

Senior Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with 5+ years of experience, focusing on Airflow, Snowflake, and Databricks. It offers a hybrid work location, a contract lasting until the end of the fiscal year, and requires a Bachelor's in Computer Science.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
672
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ποΈ - Date discovered
June 4, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
Hybrid
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π - Contract type
W2 Contractor
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π - Security clearance
Unknown
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π - Location detailed
Santa Monica, CA
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π§ - Skills detailed
#Computer Science #"ETL (Extract #Transform #Load)" #Python #Data Normalization #PySpark #Normalization #SQL (Structured Query Language) #Spark (Apache Spark) #Data Modeling #Databricks #Data Engineering #Scala #Snowflake #Airflow
Role description
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Senior Data Engineer - Airflow, Snowflake / Databricks
β’ Hybrid in either Seattle, Santa Monica, NYC or San Fran
β’ W2 Only, must be USC or GC Holder (no C2C / Sponsorship)
β’ Must hold a Bachelor in Computer Science, or similar
β’ Contract - end of Fiscal year, will extend
Optomi, in partnership with a leader in the family entertainment industries, is seeking a Senior Data Engineer to join their growing team! You'll be joining a central team of Systems Engineers supporting distributed data platforms for our Technical Shared Service development teams and customers. This team supports all data for their streaming services!
Qualifications:
β’ 5+ years of relevant data engineering experience.
β’ Strong understanding of data modeling principles including Dimensional modeling, data normalization principles.
β’ Good understanding of SQL Engines and able to conduct advanced performance tuning.
β’ Ability to think strategically, analyze and interpret market and consumer information
β’ Design table structures and define ETL pipelines to build performant Data solutions that are reliable and scalable in a fast growing data ecosystem.
Preferred Qualifications:
β’ 4+ years of work experience implementing and reporting on business key performance indicators in data warehousing environments, required.
β’ 4+ years of experience using analytic SQL
β’ Python with PySpark
β’ Airflow experience
β’ Experience with Snowflake, Databricks