Mondo

Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer (AVP Level) with a long-term contract-to-hire duration, paying $75-82/hr, hybrid in NYC. Requires 3-7 years in data engineering, advanced SQL, strong Python, Snowflake experience, and ideally financial services background.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
656
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πŸ—“οΈ - Date
July 24, 2026
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
W2 Contractor
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
New York, NY
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🧠 - Skills detailed
#Data Engineering #"ETL (Extract #Transform #Load)" #Scala #Snowflake #BI (Business Intelligence) #Data Architecture #Tableau #Python #SQL (Structured Query Language) #Visualization #Data Quality #API (Application Programming Interface)
Role 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) Start Date Is: ASAP (targeting end of summer) Duration: Long-Term Contract-to-Hire Compensation Range: $75-82/hr W2 Benefits:Β 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: β€’ Partner directly with business stakeholders to gather requirements and deliver data solutions β€’ Build and maintain analytics, reporting, and visualization capabilities β€’ Develop data transformation and modeling solutions using SQL and Python β€’ Modernize analytics infrastructure and data tooling β€’ Create scalable, repeatable analytical products and processes β€’ Troubleshoot data issues and improve data quality β€’ Collaborate closely with engineering, product, and business teams β€’ Support new initiatives, business launches, and evolving reporting requirements β€’ Contribute to data architecture enhancements and integration efforts β€’ Build APIs and support integration patterns where needed Minimum Requirements: β€’ 3-7Β years of experience in data analytics, data engineering, or related technical roles β€’ Background in software engineering with progression into analytics and data-focused work β€’ Advanced SQL skills β€’ Strong Python development experience β€’ Hands-on experience with Snowflake β€’ Experience with data visualization and BI tools β€’ Ability to translate business requirements into scalable technical solutions β€’ Understanding of modern data architecture concepts β€’ Experience modernizing analytics environments and tooling β€’ Ability to build API endpoints and understand integration patterns β€’ Strong communication and stakeholder management skills β€’ Comfortable working independently in an end-to-end delivery environment Preferred Qualifications: β€’ Experience within hedge funds, asset management, or financial services β€’ Multi-asset investing domain knowledge β€’ Experience with Tableau or similar BI platforms β€’ Exposure to CI/CD practices and modern software development workflows β€’ Experience mentoring junior team members