SENIOR DATA ENGINEER

🚨 WE’RE HIRING: SENIOR DATA ENGINEER – POWER BI | SNOWFLAKE | INVESTMENT DATA 🚨

📍 Location: Remote (USA)
💼 Employment Type: Contract – W2
⏳ Duration: Initial 6 Months (Extension Possible)

🔹 About the Role

We are looking for a highly experienced Senior Data Engineer / BI Engineer with 10+ years of experience in Business Intelligence and Analytics, specializing in Power BI, Snowflake, SQL, and Investment Management Data.

The ideal candidate will have strong hands-on expertise in enterprise Power BI development, advanced DAX, semantic modeling, Snowflake SQL optimization, and direct experience working with asset management or institutional investment organizations.

🔹 Key Responsibilities

• Design, develop, and maintain enterprise-grade Power BI dashboards, reports, and semantic models.
• Develop advanced DAX calculations, dimensional models, hierarchies, and reusable business logic.
• Build and optimize complex Snowflake SQL queries for investment and financial datasets.
• Partner with investment, risk, performance, and operational teams to deliver scalable analytical solutions.
• Optimize Power BI reports and semantic models for performance, scalability, and usability.
• Troubleshoot data, reporting, refresh, and performance-related issues.
• Implement data quality checks, testing, reconciliation, and monitoring controls.
• Support source control, automated deployments, and CI/CD practices.
• Establish BI development standards and document technical designs and business logic.

🔹 Required Skills & Experience

✅ 10+ years of overall BI / Analytics experience.
✅ 7+ years developing enterprise BI and analytical solutions.
✅ 5+ years of hands-on Power BI experience.
✅ Expert-level Power BI, DAX, semantic modeling, and performance optimization.
✅ Strong SQL and hands-on Snowflake experience.
✅ Expertise in dimensional modeling (Fact Tables, Dimensions, Hierarchies, SCDs).
✅ Direct Asset Management / Investment Management / Institutional Investment experience.
✅ Strong understanding of investment data:

• Portfolios & Positions
• Transactions & Securities
• Benchmarks & Exposures
• Investment Performance & Risk

✅ Experience working with Portfolio Managers, Investment Analysts, Risk Professionals, and Investment Operations teams.

🔹 Nice to Have

• PL-300 Microsoft Power BI Data Analyst Certification.
• Experience with automated testing, data reconciliation, CI/CD, and source control.
• CFA, CAIA, or other investment-industry certifications.