Data Engineer

Sharp Decisions; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

Sharp Decisions is seeking a senior Power BI Data Engineer to design, develop, and support scalable BI solutions for financial services. You will work with Power BI, Snowflake, and large investment datasets to deliver enterprise-grade analytics across portfolios, risk, performance, and operations.

The ideal candidate has 7+ years in BI/analytics, advanced DAX and SQL skills, and experience with asset management data. Strong communication with investment teams is essential.

Qualifications

• 7+ years of BI/analytics experience in financial services.
• Deep hands-on Power BI, SQL, and Snowflake development.
• Experience with enterprise-grade BI solutions and large financial datasets.

Responsibilities

• Design, develop, and support scalable analytical solutions for investment, risk, and performance teams.
• Build enterprise Power BI solutions with complex DAX and SQL queries.
• Optimize semantic models for large financial datasets in Snowflake.
• Collaborate with portfolio managers, risk professionals, and analysts to translate requirements into BI solutions.

Skills

Power BI

SQL

Snowflake

DAX

Semantic modeling

Investment data

Communication

Education

PL-300 Microsoft Power BI Data Analyst Associate Certification

CFA/CAIA

Tools

Power BI Service

Snowflake

CI/CD

Job description

Required Skills, Abilities, and Background

Title: Power BI - Data Engineer

Location: Remote

Type: Long-Term Contract
No C2C, Only W2
Experience: 7+ Year

Industry: Financial Services/Investment

Job Description

We are seeking a senior-level Data Developer (Power BI) with 7+ years of business intelligence and analytics experience, including deep hands‑on expertise with Power BI, Snowflake, and investment management data. This role will design, develop, and support scalable analytical solutions used across investment, risk, performance, and operational functions.

The ideal candidate will have extensive experience building enterprise‑grade Power BI solutions, developing complex DAX and SQL queries, optimizing semantic models, and working with large financial datasets in Snowflake. The candidate must have direct experience supporting asset management or institutional investment organizations and a strong understanding of core investment data, including portfolios, positions, transactions, securities, benchmarks, exposures, and performance.

• 7+ years of experience developing enterprise business intelligence or analytical solutions.
• 5+ years of advanced hands‑on Power BI experience in production environments.
• Expert‑level experience with Power BI semantic modeling, DAX, performance optimization, security, refresh strategies, and Power BI Service.
• Expert‑level SQL skills and significant hands‑on Snowflake experience supporting analytical workloads.
• Strong experience with dimensional modeling, including fact tables, dimensions, hierarchies, and slowly changing dimensions.
• Direct experience in asset management, investment management, institutional investment, or closely related financial services industries.
• Strong understanding of investment data, including portfolios, positions, transactions, securities, benchmarks, exposures, performance, and risk.
• Experience working directly with portfolio managers, analysts, risk professionals, performance teams, or investment operations staff.
• Experience developing reporting solutions using large, complex, and performance‑sensitive financial datasets.
• Strong written and verbal communication skills, with the ability to translate between technical and investment audiences.

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