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Data Engineer

Mondo

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

 

Vacancy posted 28 days ago
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