Data Platform Engineer II

Russell Investments

Data Platform Engineer II designing Snowflake, Azure, and ETL platforms for Russell Investments. Building investment-data pipelines, warehouses, and BI solutions supporting enterprise analytics and reporting.

Posted 8/7/2026full-timeSeattle • New York, Washington, Wisconsin • 🇺🇸 United StatesMid-LevelSenior💰 $105,000 - $130,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and optimizing scalable data platforms, with a strong focus on data engineering practices, ETL frameworks, and cloud-native tools. Proficient in data governance, quality management, and collaboration with cross-functional teams in the finance domain.

Highest-signal resume keywords

Data Engineering ExperienceSnowflake AdministrationETL FrameworksSQL ExpertiseFinance Domain Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentData TransformationSQLPythonETL ToolsData GovernanceMetadata ManagementPerformance TuningData WarehousingBusiness Intelligence Solutions

Soft Skills

Analytical MindsetAttention to DetailCross-Functional CollaborationMentoring

Tools & Technologies

SnowflakePower BITableauCognosDbtFiveTranCensusSQL ServerASP.NET CoreWeb APIs

Certifications & Qualifications

Bachelor's Degree in Computer ScienceAdvanced Degree Preferred

Industry Keywords

Finance DomainInvestment ManagementData VendorsSecurity MastersReference DataPerformance AnalyticsAsset ClassesInvestment Data

Tech Stack

Tools & technologies

ASP.NETCloudCognosEntity FrameworkETLJavaScript.NETPythonSDLCSQLTableau

About the role

Key responsibilities & impact

Lead the design, development, and optimization of scalable data platforms for enterprise warehousing, analytics, and reporting
Design, develop, and maintain end-to-end distributed data pipelines
Build scalable data transformation for enterprise data ingestion, transformation, and loading using 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 such as Tableau and Cognos
Develop and enforce data quality, data governance, and metadata management practices
Partner with data architects, analysts, and business stakeholders to translate data requirements into technical solutions
Maintain documentation and follow SDLC and DevOps best practices
Mentor junior engineers, promote best practices, and drive continuous improvement in data engineering standards and platform reliability

Requirements

What you’ll need

3–5+ years of Data Engineering experience required
Prior experience working in the finance domain, such as an investment bank, asset management firm, or hedge fund
Bachelor's degree in computer science, mathematics, statistics, or a related engineering field required
Advanced degree preferred
Hands-on experience with Snowflake, dbt, FiveTran/Census, and other ETL tools
Expertise in SQL and Python or other scripting languages
Working knowledge of investment data vendors and datasets, including Bloomberg, MSCI, Compustat, Worldscope, I/B/E/S, FTSE/Russell, and IDC
Understanding of investment management data domains, including security masters, reference data, indexes, positions, trades, performance, and analytics across asset classes
Strong analytical mindset and attention to detail
Comfort working in cross-functional settings with business and technology teams
Experience with C#, .NET, ASP.NET Core, Entity Framework, SQL Server, JavaScript, service-oriented architecture, Web APIs, and frontend frameworks is a plus
Must be legally authorized to work in the United States without employer sponsorship, now or in the future

Benefits

Comp & perks

Annual performance bonus, subject to eligibility criteria
Healthcare programs
Retirement programs
Vacation programs
Wellbeing programs