

Expert Big Data Engineer - W2 Only
β - Featured Role | Apply direct with Data Freelance Hub
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
-
ποΈ - Date discovered
September 9, 2025
π - Project duration
Unknown
-
ποΈ - Location type
Unknown
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π - Contract type
W2 Contractor
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π - Security clearance
Unknown
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π - Location detailed
Fremont, CA
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π§ - Skills detailed
#SQL (Structured Query Language) #Kafka (Apache Kafka) #Data Modeling #Airflow #Python #Big Data #Data Framework #Data Integration #Unit Testing #Data Engineering #PySpark #Spark (Apache Spark)
Role description
3 months Contract to Hire with End Client(Tesla)
Open for US citizens, GC and H1B only
Onsite 5 days a week to office in Fremont CA (Bay Area, SFO)
No OPT EAD plz
Minimum Experience - 10 years
Responsibility - The resource will be working with business users on understanding the requirement and will be involved in developing, unit testing and supporting data integration pipelines.
Skill set β
Expert SQL, Python,
PySpark,
Knowledge on Big Data framework,
Experience on data integration tools preferably Airflow,
Any messaging service experience preferably Kafka.
Strong Data modeling β someone who can talk how data moves from point A to point B using industry standard concepts etc.
Good experience and exposure to Data Warehousing concepts.
3 months Contract to Hire with End Client(Tesla)
Open for US citizens, GC and H1B only
Onsite 5 days a week to office in Fremont CA (Bay Area, SFO)
No OPT EAD plz
Minimum Experience - 10 years
Responsibility - The resource will be working with business users on understanding the requirement and will be involved in developing, unit testing and supporting data integration pipelines.
Skill set β
Expert SQL, Python,
PySpark,
Knowledge on Big Data framework,
Experience on data integration tools preferably Airflow,
Any messaging service experience preferably Kafka.
Strong Data modeling β someone who can talk how data moves from point A to point B using industry standard concepts etc.
Good experience and exposure to Data Warehousing concepts.