JSR Tech Consulting

Data Engineer - AWS, Python

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer specializing in AWS and Python, with a contract length of "unknown" and a pay rate of $60-$70 per hour. It requires strong AWS experience, data lake implementation, and relevant certifications, located in a hybrid setting in Newark, NJ.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
July 4, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Newark, NJ
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🧠 - Skills detailed
#Computer Science #Database Systems #AWS Lambda #Data Warehouse #Cloud #RDS (Amazon Relational Database Service) #S3 (Amazon Simple Storage Service) #SQL (Structured Query Language) #Data Engineering #Data Ingestion #SQS (Simple Queue Service) #Aurora #DynamoDB #"ETL (Extract #Transform #Load)" #Shell Scripting #Redshift #IAM (Identity and Access Management) #Athena #Scripting #Lambda (AWS Lambda) #AWS (Amazon Web Services) #Databases #Data Lake #Kafka (Apache Kafka) #Spark (Apache Spark) #Storage #Unit Testing #API (Application Programming Interface) #Elasticsearch #Amazon RDS (Amazon Relational Database Service) #Programming #Strategy #Python
Role description
Description: AWS Data Engineer contract position with a major investment firm. Hybrid 3 days/week in Newark, NJ. Qualifications: • Bachelor's degree in computer science, Software Engineering, MIS or equivalent combination of education and experience • Experience implementing, supporting data lakes, data warehouses and data applications on AWS for large enterprises • Programming experience with Python, Shell scripting and SQL • Solid experience of AWS services such as CloudFormation, S3, Athena, Glue, EMR/Spark, RDS, Redshift, DynamoDB, Lambda, Step Functions, IAM, KMS, SM etc. • Solid experience implementing solutions on AWS based data lakes. • Should have good experience with AWS Services - API Gateway, Lambda, Step Functions, SQS, DynamoDB, S3, Elasticsearch • Serverless application development using AWS Lambda • Experience in AWS data lake/data warehouse/business analytics • Experience in system analysis, design, development, and implementation of data ingestion pipeline in AWS • Knowledge of ETL/ELT • End-to-end data solutions (ingest, storage, integration, processing, access) on AWS • Architect and implement CI/CD strategy for EDP • Implement high velocity streaming solutions using Amazon Kinesis, SQS, and Kafka (preferred) • Migrate data from traditional relational database systems, file systems, NAS shares to AWS relational databases such as Amazon RDS, Aurora, and Redshift • Migrate data from APIs to AWS data lake (S3) and relational databases such as Amazon RDS, Aurora, and Redshift • Implement POCs on any new technology or tools to be implemented on EDP and onboard for real use-case • AWS Solutions Architect or AWS Developer Certification preferred • Good understanding of Lakehouse/data cloud architecture Responsibilities: • Designing, building and maintaining efficient, reusable, and reliable architecture and code. • Build reliable and robust Data ingestion pipelines (within AWS, onprem to AWS ,etc.) • Ensure the best possible performance and quality of high scale data engineering project • Participate in the architecture and system design discussions • Independently perform hands on development and unit testing of the applications. • Collaborate with the development team and build individual components into complex enterprise web systems. • Work in a team environment with product, production operation, QE/QA and cross functional teams to deliver a project throughout the whole software development cycle. • Responsible to identify and resolve any performance issues • Keep up to date with new technology development and implementation • Participate in code review to make sure standards and best practices are met. payrate: 60 - 70 per hour depending on experience