Data Engineer - W2 Only
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with 10+ years of IT experience, including 5 years in data engineering. Requires expertise in Azure Databricks, Scala/Python, big data technologies, and leadership experience. Contract length and pay rate are unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 30, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Apache Spark #Data Pipeline #Python #Azure #Version Control #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #Leadership #Programming #Spark (Apache Spark) #Big Data #Delta Lake #Jenkins #Scala #GIT #Databricks #Data Engineering #Azure Databricks
Role description
T+S
USC only
EST/CST candidates only
need LinkedIn (this is a must have)
I need a Data Engineer- they do not need to have a lead title previously, but someone has had some leadership responsibilities, mentoring, leading projects, etc. good communication.
• 10+ years of IT experience, including at least 5 years in data engineering with a strong background in Azure Databricks and Scala/Python.
• Experience in processing and transforming unstructured data with solid programming knowledge.
• Hands-on experience in building data pipelines using Scala/Python.
• Proficient in big data technologies such as Apache Spark, Structured Streaming, SQL, and Databricks Delta Lake.
• Strong analytical and problem-solving skills with expertise in troubleshooting Spark applications and resolving data pipeline issues.
• Familiar with version control systems like Git and CI/CD pipelines using Jenkins.
• Provide technical guidance to junior and senior data engineers, and act as a Technical Product Owner (TPO) to ensure deliveries are made as per commitments.
T+S
USC only
EST/CST candidates only
need LinkedIn (this is a must have)
I need a Data Engineer- they do not need to have a lead title previously, but someone has had some leadership responsibilities, mentoring, leading projects, etc. good communication.
• 10+ years of IT experience, including at least 5 years in data engineering with a strong background in Azure Databricks and Scala/Python.
• Experience in processing and transforming unstructured data with solid programming knowledge.
• Hands-on experience in building data pipelines using Scala/Python.
• Proficient in big data technologies such as Apache Spark, Structured Streaming, SQL, and Databricks Delta Lake.
• Strong analytical and problem-solving skills with expertise in troubleshooting Spark applications and resolving data pipeline issues.
• Familiar with version control systems like Git and CI/CD pipelines using Jenkins.
• Provide technical guidance to junior and senior data engineers, and act as a Technical Product Owner (TPO) to ensure deliveries are made as per commitments.
