Data Engineer

GP Fund Solutions, LLC.; New York (NY); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical, Dental & Vision Insurance

Company-Paid Life Insurance

401(k)

Generous PTO, Sick Time & Holidays

Job summary

GP Fund Solutions helps turn numbers into insights that drive client success. We’re a fund administrator serving clients across the US, UK, and EU, with a people-first culture, strong growth, and substantial benefits.

You will join a hybrid team building and maintaining data warehouses and lakehouse transitions, optimizing Snowflake workloads, and developing robust data pipelines. As a data engineer, you’ll develop dbt models, write efficient SQL, participate in CI/CD for data, and contribute to

Qualifications

• 3+ years of experience in data engineering, analytics engineering, or a closely related technical field.
• Hands-on Snowflake experience with performant SQL and secure access controls.
• Familiarity with dbt modeling and layered project structures.

Responsibilities

• Assist with development and maintenance of core data warehouse structures and help with the transition to a lakehouse.
• Help evaluate Snowflake workloads and identify candidates for migration, optimization, or hybrid operation.
• Identify performance issues and assist with solution plans.
• Assist with 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.

Skills

Data engineering

SQL

dbt

Snowflake

Git workflows

CI/CD for data

Dimensional modeling

Data quality controls

Tools

Snowflake

dbt

Git

Job description

GP Fund Solutions

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!