What are the responsibilities and job description for the Remote Snowflake Data Engineer position at Lensa?
Lensa is a career site that helps job seekers find great jobs in the US. We are not a staffing firm or agency. Lensa does not hire directly for these jobs, but promotes jobs on LinkedIn on behalf of its direct clients, recruitment ad agencies, and marketing partners. Lensa partners with DirectEmployers to promote this job for Insight Global. Clicking "Apply Now" or "Read more" on Lensa redirects you to the job board/employer site. Any information collected there is subject to their terms and privacy notice.
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
If you have questions about this posting, please contact support@lensa.com
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
If you have questions about this posting, please contact support@lensa.com