Hiring! Sr. ELT Data Engineer- New York, Chicago, IL (Hybrid)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. ELT Data Engineer in New York or Chicago, IL, on a 12-month contract. Requires 10-12 years of data engineering experience, proficiency in Python, and media industry expertise preferred. Pay rate TBD. Hybrid work available.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
September 25, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
Hybrid
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πŸ“„ - Contract type
W2 Contractor
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Chicago, IL
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🧠 - Skills detailed
#Python #Data Engineering #Spark (Apache Spark) #Scripting #DevOps #Migration #Scala #Visualization #Computer Science #PySpark #Alation #SQL (Structured Query Language) #Data Manipulation #Pandas
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, PropelSys Technologies LLC., is seeking the following. Apply via Dice today! Job Role: Sr. ELT Data Engineer Location: New York, NY / Chicago, IL (Onsite 2 3 days per week, Hybrid flexibility available) Visa Status: Independent Job Type: Contract Duration: 12 Months (with possible extension) Client: Direct Mode of Interview: Video (2 3 rounds) Rate: TBD / DOE Experience Level: 3-25 years Tax Terms : W2/1099 Only General Skills & Requirements β€’ 10 12 years of progressive experience in data engineering with increasing responsibility across diverse projects and technologies. β€’ Bachelor's degree (BA/BS) in Computer Science, Engineering, or related field, or equivalent professional experience. β€’ Advanced-level or industry-recognized certifications preferred. β€’ Proven ability to function as a team lead, guiding technical direction and mentoring team members. β€’ Hands-on experience in planning, deploying, and maintaining tools, platforms, and data infrastructure. β€’ Strong expertise in technology migrations and upgrades. β€’ Ability to define, track, and communicate key performance indicators (KPIs). β€’ Experience working with vendors and handling technical support escalations. Technical Skills β€’ Proficiency in Python for building and managing ELT pipelines, including data manipulation, querying, visualization, and scripting using tools such as PySpark, Pandas, and Dash (SQL knowledge a plus). β€’ Strong background in software pipeline development and DevOps practices: GitFlow, CI/CD, containerization. Soft Skills β€’ Strong communication and collaboration abilities. β€’ Domain expertise in the media industry (preferred).