

Kelly
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Rutherford, NJ (Hybrid) for 6 months (Right to Hire) with a pay rate of "unknown." Key skills include SQL, ETL processes, Python/Scala/Java, and cloud platforms (AWS/Azure/GCP). A Bachelor's degree in a related field is required.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
800
-
🗓️ - Date
June 3, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Rutherford, NJ
-
🧠 - Skills detailed
#AWS (Amazon Web Services) #Security #Tableau #Java #Databricks #SQL (Structured Query Language) #Microsoft Power BI #BI (Business Intelligence) #Spark (Apache Spark) #Data Warehouse #Data Analysis #BigQuery #Synapse #"ETL (Extract #Transform #Load)" #Airflow #Python #Hadoop #Databases #Data Pipeline #Apache Spark #Data Quality #Database Performance #Scala #GCP (Google Cloud Platform) #Azure #Cloud #Data Lake #Computer Science #Kafka (Apache Kafka) #Snowflake #Datasets #Data Science #DevOps #Data Engineering #Redshift #Data Governance
Role description
Job Title: Data Engineer
Location: Rutherford, NJ (Hybrid)
Duration: 6 months (Right to Hire)
Job Overview
We are seeking a Data Engineer to build and maintain scalable data pipelines and data infrastructure that support analytics, reporting, and data-driven decision-making. The ideal candidate will have experience working with large datasets, ETL processes, cloud platforms, and modern data technologies.
Responsibilities
• Design, develop, and maintain data pipelines and ETL/ELT processes.
• Build and optimize data models, data warehouses, and data lakes.
• Ensure data quality, integrity, and reliability.
• Collaborate with data analysts, data scientists, and business stakeholders.
• Monitor and troubleshoot data pipeline issues.
• Implement data governance and security best practices.
• Optimize database performance and query efficiency.
• Support reporting and analytics initiatives.
Required Qualifications
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
• Strong SQL skills and experience with relational databases.
• Experience building ETL/ELT pipelines.
• Proficiency in Python, Scala, or Java.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Experience with data warehousing concepts.
• Strong analytical and problem-solving skills.
Preferred Qualifications
• Experience with Snowflake, Databricks, Redshift, BigQuery, or Synapse.
• Experience with Apache Spark, Kafka, Airflow, or Hadoop ecosystem.
• Knowledge of data lake and lakehouse architectures.
• Experience with CI/CD and DevOps practices.
• Familiarity with BI tools such as Power BI or Tableau.
Job Title: Data Engineer
Location: Rutherford, NJ (Hybrid)
Duration: 6 months (Right to Hire)
Job Overview
We are seeking a Data Engineer to build and maintain scalable data pipelines and data infrastructure that support analytics, reporting, and data-driven decision-making. The ideal candidate will have experience working with large datasets, ETL processes, cloud platforms, and modern data technologies.
Responsibilities
• Design, develop, and maintain data pipelines and ETL/ELT processes.
• Build and optimize data models, data warehouses, and data lakes.
• Ensure data quality, integrity, and reliability.
• Collaborate with data analysts, data scientists, and business stakeholders.
• Monitor and troubleshoot data pipeline issues.
• Implement data governance and security best practices.
• Optimize database performance and query efficiency.
• Support reporting and analytics initiatives.
Required Qualifications
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
• Strong SQL skills and experience with relational databases.
• Experience building ETL/ELT pipelines.
• Proficiency in Python, Scala, or Java.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Experience with data warehousing concepts.
• Strong analytical and problem-solving skills.
Preferred Qualifications
• Experience with Snowflake, Databricks, Redshift, BigQuery, or Synapse.
• Experience with Apache Spark, Kafka, Airflow, or Hadoop ecosystem.
• Knowledge of data lake and lakehouse architectures.
• Experience with CI/CD and DevOps practices.
• Familiarity with BI tools such as Power BI or Tableau.






