

Senior Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer in Glendale, CA, lasting over 6 months, with an hourly rate based on experience. Requires 6+ years in data engineering, strong SQL, and hands-on experience with Spark, Hadoop, and cloud databases.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
688
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ποΈ - Date discovered
August 2, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
On-site
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Glendale, CA
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π§ - Skills detailed
#Data Mart #SQL (Structured Query Language) #Agile #Data Modeling #Data Warehouse #Java #Data Architecture #Data Pipeline #Big Data #Python #Scala #"ETL (Extract #Transform #Load)" #Cloud #Data Engineering #Data Science #Datasets #Programming #Spark (Apache Spark) #Hadoop #Snowflake #Redshift
Role description
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Title: Senior Data Engineer
Industry: Mass Media & Entertainment
Location: Glendale, CA
Duration: 6 months +
Responsibilities
β’ Contribute to the design and growth of Data Products and Data Warehouses around Engagement and Retention Analytics and Data Science
β’ Design and develop scalable data warehousing solutions, building ETL pipelines in Big Data environments
β’ Help architect data solutions/frameworks and define data models for the underlying data warehouse and data marts
β’ Collaborate with Data Product Managers, Data Architects and Data Engineers to design, implement, and deliver successful data solutions
β’ Ensure high operational efficiency and quality of your solutions to meet SLAs and support commitment to customers (Data Science, Data Analytics teams)
Requirements
β’ 6+ years of data engineering experience developing large data pipelines
β’ Strong SQL skills to create queries and build performant datasets
β’ Hands-on experience with distributed systems such as Spark and Hadoop
β’ Strong programming skills in Python/Scala/Java
β’ Experience with major MPP or cloud database technologies (Snowflake, Redshift, Big Query)
Skills
β’ Data Engineering
β’ Big Data
β’ ETL
β’ Data Warehousing
β’ SQL
β’ Python
β’ Spark
β’ Hadoop
β’ Data Modeling
β’ Agile
Hourly rate is commensurate with experience and is an estimated range provided by WorkGenius.
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