AWS Data Engineer

  • Atlanta, GA
  • Posted 12 hours ago | Updated 12 hours ago

Overview

Hybrid
$50 - $60
Contract - W2
Contract - 12 Month(s)
50% Travel
Able to Provide Sponsorship

Skills

Agile
Amazon Redshift
Amazon S3
Amazon Web Services
Apache Avro
Apache Parquet
Cloud Computing
Collaboration
Continuous Delivery
Continuous Integration
Cross-functional Team
Data Engineering
Data Integrity
Data Modeling
Data Processing
Data Quality
Data Warehouse
DevOps
ELT
Electronic Health Record (EHR)
Extract
Transform
Load
Git
JSON
Optimization
Python
SQL
Scripting
Step-Functions
Version Control
Workflow

Job Details

We are looking for a highly skilled and experienced Senior AWS Data Engineer to join our team for a hybrid role in Atlanta, GA. The ideal candidate will have deep experience with AWS cloud-based data platforms, ETL pipeline development, and large-scale data processing.

Key Responsibilities:

  • Design, build, and maintain scalable and reliable data pipelines on AWS.

  • Develop ETL/ELT workflows using AWS services like Glue, Lambda, Redshift, S3, Athena, and Step Functions.

  • Optimize performance and ensure high data quality and availability.

  • Collaborate with data architects, data scientists, analysts, and business stakeholders to understand data needs.

  • Monitor and troubleshoot production data pipelines and data integrity issues.

  • Implement best practices for security, performance, and cost optimization in cloud-based data systems.

  • Participate in code reviews, Agile ceremonies, and cross-functional team collaboration.

Required Skills:

  • 8+ years of experience in data engineering, with at least 4+ years on AWS.

  • Strong hands-on experience with AWS data services: Glue, Redshift, S3, Lambda, EMR, Athena.

  • Proficient in Python, SQL, and data transformation scripting.

  • Solid understanding of data modeling, data warehousing, and ETL/ELT frameworks.

  • Experience working with structured and semi-structured data (JSON, Parquet, Avro).

  • Strong knowledge of DevOps practices (CI/CD, version control using Git).

  • Ability to work in a hybrid work model and coordinate with on-site teams.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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