Data Engineer
New York, NY, 10001
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)
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
- 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
- Experience with Tableau or similar BI platforms
- Exposure to CI/CD practices and modern software development workflows
- Experience mentoring junior team members
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