Data Platform Engineer II

Russell Investments; Seattle (WA); On-site; USD 105,000 - 130,000; Full time

Job summary

Russell Investments is seeking a Data Platform Engineer to lead design, development, and optimization of scalable data platforms supporting warehousing, analytics, and reporting. You will leverage Azure cloud services and Snowflake to architect robust pipelines, ensure data quality, and enable seamless integration across systems.

You will mentor junior engineers, promote best practices, and drive continuous improvement in data engineering standards and platform reliability.

Qualifications

• 3–5+ years of Data Engineering experience.
• Finance/investment management domain experience.
• Bachelor’s degree in CS/Math/Stats/Engineering; advanced degree preferred.
• Hands-on Snowflake, dbt, FiveTran/Census and other ETL tools.
• SQL and Python or other scripting languages.
• Investment management data domain knowledge.
• Strong analytical mindset; detail oriented.
• Cross-functional collaboration with business and tech teams.
• Experience with C#, .NET, ASP.NET Core, Web APIs and JS is a plus.

Responsibilities

• Design, develop, and maintain end‑to‑end distributed data pipelines for analytics, reporting, and workflows.
• Build scalable data transformations for ingestion, transformation, and loading using modern ETL frameworks and cloud-native tools.
• Architect and administer Snowflake data warehouses, including performance tuning and security configurations.
• Design and develop scalable BI solutions using Power BI or Tableau, including data modeling and visualization.
• Develop and enforce data quality, governance, and metadata management practices.
• Partner with data architects, analysts, and business stakeholders to translate data requirements into technical solutions.
• Maintain documentation and adhere to SDLC and DevOps best practices.

Skills

Data engineering

SQL

Python

Cross-functional collaboration

Analytical mindset

Education

Bachelor’s degree in CS/Math/Stats/Engineering

Tools

Snowflake

dbt

FiveTran/Census

SQL Server

C#

.NET

ASP.NET Core

Web APIs

Power BI

Job description

Salary Range: $105,000 USD - $130,000 USD. Specific compensation will be based on candidate’s experience, skills, qualifications, commercial considerations, and other job‑related factors permitted by law. At Russell Investments, salary is just one part of our compensation package. Our total rewards approach includes an annual performance bonus (subject to eligibility criteria) in addition to participation in our competitive benefits programs including healthcare, retirement, vacation, and wellbeing programs.

Job Description

As a Data Platform Engineer, you will lead the design, development, and optimization of scalable data platforms that support enterprise‑level warehousing, analytics and reporting. Leveraging your deep expertise in ETL technologies, Azure cloud services, and Snowflake, you will architect robust data pipelines, ensure data quality, and enable seamless data integration across systems. You will collaborate closely with data architects, analysts, and business stakeholders to deliver high‑performance, cost‑effective data solutions that align with organizational goals. Your role will also involve mentoring junior engineers, promoting best practices, and driving continuous improvement in data engineering standards and platform reliability.

Core Responsibilities

• Design, develop, and maintain end‑to‑end distributed data pipelines to support analytics, reporting, and operational workflows.
• Build scalable, modular, and efficient data transformation to optimize enterprise level data ingestion, transformation, and loading processes using modern ETL frameworks and cloud‑native tools.
• Architect and administer Snowflake data warehouses, including performance tuning, resource management, and security configurations.
• Design and develop scalable BI solutions using Power BI or other reporting tools (Tableau, Cognos), including data modelling, transformation, visualization, and performance optimization to deliver actionable insights.
• Develop and enforce data quality, data governance, and metadata management practices.
• Partner with data architects, analysts, and business stakeholders to understand data requirements and translate them into technical solutions.
• Maintain strong documentation and adhere to SDLC and DevOps best practices.

Expertise

• 3-5+ years of Data Engineering experience required.
• Prior experience of working in Finance domain (Investment bank, Asset Management firm, Hedge Fund).
• Bachelor’s degree in computer science, Mathematics, Statistics, or related engineering field required. Advanced degree preferred.
• Hands‑on experience with Snowflake, dbt, FiveTran/Census and other ETL tools.
• Expertise in SQL, Python or other scripting languages.
• Working knowledge of investment data vendors such as Bloomberg, MSCI, Compustat, Worldscope, I/B/E/S, FTSE/Russell, IDC and other similar datasets.
• Understanding of Investment Management data domains including Security Masters, Reference data, Indexes, Positions (IBOR, ABOR, trades), Performance and Analytics across different asset classes.
• Strong analytical mindset and attention to detail.
• Comfort working in cross‑functional settings with business and tech teams.
• Experience with C#, .NET, ASP.NET Core (MVC + Web API), Entity Framework, SQL Server, JavaScript, Service‑Oriented Architecture, Web APIs, Frontend frameworks a plus.

Immigration

This role is not eligible for employment‑based immigration sponsorship. Applicants must be legally authorized to work in the United States without employer sponsorship, now or in the future.

Equal Employment Opportunity

Russell Investments is committed to providing equal employment opportunities for all associates and employment applicants regardless of race, religion, ancestry, creed, color, gender (including gender identity which refers to a person's actual or perceived sex, and includes self‑image, appearance, behavior or expression, whether or not different from that traditionally associated with a person's biological sex), age, national origin, citizenship status, disability, medical condition, military status, veteran status, marital status, sexual orientation, past or present unemployment status , or any other characteristic protected by law.