Job Description We are seeking a mid to senior-level Data Engineer with strong Snowflake and dbt experience to support an Aladdin implementation program. The ideal candidate has a strong background in financial data, modern cloud data platforms, and analytics engineering best practices. Prior Aladdin experience is not required, but is considered a strong plus. Key Responsibilities Design, develop, and maintain scalable data pipelines using Snowflake as the cloud data warehouse Build and manage analytics-ready data models using dbt, following best practices for modularity, testing, and documentation Partner with business and technical stakeholders to translate Aladdin-related data requirements into robust data models and transformations Integrate and normalize data from upstream systems (e.g., investment, accounting, market data, reference data) into Snowflake Implement data quality checks, testing frameworks, and performance optimizations across pipelines and models Support reporting, analytics, and downstream consumption use cases tied to portfolio, risk, performance, and operational data Collaborate with implementation partners and internal teams during design reviews, UAT, and production rollouts Contribute to data governance, lineage, and documentation standards We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements 5–8+ years of experience in Data Engineering or Analytics Engineering roles Strong hands-on experience with Snowflake (data modeling, performance tuning, cost optimization) Strong hands-on experience with dbt (models, macros, tests, documentation, environments) Proficiency in SQL; comfort working with complex, large-scale datasets Experience working in financial services environments (asset management, banking, capital markets, or similar) Familiarity with modern data engineering best practices (ELT, version control, CI/CD, data quality) Ability to work independently in a contract-based, delivery-oriented environment Prior experience supporting Aladdin implementations or integrations Exposure to investment data domains (portfolio, positions, transactions, risk, performance, benchmarks) Experience working with cloud platforms (AWS, Azure, or GCP) Experience collaborating with offshore or distributed delivery teams