PARSETEK INC
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a contract length of "unknown," offering a pay rate of "unknown," and requires expertise in Databricks and AWS Cloud. Candidates must have 5+ years in Data Engineering and 3+ years with Databricks.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
560
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🗓️ - Date
June 27, 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
Washington DC-Baltimore Area
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🧠 - Skills detailed
#Data Engineering #AWS (Amazon Web Services) #Datasets #"ETL (Extract #Transform #Load)" #Scala #Spark SQL #SQL (Structured Query Language) #PySpark #Python #Spark (Apache Spark) #Databricks #Cloud
Role description
Job Summary
We are seeking a highly skilled Databricks Engineer with strong expertise in AWS Cloud to design, develop, and optimize scalable data engineering solutions. The ideal candidate will have hands-on experience building ETL/ELT pipelines, working with large datasets, and implementing cloud-native data solutions using Databricks and AWS services.
Required Skills
• 5+ years of experience in Data Engineering.
• 3+ years of hands-on experience with Databricks.
• Strong experience with AWS Cloud services.
• Proficiency in Python, PySpark, and Spark SQL.
• Experience building ETL/ELT pipelines using Databricks.
Job Summary
We are seeking a highly skilled Databricks Engineer with strong expertise in AWS Cloud to design, develop, and optimize scalable data engineering solutions. The ideal candidate will have hands-on experience building ETL/ELT pipelines, working with large datasets, and implementing cloud-native data solutions using Databricks and AWS services.
Required Skills
• 5+ years of experience in Data Engineering.
• 3+ years of hands-on experience with Databricks.
• Strong experience with AWS Cloud services.
• Proficiency in Python, PySpark, and Spark SQL.
• Experience building ETL/ELT pipelines using Databricks.
