Data Platform Engineer II
At a glance
Mid-level Data Engineering role at Russell Investments. Seattle · $105,000–$130,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Build and maintain distributed pipelines that feed analytics, reports and operational processes
- Shape modular data transformations to improve enterprise ingestion, processing and loading with ETL and cloud tools
- Configure Snowflake warehouses, managing performance, compute resources and security settings
- Create BI solutions in Power BI or other listed reporting tools, from data models through visualizations
- Set data quality, governance and metadata practices, and turn stakeholder needs into technical solutions
What you bring
- At least three years in data engineering, with prior work in finance
- A bachelor's degree in computer science, mathematics, statistics or a related engineering discipline
- Practical experience with Snowflake, dbt, FiveTran or Census, plus ETL tools
- Strong SQL and Python or another scripting language skills
Who this fits
This mid-level role suits an engineer who can work with data architects, analysts and business partners, and mentor junior engineers. You must work on-site four days each week at the New York, Seattle or Milwaukee office. You need U.S. work authorization that does not depend on employer sponsorship.
From the employer
Salary Range:
$105,000 USD - $130,000 USDSpecific 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.
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