

AWS Data Engineer (Need Locals to Newark, NJ) Hybrid Role
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Data Engineer in Newark, NJ, on a 6+ month contract at $45.00 - $50.00 per hour. Requires proficiency in AWS services, SQL, ETL, and programming (Python/Java). Must have 1 year of relevant experience.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
400
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ποΈ - Date discovered
June 24, 2025
π - Project duration
More than 6 months
-
ποΈ - Location type
Hybrid
-
π - Contract type
Unknown
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π - Security clearance
Unknown
-
π - Location detailed
East Newark, NJ 07029
-
π§ - Skills detailed
#Business Analysis #Data Engineering #Lambda (AWS Lambda) #Java #AWS (Amazon Web Services) #Data Modeling #Data Storage #Data Integrity #Redshift #Data Pipeline #DMS (Data Migration Service) #Data Security #S3 (Amazon Simple Storage Service) #Python #Compliance #Cloud #Data Warehouse #SAP #Security #Data Processing #Programming #"ETL (Extract #Transform #Load)" #Storage #Data Science #Data Extraction #Monitoring #Data Quality #SQL (Structured Query Language) #Scala #Data Analysis
Role description
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Job Title: AWS Data Engineer/Developer
Location: Newark, NJ (Hybrid role )
Duration: 6 + Months with Extensions
The AWS Data Engineer is responsible for design, build, and maintains data processing systems and pipelines on the AWS cloud platform utilizing AWS services like S3, Redshift, DMS, and Glue like to construct scalable, reliable, and efficient data solutions. Responsibilities include data modeling, ETL processes, and ensuring data quality and security.
Location: This position is located in Newark, NJ. Qualified candidate must be in a commutable distance and able to go into the office as needed. This team typically goes into the office 2+ days a week.
Responsibilities:
Design, implement, and maintain data pipelines, data warehouses, and other data solutions using AWS services.
Develop and implement ETL (Extract, Transform, Load) processes for data extraction, transformation, and loading into data storage systems.
Create and manage data models to ensure data integrity and facilitate efficient data analysis.
Implement and maintain data security and compliance measures, including access controls, encryption, and data masking.
Ensure data quality, accuracy, and consistency through data validation, cleansing, and monitoring.
Collaborate with data scientists, business analysts, SAP functional SMEs and other stakeholders to understand requirements and deliver data solutions that meet business needs.
Diagnose and resolve data-related issues and performance bottlenecks.
Keep up with the latest AWS services and data engineering best practices.
Required Education & Experience:
Bachelorsβ degree in Information Technology or related field. Additional years of experience may be considered in lieu of a degree.
Proficiency in AWS services such as S3, Redshift, DMS, Glue, and Lambda.
Experience with data warehousing concepts and technologies.
Strong SQL skills for data querying and manipulation.
Proficiency in programming languages like Python or Java.
Understanding of data modeling principles and techniques.
Experience with ETL (Extract, Transform, Load) processes and tools.
Knowledge of data security best practices and compliance requirements.
Strong problem-solving and analytical skills.
Excellent communication and collaboration skills.
Job Types: Full-time, Contract
Pay: $45.00 - $50.00 per hour
Expected hours: 40 per week
Schedule:
8 hour shift
Experience:
AWS Data Engineer: 1 year (Required)
SQL: 1 year (Required)
ETL: 1 year (Required)
Python: 1 year (Required)
Java: 1 year (Preferred)
Work Location: In person