AWS Data Engineer: Scalable Pipelines & Secure Cloud

CCT; Tulsa (OK); On-site; Full time

Job summary

A data solutions provider based in Tulsa, Oklahoma, is seeking an AWS Data Engineer to design, implement, and maintain robust data solutions on AWS. The ideal candidate will have over 5 years of experience and a Bachelor's degree in a data-centric field. Responsibilities include building scalable data pipelines, managing AWS infrastructure, and optimizing ETL workflows. The role requires strong analytical skills and the ability to communicate effectively across teams. This position offers opportunities to innovate on AWS solutions.

Qualifications

• Minimum 5 years of applicable work experience in data engineering.
• Strong analytical skills to translate data into actionable insights.
• Experience in AWS services and data pipeline design.

Responsibilities

• Design and implement scalable data pipelines using AWS services.
• Develop and maintain data storage solutions on AWS.
• Implement monitoring and logging for real-time insights.

Skills

Data integration

AWS services (Glue, Kinesis)

Infrastructure-as-Code (IaC)

Data storage solutions

ETL workflows optimization

Analytical skills

Technical writing

Education

Bachelor’s Degree in a data-centric field

Tools

AWS CloudFormation

Amazon S3

Redshift

DynamoDB

Job description

A data solutions provider based in Tulsa, Oklahoma, is seeking an AWS Data Engineer to design, implement, and maintain robust data solutions on AWS. The ideal candidate will have over 5 years of experience and a Bachelor's degree in a data-centric field. Responsibilities include building scalable data pipelines, managing AWS infrastructure, and optimizing ETL workflows. The role requires strong analytical skills and the ability to communicate effectively across teams. This position offers opportunities to innovate on AWS solutions.