W2 Only :: Data Engineer (ETL, AWS, DMS, Data Pipelines, Cloud)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer (ETL, AWS, DMS, Data Pipelines, Cloud) in Princeton, NJ, on a long-term contract. Requires 3-7 years of data engineering experience, proficiency in SQL and Python, and expertise in AWS services.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
June 3, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Princeton, NJ
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🧠 - Skills detailed
#Spark (Apache Spark) #Airflow #AWS DMS (AWS Database Migration Service) #AWS (Amazon Web Services) #Kafka (Apache Kafka) #S3 (Amazon Simple Storage Service) #DMS (Data Migration Service) #Cloud #Redshift #Data Modeling #Data Pipeline #Data Lake #PostgreSQL #Infrastructure as Code (IaC) #"ETL (Extract #Transform #Load)" #Databases #MySQL #SQL (Structured Query Language) #Python #Lambda (AWS Lambda) #Terraform #DynamoDB #Scala #Computer Science #Data Engineering #NoSQL #Data Manipulation #Apache Spark
Role description
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Job Title : Data Engineer (ETL, AWS, DMS, Data Pipelines, Cloud)
Location : Princeton, NJ(Onsite)
Long Term Contract
Job Description:
Required Skills & Qualifications:
• Bachelor’s/master’s degree in computer science, Data Engineering, or a related field.
• 3-7 years of experience in ETL development and data engineering.
• Strong proficiency in SQL, Python, or Scala for data manipulation.
• Expertise in AWS cloud services (DMS, Glue, Redshift, S3, Lambda, Step Functions, EMR).
• Experience working with relational and NoSQL databases (PostgreSQL, MySQL, DynamoDB, etc.).
• Hands-on experience with Apache Spark, Kafka, or Airflow is a plus.
• Knowledge of data warehousing concepts and data lake architectures.
• Strong understanding of data modeling, performance tuning, and query optimization.
• Experience with CI/CD pipelines and Infrastructure as Code (Terraform, CloudFormation) is a plus
