real career growth, and benefits that invest in your future.

What You'll Do:

• Assist with the development and maintenance of the core data warehouse structure and help with the transition to a lakehouse. • Help evaluate existing Snowflake workloads and identify candidates for migration, optimization, or hybrid operation. • Identify performance issues and assist with solution plans. • Assist with the development and maintenance of dbt models across staging, intermediate, mart, and semantic layers, following established project structure, testing, and documentation standards. • Help build and maintain data pipelines that ingest data from source systems into Snowflake, collaborating with platform and analytics teams on requirements and priorities. • Write and optimize SQL transformations for performance, readability, and maintainability within Snowflake. • Contribute to data quality and reliability efforts, including schema validation, source freshness checks, row-level testing, and pipeline monitoring. • Participate in CI/CD processes for data, including automated testing, code review, and deployment practices using Git-based workflows. • Contribute to Snowflake and cloud infrastructure configuration, including warehouse sizing, access patterns, and integration with surrounding services, under the guidance of senior engineers. • Support orchestration workflows and data pipeline scheduling, helping ensure pipelines run reliably and recover gracefully from failures. • Participate in design reviews, offering input on implementation approaches and learning from senior engineers' architectural decisions. • Troubleshoot and resolve pipeline and data quality issues, conduct root cause analysis and implement fixes. • Document work clearly, including data models, pipelines, and operational runbooks, so the broader team can understand and maintain what you build.
What We're Looking For:

• 3+ years of experience in data engineering, analytics engineering, or a closely related technical field. • Hands-on experience with Snowflake, including writing performant SQL, understanding warehouse behavior, and working with Snowflake's access and security model. • Understanding of dimensional modeling, data marts, data quality controls, and enterprise reporting needs. • Hands-on experience with dbt, including building and testing models, using macros, and following layered project structures. • Solid understanding of data modeling concepts, including dimensional modeling and common transformation patterns. • Proficiency in SQL for analytical and transformation workloads, including debugging and performance along with familiarity with common tools and practices used to do so. • Experience with Git-based version control and collaborative development workflows. • Familiarity with building or supporting data pipelines for analytics and/or AI/ML use cases. • Exposure to CI/CD practices for data, cloud infrastructure, and orchestration tooling.
Why GPFS?

• Strong training plans and materials provided. • Competitive Medical, Dental & Vision Insurance. • Company-Paid Life Insurance & 401(k). • Generous PTO, Sick Time & Paid Holidays. • Hybrid Scheduling after probation period. • Inclusive, team-oriented culture where people come first.
At GPFS, every voice matters and every win is shared. We're raising the bar in our industry-come grow with us!

LI-GP1

GP Fund Solutions

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