Talent Groups
Data AI Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data AI Engineer in Menlo Park, CA, on a contract basis. Requires a BS/MS in a related field, 5–8 years of experience, proficiency in Spark and Python, and expertise in cloud-based data platforms and AI/ML data enablement.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 10, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Menlo Park, CA
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🧠 - Skills detailed
#SQL (Structured Query Language) #Scala #Data Pipeline #HBase #Kafka (Apache Kafka) #AI (Artificial Intelligence) #Airflow #Computer Science #Python #Spark (Apache Spark) #ML (Machine Learning) #Cloud #Data Science #NoSQL #Data Engineering #Presto
Role description
Role : Data AI Engineer
Location: Menlo Park, CA
Duration: Contract
Required Skills:
• BS/MS in Computer Science, Engineering, Data Science, or related field.
• 5–8 years in data engineering, software engineering, or platform engineering with strong experience building scalable data pipelines and distributed systems.
• Strong proficiency in Spark and Python, with hands-on experience in production-grade data engineering and cloud-based data platforms.
• Hands-on with Spark, Kafka, HBase, Presto, Hive Flink, Airflow/Beam, SQL/NoSQL, cloud platforms, and AI/ML data enablement.
• Success Traits
• Success Traits: Ownership, hands-on execution, strong problem solving, collaboration, and the ability to build scalable data solutions with high reliability and quality.
Role : Data AI Engineer
Location: Menlo Park, CA
Duration: Contract
Required Skills:
• BS/MS in Computer Science, Engineering, Data Science, or related field.
• 5–8 years in data engineering, software engineering, or platform engineering with strong experience building scalable data pipelines and distributed systems.
• Strong proficiency in Spark and Python, with hands-on experience in production-grade data engineering and cloud-based data platforms.
• Hands-on with Spark, Kafka, HBase, Presto, Hive Flink, Airflow/Beam, SQL/NoSQL, cloud platforms, and AI/ML data enablement.
• Success Traits
• Success Traits: Ownership, hands-on execution, strong problem solving, collaboration, and the ability to build scalable data solutions with high reliability and quality.
