Russell Investments

Data Platform Engineer II

Seattle · Mid

No sponsorshipDetected 12 days ago

JavaScriptPythonC#.NETSQLSnowflakeAzureDevOpsPlatform EngineeringdbtData EngineeringData VisualizationStatisticsMentoring

About the role

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.

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.
You will collaborate closely with data architects, analysts, and business stakeholders to deliver high-performance, cost-effective data solutions that align with organizational goals.
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.
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.

Bachelor's degree in computer science, Mathematics, Statistics, or related engineering field required. Advanced degree preferred.
Experience with C#,.NET, ASP.NET Core (MVC + Web API), Entity Framework, SQL Server, JavaScript, Service-Oriented Architecture, Web APIs, Frontend frameworks a plus

Architect and administer Snowflake data warehouses, including performance tuning, resource management, and security configurations.
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
W orking knowledge investment data vendors such Bloomberg, MSCI, Compustat, Worldscope, I/B/E/S, FTSE/Russell, IDC and other similar datasets

$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.

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.

This listing is sourced directly from Russell Investments's careers page and normalized into a canonical job model.