Data Platform Engineer II: Snowflake & Azure Analytics

Russell Investments; Milwaukee (WI); On-site; USD 105,000 - 130,000; Full time

Job summary

Russell Investments is seeking a Data Platform Engineer to design, build, and optimize scalable data platforms for enterprise analytics and reporting. You will lead end-to-end data pipelines, leverage Snowflake and ETL tooling, and collaborate with data architects and stakeholders to deliver data solutions that drive insights.

You will mentor junior engineers, promote best practices, and contribute to data governance and platform reliability in a finance-focused environment.

Qualifications

• 3-5+ years of Data Engineering experience.
• Finance domain experience (Investment bank, Asset Management, Hedge Fund) is preferred.
• Bachelor’s degree in computer science, mathematics, statistics, or related field; advanced degree preferred.
• Hands-on with Snowflake, dbt, FiveTran/Census and other ETL tools.
• Expertise in SQL and Python (or other scripting languages).
• Familiarity with investment data vendors and datasets (Bloomberg, MSCI, Compustat, Worldscope, etc.).
• Understanding of Investment Management data domains including securities, positions, performance, and analytics.
• Strong analytical mindset and attention to detail; cross-functional collaboration.

Responsibilities

• Design, develop, and maintain end-to-end distributed data pipelines supporting analytics and reporting.
• Build scalable, modular data transformations for enterprise data ingestion, transformation, and loading.
• Architect and administer Snowflake data warehouses with performance tuning and security.
• Design and develop BI solutions using Power BI (and other tools) including data modeling and visualization.
• Develop data quality, governance, and metadata management practices.
• Collaborate with data architects, analysts, and stakeholders to translate data requirements into solutions.
• Maintain documentation and adhere to SDLC and DevOps practices.

Job description

Russell Investments is seeking a Data Platform Engineer to design, build, and optimize scalable data platforms for enterprise analytics and reporting. You will lead end-to-end data pipelines, leverage Snowflake and ETL tooling, and collaborate with data architects and stakeholders to deliver data solutions that drive insights.

You will mentor junior engineers, promote best practices, and contribute to data governance and platform reliability in a finance-focused environment.