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
Skills Required
- 3+ years of experience in data engineering, analytics engineering, or a closely related technical field
- Hands-on experience with Snowflake, including performant SQL and warehouse behavior
- Hands-on experience with dbt, including building and testing models and using macros
- Proficiency in SQL for analytical and transformation workloads, including debugging and performance tuning
- Experience with Git-based version control and collaborative development workflows
- Understanding of dimensional modeling, data marts, and data quality controls
- 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
What We Do
We are the fund administrator of choice for a wide range of customers in the US, UK and EU. Every day, with every decision and every client interaction, our values serve as guideposts, improve the quality of our work, and strengthen our employee and client relationships. We are building the best culture in the business. As a business that is all about people, culture isn’t just an initiative - it’s an innate value that’s critical to every decision we make. Here at GPFS, people come first. We do well and do good. Doing the right thing—both by our team members and within the communities in which we operate—has been at the core of our beliefs, and a primary factor of our success. We hold ourselves to higher standards. Our people and a deeply-rooted culture of learning drives our ability to consistently deliver the highest quality work and relationships. We are driven by technology. At the heart of our services is a group of alternative investment experts powered by an industry-leading technology platform and data analytics.
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