Russell

Data Platform Engineer II

Seattle

Pay: USD 105,000–130,000/yearAnnual period assumed — pay source
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.
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Work setting: Not stated
Employment: Not stated

Before you apply

Sponsorship: Visa sponsorship not confirmed — sponsorship source
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.
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What you’ll work on

Full posting

Design and maintain end-to-end distributed data pipelines for analytics and reporting
Architect and administer Snowflake warehouses, including tuning and security
Build scalable BI solutions in Power BI or other reporting tools
Develop and enforce data quality, governance, and metadata management practices
Translate business data requirements into technical solutions with stakeholders

From the employer’s posting

Design, develop, and maintain end-to-end distributed data pipelines to support analytics, reporting, and operational workflows.

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)

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.

Education & alternatives

- Prior experience of working in Finance domain - 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

Tools in this posting

C#
JavaScript
Python
SQL
Azure
Census
dbt
Fivetran
Power BI
Snowflake
SQL Server
Tableau

Source

- 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 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.

- Hands-on experience with Snowflake, dbt, FiveTran/Census and other ETL tools - Expertise in SQL, Python or other scripting languages - Working knowledge investment data vendors such Bloomberg, MSCI, Compustat, Worldscope, I/B/E/S, FTSE/Russell, IDC and other similar datasets

This role requires working on-site four days per week at our New York, Seattle, or Milwaukee office. 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. Your Core Responsibilities:

- 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

- 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.

- 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.

Posting record

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Open 3 monthsWe first saw this posting 109 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records: Live
First seen by us: Jul 12, 2026 · 109 days ago
Recorded sightings: 69
Last seen by us: Oct 30, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

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Job description

View original posting ↗

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:

This role requires working on-site four days per week at our New York, Seattle, or Milwaukee office.

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.

Your 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.

Your Expertise

3+ years of Data Engineering experience required

Prior experience of working in Finance domain

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 investment data vendors such 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

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.

Source details

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Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay: 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.
Location & working pattern: Seattle
Job Description: This role requires working on-site four days per week at our New York, Seattle, or Milwaukee office. 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.
Work authorization: - Experience with C#, .NET, ASP.NET Core (MVC + Web API), Entity Framework, SQL Server, JavaScript, Service-Oriented Architecture, Web APIs, Frontend frameworks a plus 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.

Open source at russell.wd5.myworkdayjobs.com ↗Read the full description ↓

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