Collabera

Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer on a 12+ month contract, offering $60.00 - $65.00 per hour. Located in Charlotte, NC / Chicago, IL / Jacksonville, FL / Denver, CO, it requires 5+ years of Data Engineering experience, advanced SQL, Python, Hadoop, and PySpark expertise.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
512
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πŸ—“οΈ - Date
May 13, 2026
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Chicago, IL
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🧠 - Skills detailed
#Hadoop #Base #SQL (Structured Query Language) #Data Processing #Python #Spark (Apache Spark) #Scala #SQL Queries #Datasets #"ETL (Extract #Transform #Load)" #Data Pipeline #Data Engineering #PySpark
Role description
Job Title: Senior Data Engineer Location: Charlotte, NC / Chicago, IL / Jacksonville, FL / Denver, CO Work Arrangement: Hybrid Client Industry: Fortune 500 Banking & Financial Services Client Duration: 12+ Months Contract Schedule: Monday to Friday, Standard Business Hours About the Role We are hiring a Senior Data Engineer to join our client’s Data Engineering team on a contract basis. This is an exciting opportunity to work with a leading enterprise organization focused on large-scale data transformation and engineering initiatives. The ideal candidate will be a hands-on engineer with strong coding expertise and experience working with large datasets, distributed systems, and performance optimization. Key Responsibilities Develop, optimize, and maintain complex SQL queries for large-scale data processing Build and enhance data pipelines using Python and PySpark Create and manage Hive tables within Hadoop environments Perform query optimization and performance tuning for large datasets Analyze and transform structured and unstructured data efficiently Collaborate with cross-functional teams to support data engineering initiatives Write clean, scalable, and production-quality code Participate in technical discussions, troubleshooting, and implementation activities What We’re Looking For 5+ years of hands-on Data Engineering experience within the U.S. Strong expertise in Advanced SQL and query optimization Strong hands-on Python development experience Experience with Hadoop, Hive, and PySpark Experience creating tables, performance tuning, and handling large datasets Strong coding and problem-solving skills Ability to explain technical logic and implementation clearly Excellent communication and collaboration skills Compensation Hourly Rate: $60.00 - $65.00 per hour This range reflects base compensation and may vary based on location, market conditions, experience, and candidate qualifications. Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, paid sick and safe time, paid vacation time, paid parental leave, and paid holidays annually. About Us At Collabera, we don’t just offer jobs—we build careers. As a global leader in talent solutions, we provide opportunities to work with top organizations, cutting-edge technologies, and dynamic teams. Our culture thrives on innovation, collaboration, and a commitment to excellence. With continuous learning, career growth, and a people-first approach, we empower you to achieve your full potential. Join us and be part of a company that values passion, integrity, and making an impact. Ready to Apply? Apply now or reach out to Tanupriya Ganguly at 703-289-0198 or email tanupriya.ganguly@collabera.com for more information. We look forward to speaking with you!