Cloud Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Cloud Data Engineer in the Mass Media & Entertainment industry, located in New York, NY, for 13 months+. Requires 4+ years in big data, Python, SQL, and AWS; expertise in PySpark and data governance is essential.
🌎 - Country
United States
πŸ’± - Currency
$ USD
-
πŸ’° - Day rate
632
-
πŸ—“οΈ - Date discovered
September 5, 2025
πŸ•’ - Project duration
More than 6 months
-
🏝️ - Location type
On-site
-
πŸ“„ - Contract type
Unknown
-
πŸ”’ - Security clearance
Unknown
-
πŸ“ - Location detailed
New York, NY
-
🧠 - Skills detailed
#Redshift #AWS (Amazon Web Services) #Batch #Data Governance #Data Pipeline #Datasets #Data Engineering #Databases #PySpark #Python #SQL (Structured Query Language) #Big Data #Data Catalog #Data Architecture #Cloud #"ETL (Extract #Transform #Load)" #Spark (Apache Spark)
Role description
Title: Cloud Data Engineer Industry: Mass Media & Entertainment Location: New York, NY Duration: 13 months + Responsibilities β€’ Develop batch and real-time data pipelines, integrating various data sources while collaborating with other engineering services. β€’ Create data catalogs and validation routines to ensure quality and correctness of operational datasets in real time. β€’ Build integrations with media platforms to effectively deliver data supporting KPI optimization. β€’ Partner with Data Architect to build infrastructure enabling activation and segmentation capabilities. β€’ Collaborate with marketing teams to democratize insights that drive subscriber engagement through data-driven solutions. Requirements β€’ Excellent communicator and collaborator with technical acumen to drive business outcomes. β€’ 4+ years of experience in big data and/or data-intensive projects. β€’ 4+ years of deep experience developing in Python. β€’ Expert Level SQL developer, experienced with Redshift and other databases. β€’ Significant experience developing with PySpark and engineering big-data solutions using AWS technologies. Skills β€’ Cloud Data Engineering β€’ AWS β€’ Python β€’ PySpark β€’ SQL β€’ Big Data β€’ Data Governance β€’ ETL β€’ Data Pipelines β€’ Analytics Hourly rate is commensurate with experience and is an estimated range provided by WorkGenius. ref\_id: 4097f2cf-c8fe-456a-b02c-59847072b9f4