Global Technical Talent, an Inc. 5000 Company

Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a 1-year contract in Mount Laurel, NJ, paying $75.00–$85.00 per hour. Requires 10 years of back-end development and banking experience, strong Python and PySpark skills, and a graduate degree. Hybrid work model.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
680
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🗓️ - Date
May 1, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Mount Laurel, NJ
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🧠 - Skills detailed
#SQL Server #PySpark #Data Science #ML (Machine Learning) #SQL (Structured Query Language) #Python #Spark (Apache Spark) #Data Engineering #Oracle #AI (Artificial Intelligence)
Role description
Data Engineer Location: Mount Laurel, NJ Onsite Flexibility: Hybrid – minimum 2 days in office per week Contract Details Position Type: Contract Contract Duration: 1 year Start: ASAP Pay Rate: $75.00–$85.00 / Hour (USD) Shift / Schedule: Monday – Friday, core business hours, 40 hours per week Travel Requirements: Not required Work Authorization: Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Job Summary This is a new position within a 16-person team focused on AI-related projects including collections analytics and supporting other data initiatives. The role offers an opportunity for long-term engagement with a top 10 North American bank known for great work culture. You will join a collaborative team environment where you will contribute technical ideas and help drive innovation in data engineering. The position requires hitting timelines and deliverables while demonstrating a positive attitude and strong cultural fit. You will work with internal stakeholders and have access to customer data in a data workspace environment. Key Responsibilities • Develop and maintain back-end data solutions within a data workspace using Python and PySpark • Leverage AI and machine learning capabilities, including CoPilot and VIBE coding tools, to enhance data engineering workflows • Work with legacy tools and technologies including Oracle, SQL Server, and Mainframe systems • Contribute technical ideas and collaborate with team members on collections analytics and related AI projects • Support additional data projects as needed within the organization • Participate in approximately 2 hours of meetings per day on average • Engage with internal stakeholders to understand data requirements and deliver solutions Required Skills • 10 years of back-end development experience within a data workspace • Strong expertise using Python and PySpark for development • Strong AI and machine learning skills, including proficiency with CoPilot and VIBE coding • 10 years of banking or financial services experience • Exposure to legacy tools and technologies (Oracle, SQL Server, Mainframe, etc.) • Strong communication skills (verbal and written) • Collaborative mindset with ability to contribute technical ideas • Team player with strong interpersonal skills Preferred Skills • AI, Machine Learning, or Data Science certifications Education Requirements • Minimum graduate degree required Required Experience • 10 years of back-end development experience in a data workspace • 10 years of banking or financial services industry experience Benefits • Medical, Vision, and Dental Insurance Plans • 401k Retirement Fund About the Client Top 10 bank in Canada and North America offering comprehensive financial solutions. Providing retail, commercial, wealth management, and wholesale banking services, we help clients thrive in today's evolving market. About GTT GTT is a minority-owned staffing firm and a subsidiary of Chenega Corporation, a Native American-owned company in Alaska. We highly value diverse and inclusive workplaces and support Fortune 500 organizations across banking, financial services, technology, life sciences, biotech, utilities, and retail sectors throughout the U.S. and Canada. Job Number 26-04683