via Dice
$120K - 200K a year
Build and maintain secure, scalable data pipelines, implement CI/CD automation, and establish monitoring solutions.
10+ years of data engineering experience, proficiency in Python and SQL, hands-on AWS services experience, and knowledge of ETL/ELT processes.
Role: AWS Data Engineer Location: Remote Mail: Role Summary: The Data Engineer will build and maintain secure, scalable, and automated data pipelines to support the ingestion, transformation, and curation of data products. This role will focus on implementing CI/CD pipelines, automated testing, and monitoring solutions. Key Responsibilities: Data Pipelines: • Develop configuration-driven ingestion and transformation pipelines using AWS Glue, Lambda, and Redshift. Automation: • Implement CI/CD pipelines for automated build, test, and deployment of data products. Testing: • Establish automated test frameworks for schema validation, data quality, and performance testing. Monitoring: • Set up monitoring and observability dashboards for product-level metrics (CloudWatch, custom metrics). Collaboration: • Work with data modelers and architects to ensure alignment with business requirements. Required Skills: Programming: • Proficiency in Python, SQL, and shell scripting. AWS Expertise: • Hands-on experience with AWS services (Glue, Redshift, S3, Lambda, CloudWatch). Automation: • Experience with CI/CD tools (Terraform, Jenkins, AWS CodePipeline). Data Integration: • Strong knowledge of ETL/ELT processes and frameworks. Soft Skills: • Strong problem-solving, collaboration, and communication skills. Qualifications: • Bachelor s degree in computer science, Data Engineering, or related field. • 10+ years of experience in data engineering and pipeline development. • AWS Certified Data Analytics or AWS Certified Developer is a plus.
This job posting was last updated on 2/16/2026