Data Engineer

Job Description

Job Description

Apply now: Data Engineer (AVP Level), location is Hybrid (3 days/week onsite in NYC). The start date is ASAP (targeting end of summer) for this long-term contract-to-hire position.

Job Title: Data Engineer (AVP Level) Location-Type: Hybrid (3 days/week onsite in NYC, must be local) This position is not open to relocation at this time Start Date Is: ASAP (targeting end of summer) Duration: Long-Term Contract-to-Hire Compensation Range: $75-82/hr W2 Benefits: Eligible for Health, Dental, Vision, 401K Must be authorized to work in the U.S. This position is not eligible for sponsorship .

Job Description: Seeking a highly technical Data Engineer with a software engineering foundation who can bridge business needs and analytics solutions, helping modernize data platforms, improve reporting capabilities, and deliver scalable data products.

Day-to-Day Responsibilities:

• Partner directly with business stakeholders to gather requirements and deliver data solutions
• Build and maintain analytics, reporting, and visualization capabilities
• Develop data transformation and modeling solutions using SQL and Python
• Modernize analytics infrastructure and data tooling
• Create scalable, repeatable analytical products and processes
• Troubleshoot data issues and improve data quality
• Collaborate closely with engineering, product, and business teams
• Support new initiatives, business launches, and evolving reporting requirements
• Contribute to data architecture enhancements and integration efforts
• Build APIs and support integration patterns where needed

Minimum Requirements:

• 3–7 years of experience in data analytics, data engineering, or related technical roles
• This position is not open to relocation at this time
• Experience within hedge funds, asset management, or financial services
• Multi-asset investing domain knowledge
• Background in software engineering with progression into analytics and data-focused work
• Advanced SQL skills
• Strong Python development experience
• Hands-on experience with Snowflake
• Experience with data visualization and BI tools
• Ability to translate business requirements into scalable technical solutions
• Understanding of modern data architecture concepts
• Experience modernizing analytics environments and tooling
• Ability to build API endpoints and understand integration patterns
• Strong communication and stakeholder management skills
• Comfortable working independently in an end-to-end delivery environment

Preferred Qualifications:

• Experience with Tableau or similar BI platforms
• Exposure to CI/CD practices and modern software development workflows
• Experience mentoring junior team members