

Senior Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer on a 6+ month W-2 contract, fully remote. Key skills include 5+ years of Data Engineering experience, proficiency in Spark, Python, Scala, and cloud data warehouses. Experience in the music or entertainment industry is preferred.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
560
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ποΈ - Date discovered
July 19, 2025
π - Project duration
More than 6 months
-
ποΈ - Location type
Remote
-
π - Contract type
W2 Contractor
-
π - Security clearance
Unknown
-
π - Location detailed
United States
-
π§ - Skills detailed
#Data Storage #SQL (Structured Query Language) #Data Warehouse #Python #Scala #"ETL (Extract #Transform #Load)" #Databricks #Redshift #Computer Science #SQL Queries #Data Engineering #Data Analysis #Storage #Snowflake #Teradata #AWS (Amazon Web Services) #Data Modeling #Spark (Apache Spark) #Data Processing #Data Pipeline #Cloud
Role description
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Job Title: Senior Data Engineer (Remote β W-2 Only)
Contract Duration: 6+ Months
Location: Fully Remote (U.S.-based)
A leading name in the entertainment industry is seeking a Senior Data Engineer to help build scalable data pipelines and real-time ingestion systems. Youβll work cross-functionally to deliver cloud-based data solutions that power business insights.
Experience in the music or entertainment industry is a strong plus, as familiarity with media data and audience metrics will enhance success in this role.
Employment Type: W-2 Contract Only (Third-party and C2C arrangements are not supported for this role)
Key Requirements:
β’ Bachelor's degree in Computer Science, Engineering, or related field
β’ 5+ years of professional experience in Data Engineering
β’ Strong hands-on experience with Spark and Python
β’ Experience with Scala and Databricks
β’ Solid understanding of distributed systems, data modeling, and ETL pipelines
β’ Experience with cloud-based data warehouses (e.g., Snowflake, AWS Redshift, Teradata)
β’ Strong problem-solving skills and attention to detail
β’ Excellent communication and collaboration skills
Responsibilities:
β’ Design, build, and maintain high-performance, scalable data processing systems using Spark, Flink, Druid, or similar technologies
β’ Collaborate with cross-functional teams to integrate and validate data from various sources
β’ Write complex SQL queries for data analysis and reporting
β’ Develop and maintain robust ETL pipelines and data models
β’ Optimize pipeline and system performance for efficient data processing
β’ Support the infrastructure for data storage and access
β’ Stay current with emerging trends in data engineering and cloud technologies
Note:
This position is open to W-2 candidates only. We are unable to engage with third-party vendors or offer Corp-to-Corp (C2C) arrangements at this time.