Back
Popular Data Engineer title and metro location increase competition, but seniority and specialized skills moderate applicant density.
Data engineering skills transfer across industries, but enterprise cloud and Teradata experience increases domain specificity.
Explicit 10-year requirement plus mandatory Python, AWS, and Terraform skills enforce strict candidate filtering.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, build, and maintain high-performance, real-time data pipelines and infrastructure for autonomous AI systems.
Develop, test, document, and deploy components based on design specs, including building CI/CD pipelines.
Provide work estimates and guide feature and technology development impacting product success.
Minimum 10 years of professional experience in data engineering or related fields.
Strong proficiency in Python programming for data pipeline development.
Hands-on experience with AWS services such as Glue, Lambda, S3, RDS, and related networking and security configurations.
Experience with CI/CD tools such as Jenkins or GitLab for build and deployment workflows.
Experienced in architecting scalable data infrastructures with a focus on real-time pipeline development and autonomous systems.
Capable of owning end-to-end delivery independently, with strong problem-solving and communication skills.
Familiar with cloud infrastructure as code (Terraform) and security best practices, with additional experience in large-scale data platforms and cost/performance optimization.