Kelly
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer on a 5-month contract-to-hire basis in Rutherford, NJ (Hybrid). Requires strong SQL and ETL skills, experience with Apache Spark, and knowledge of data governance. Preferred experience in Risk or Wealth Management.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
August 1, 2026
🕒 - Duration
3 to 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Rutherford, NJ
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🧠 - Skills detailed
#Data Quality #SQL (Structured Query Language) #Scala #PySpark #Impala #Data Transformations #Big Data #Cloud #Apache Spark #"ETL (Extract #Transform #Load)" #Cloudera #SQL Queries #Automation #Data Pipeline #Data Processing #Java #Data Engineering #Data Governance #Python #Spark (Apache Spark)
Role description
Job Title: Senior Data Engineer
Duration: 5 months (Contract-to-Hire)
Location: Rutherford, NJ (Hybrid)
Role Overview:
Design, build, and optimize scalable data pipelines, ETL workflows, and SQL-based data solutions while ensuring data quality, governance, and system reliability in a large enterprise environment.
Key Responsibilities:
• Design and maintain scalable ETL pipelines and data workflows.
• Develop and optimize complex SQL queries and data transformations.
• Build data validation, quality checks, and QE automation.
• Troubleshoot data issues and support cross-platform integrations.
• Collaborate with business and technology teams to deliver reliable data solutions.
Required Skills:
• Strong expertise in SQL and ETL.
• Hands-on experience with Apache Spark (PySpark), Hive, Impala, and Cloudera.
• Experience working with Parquet and Avro data formats.
• Proficiency in Python (Java is a plus).
• Strong understanding of data warehousing, data validation, and Quality Engineering (QE).
Preferred:
• Risk or Wealth Management experience.
• Big data technologies and distributed data processing.
• Experience in enterprise data governance and cross-functional environments.
Job Title: Senior Data Engineer
Duration: 5 months (Contract-to-Hire)
Location: Rutherford, NJ (Hybrid)
Role Overview:
Design, build, and optimize scalable data pipelines, ETL workflows, and SQL-based data solutions while ensuring data quality, governance, and system reliability in a large enterprise environment.
Key Responsibilities:
• Design and maintain scalable ETL pipelines and data workflows.
• Develop and optimize complex SQL queries and data transformations.
• Build data validation, quality checks, and QE automation.
• Troubleshoot data issues and support cross-platform integrations.
• Collaborate with business and technology teams to deliver reliable data solutions.
Required Skills:
• Strong expertise in SQL and ETL.
• Hands-on experience with Apache Spark (PySpark), Hive, Impala, and Cloudera.
• Experience working with Parquet and Avro data formats.
• Proficiency in Python (Java is a plus).
• Strong understanding of data warehousing, data validation, and Quality Engineering (QE).
Preferred:
• Risk or Wealth Management experience.
• Big data technologies and distributed data processing.
• Experience in enterprise data governance and cross-functional environments.
