Senior Data Engineer - Snowflake, Lakehouse & Pipelines

GP Fund Solutions; Latham (NY); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical, Dental & Vision Insurance

Company-Paid Life Insurance & 401(k)

Generous PTO & Paid Holidays

Hybrid Scheduling

Job summary

GP Fund Solutions is seeking a Senior Data Engineer to advance our data platform. You will design and maintain the data warehouse, transition towards a lakehouse, and optimize Snowflake workloads. Collaboration with analytics teams will shape data models and pipelines for decision-making.

You will implement dbt models, CI/CD practices, and robust data quality checks, supporting scalable analytics and AI/ML use cases. Hybrid work after probation and strong growth opportunities await.

Qualifications

• 5+ years of data engineering, analytics engineering, or related field.
• Strong Snowflake experience including SQL, access controls, and warehouse behavior.
• Proficiency with dbt, modeling, testing, and project structures.
• Solid data modeling knowledge including dimensional modeling and data marts.
• Experience building and optimizing data pipelines and ETL/ELT processes.
• Familiarity with Git-based workflows and CI/CD for data and cloud infra.

Responsibilities

• Develop and maintain data warehouse, transition to lakehouse.
• Evaluate Snowflake workloads for migration or optimization.
• Build dbt models across staging, intermediate, mart, and semantic layers.
• Create and maintain data pipelines ingesting data into Snowflake.
• Write optimized SQL for transformations and performance.

Skills

Snowflake

SQL

dbt

Data Modeling

ETL/ELT

CI/CD

Git

Data Pipelines

Cloud Infrastructure

Tools

Snowflake

dbt

SQL

Job description

GP Fund Solutions is seeking a Senior Data Engineer to advance our data platform. You will design and maintain the data warehouse, transition towards a lakehouse, and optimize Snowflake workloads. Collaboration with analytics teams will shape data models and pipelines for decision-making.

You will implement dbt models, CI/CD practices, and robust data quality checks, supporting scalable analytics and AI/ML use cases. Hybrid work after probation and strong growth opportunities await.