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
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💰 - Day rate
800
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🗓️ - Date
June 3, 2026
🕒 - Duration
More than 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
#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.