WorkGenius Group

Senior Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer in New York, NY, lasting 10 months with potential for permanent conversion. Requires 5+ years of experience in data engineering, strong Python and SQL skills, and expertise in Spark and Scala.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
744
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🗓️ - Date
November 27, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
New York, NY
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🧠 - Skills detailed
#Spark (Apache Spark) #Programming #Python #SQL (Structured Query Language) #Datasets #Libraries #Scala #Data Engineering #Data Pipeline
Role description
Title: Senior Data Engineer Industry: Entertainment & Mass Media Location: New York, NY Duration: 10 months + (Possible conversion to perm) Responsibilities • Contribute to maintaining, updating, and expanding existing data pipelines in Python / Spark while maintaining strict uptime SLAs. • Architect, design, and code shared libraries in Scala and Python that abstract complex business logic to allow consistent functionality across all data pipelines. • Collaborate with product managers, architects, and other engineers to drive the success of the Product Performance Data and key business stakeholders. • Ensure high operational efficiency and quality of datasets to meet SLAs and project reliability and accuracy for all partners. • Engage with and understand our customers, forming relationships to prioritize innovative new offerings and incremental platform improvements. Requirements • At least 5 years of data engineering experience developing large data pipelines. • Strong algorithmic problem-solving expertise. • Strong fundamental Python programming skills. • Strong SQL skills and ability to create queries to analyze complex datasets. • Hands-on production environment experience with distributed processing systems such as Spark. Hourly rate is commensurate with experience and is an estimated range provided by WorkGenius. ref\_id: e3029656-4e7d-4d39-9945-7966ff729d25