Senior AWS Data Engineer — Data Lakes & Pipelines

Quantum Technologies. LLC; New Jersey; On-site; USD 120,000 - 180,000; Full time

Job summary

Quantum Technologies. LLC is seeking an experienced AWS Data Engineer to design, develop, and maintain scalable data pipelines in the AWS cloud.

The role collaborates with data scientists, analysts, and business stakeholders to deliver robust data solutions, focusing on data lakes and data warehouses with a strong emphasis on cost efficiency and reliability. Jersey/New Jersey location preferred; remote options not stated.

Qualifications

• 8+ years of experience designing and supporting data lakes and data warehouses on AWS.
• Strong Python, Shell scripting, and SQL skills.
• Extensive experience with AWS services: Glue, Redshift, S3, Lambda, EMR/Spark, Kinesis, SQS, IAM, KMS.
• Experience with serverless architectures and CI/CD for data platforms.
• Excellent communication and teamwork.

Responsibilities

• Design, build, and maintain scalable data pipelines and architectures on AWS.
• Develop ETL/ELT processes to ingest and process data from multiple sources.
• Migrate data to data lakes (S3) and data warehouses (Redshift, RDS, Aurora).
• Implement streaming solutions using Kinesis, SQS, and Kafka (preferred).
• Collaborate with data scientists, analysts, and stakeholders throughout the SDLC.
• Lead code reviews and promote best practices in data engineering.

Skills

Python

SQL

AWS

Education

Bachelor’s degree in Computer Science or related

Tools

CloudFormation

S3

Glue

EMR/Spark

Redshift

Lambda

Kinesis

IAM

KMS

Job description

Quantum Technologies. LLC is seeking an experienced AWS Data Engineer to design, develop, and maintain scalable data pipelines in the AWS cloud.

The role collaborates with data scientists, analysts, and business stakeholders to deliver robust data solutions, focusing on data lakes and data warehouses with a strong emphasis on cost efficiency and reliability. Jersey/New Jersey location preferred; remote options not stated.