

Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
September 9, 2025
π - Project duration
Unknown
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ποΈ - Location type
Unknown
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Menlo Park, CA
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π§ - Skills detailed
#SQL (Structured Query Language) #Kafka (Apache Kafka) #Scala #Computer Science #Data Modeling #Tableau #Hadoop #Spark (Apache Spark) #Python #Big Data #Visualization #GCP (Google Cloud Platform) #AWS (Amazon Web Services) #Cloud #Data Engineering #AI (Artificial Intelligence) #ML (Machine Learning)
Role description
Job Title: Data Engineer IV
Location: Menlo Park, CA (Onsite 3 days/week)
Must-Have Skills
β’ 5+ years of experience as a Data Engineer
β’ Strong proficiency in SQL and Python
β’ Experience in data modeling and building scalable pipelines
β’ Hands-on experience with big data technologies (Hadoop, Spark, Kafka)
β’ Familiarity with cloud platforms (AWS, GCP, or similar)
β’ Strong problem-solving skills and attention to detail
β’ Experience with data visualization tools (Tableau, Unidash)
β’ Bachelorβs degree in Computer Science or a related field
Nice-to-Have Skills
β’ Experience working with machine learning or AI-driven data workflows
β’ Prior experience in large-scale enterprise sales/advertiser data environments
Job Title: Data Engineer IV
Location: Menlo Park, CA (Onsite 3 days/week)
Must-Have Skills
β’ 5+ years of experience as a Data Engineer
β’ Strong proficiency in SQL and Python
β’ Experience in data modeling and building scalable pipelines
β’ Hands-on experience with big data technologies (Hadoop, Spark, Kafka)
β’ Familiarity with cloud platforms (AWS, GCP, or similar)
β’ Strong problem-solving skills and attention to detail
β’ Experience with data visualization tools (Tableau, Unidash)
β’ Bachelorβs degree in Computer Science or a related field
Nice-to-Have Skills
β’ Experience working with machine learning or AI-driven data workflows
β’ Prior experience in large-scale enterprise sales/advertiser data environments