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AWS Data Engineer

SANSNewark, NJ🇺🇸United StatesPosted 7 Aug 2026

Why This Role Stands Out

This hybrid AWS Data Engineer role offers significant growth potential through leading complex data projects and mentoring a talented team, perfect for experienced engineers seeking to deepen their AWS expertise and make a substantial impact. You'll thrive here if you possess strong leadership skills and a passion for building robust, scalable data solutions within a collaborative environment. Apply today to join a reputable organization that values innovation and professional development!

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

  • 7 plus years of experience in data engineering, with at least 3 years in technical leadership or lead engineer role.
  • Extensive hands-on experience with AWS data services Glue, Redshift, S3, Lambda, EMR/Spark, Kinesis, Athena, RDS, API Gateway, etc.
  • Proficient in programming languages such as Python and SQL.
  • Experience with Shell scripting and Scala is a plus. Strong experience designing, implementing, and managing data lakes, data warehouses, and data ingestion pipelines on AWS.
  • Proven experience with ETL/ELT processes, data modeling, and big data frameworks. Demonstrated ability to lead, mentor, and coach engineers in a collaborative team environment.
  • Experience with DevOps practices, CI CD pipelines, and infrastructure-as-code tools like CloudFormation, Terraform.
  • Excellent problem-solving, communication, and organizational skills.

Skills

SQL
Scala
Shell
API Gateway
AWS
ETL
CloudFormation
Python
Redshift
Terraform

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