Ideaon
Lead Data Engineer-Only Locals to Bay Area
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Engineer in the Bay Area, requiring a bachelor's or master's degree and 5+ years of data engineering experience. Key skills include Snowflake, SQL, ETL tools, and cloud platforms. Contract length and pay rate are unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 9, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Oakland, CA
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🧠 - Skills detailed
#Database Management #GIT #Big Data #AWS (Amazon Web Services) #SQL (Structured Query Language) #dbt (data build tool) #Snowflake #"ETL (Extract #Transform #Load)" #Hadoop #Spark (Apache Spark) #Azure #Data Engineering #Kafka (Apache Kafka) #Version Control #Talend #Computer Science #Informatica #Data Pipeline #Cloud
Role description
• Bachelor’s or master’s degree in computer science, Engineering, or a related field.
• Minimum of 5 years of experience in data engineering or a related role.
• Proven experience with Snowflake is required.
• Knowledge of data warehousing concepts, dimensional modeling, and performance tuning.
• Hands-on experience with ETL tools (e.g., Informatica, Talend, dbt, or custom ETL frameworks).
• Strong proficiency in SQL and database management.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with version control (Git) and CI/CD for data pipelines.
• Familiarity with Big Data technologies such as Hadoop, Spark, and Kafka is a plus.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.
• Bachelor’s or master’s degree in computer science, Engineering, or a related field.
• Minimum of 5 years of experience in data engineering or a related role.
• Proven experience with Snowflake is required.
• Knowledge of data warehousing concepts, dimensional modeling, and performance tuning.
• Hands-on experience with ETL tools (e.g., Informatica, Talend, dbt, or custom ETL frameworks).
• Strong proficiency in SQL and database management.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with version control (Git) and CI/CD for data pipelines.
• Familiarity with Big Data technologies such as Hadoop, Spark, and Kafka is a plus.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.
