Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with 8+ years of experience in building data pipelines, proficient in SQL, Python or Scala, and big data frameworks. Contract length is unspecified, pay rate is "unknown", and work is during PST hours.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 12, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
San Jose, CA
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🧠 - Skills detailed
#Python #Azure Data Factory #Data Lake #Data Warehouse #Database Systems #Azure #Spark (Apache Spark) #SQL (Structured Query Language) #Apache Spark #Data Processing #AWS (Amazon Web Services) #BigQuery #Data Engineering #Hadoop #Redshift #ADF (Azure Data Factory) #PostgreSQL #Data Framework #Scala #Big Data #Data Pipeline #MySQL #AWS Glue #SQL Server #Cloud
Role description
Overview:
We are looking for a Data Engineer with at least 8 years of experience in designing, building, and maintaining large-scale data pipelines and data processing systems. The ideal candidate will have deep expertise in modern data engineering tools, cloud platforms, and distributed processing, and must be able to work effectively during Pacific Standard Time (PST) business hours.
Required Skills & Qualifications:
• 8+ years of professional experience as a Data Engineer.
• Strong expertise in SQL and database systems (PostgreSQL, MySQL, SQL Server, etc.).
• Proficiency with Python or Scala for data processing.
• Experience with big data frameworks (Apache Spark, Hadoop, Hive).
• Hands-on experience with at least one major cloud platform and associated data services (e.g., AWS Glue, Redshift, BigQuery, Azure Data Factory).
• Experience with workflow orchestration tools.
• Knowledge of data lake and data warehouse architectures.
Overview:
We are looking for a Data Engineer with at least 8 years of experience in designing, building, and maintaining large-scale data pipelines and data processing systems. The ideal candidate will have deep expertise in modern data engineering tools, cloud platforms, and distributed processing, and must be able to work effectively during Pacific Standard Time (PST) business hours.
Required Skills & Qualifications:
• 8+ years of professional experience as a Data Engineer.
• Strong expertise in SQL and database systems (PostgreSQL, MySQL, SQL Server, etc.).
• Proficiency with Python or Scala for data processing.
• Experience with big data frameworks (Apache Spark, Hadoop, Hive).
• Hands-on experience with at least one major cloud platform and associated data services (e.g., AWS Glue, Redshift, BigQuery, Azure Data Factory).
• Experience with workflow orchestration tools.
• Knowledge of data lake and data warehouse architectures.
