Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
800
-
🗓️ - Date discovered
September 9, 2025
🕒 - Project duration
Unknown
-
🏝️ - Location type
Unknown
-
📄 - Contract type
Unknown
-
🔒 - Security clearance
Unknown
-
📍 - Location detailed
Burlingame, CA
-
🧠 - Skills detailed
#SQL (Structured Query Language) #Database Design #Hadoop #Data Processing #AWS (Amazon Web Services) #Spark (Apache Spark) #Kafka (Apache Kafka) #Java #Scala #Data Modeling #Python #Big Data #GCP (Google Cloud Platform) #Cloud #Data Quality #Data Pipeline #Programming #Strategy #Data Science #Data Engineering
Role description
Data Engineer
We’re looking for a Data Engineer to strengthen our Sales Data Engineering team. You’ll be responsible for building scalable data systems that power advertiser insights and revenue strategy. This role sits at the core of data engineering and business impact, enabling accurate metrics, dashboards, and data-driven decisions.
Key Responsibilities:
• Build and maintain scalable data pipelines and architectures.
• Partner with cross-functional teams to define and deliver data requirements.
• Develop and optimize data processing and analytics applications.
• Ensure data quality and validation across systems.
• Collaborate with analysts and data scientists to enable business insights.
• 5+ years of experience in Data Engineering
• Proficiency in SQL and programming (Python/Java)
• Hands-on with big data tools (Hadoop, Spark, Kafka)
• Strong grasp of data modeling & database design
• Experience with cloud platforms (AWS/GCP)
• Excellent problem-solving and attention to detail
Data Engineer
We’re looking for a Data Engineer to strengthen our Sales Data Engineering team. You’ll be responsible for building scalable data systems that power advertiser insights and revenue strategy. This role sits at the core of data engineering and business impact, enabling accurate metrics, dashboards, and data-driven decisions.
Key Responsibilities:
• Build and maintain scalable data pipelines and architectures.
• Partner with cross-functional teams to define and deliver data requirements.
• Develop and optimize data processing and analytics applications.
• Ensure data quality and validation across systems.
• Collaborate with analysts and data scientists to enable business insights.
• 5+ years of experience in Data Engineering
• Proficiency in SQL and programming (Python/Java)
• Hands-on with big data tools (Hadoop, Spark, Kafka)
• Strong grasp of data modeling & database design
• Experience with cloud platforms (AWS/GCP)
• Excellent problem-solving and attention to detail
