Sr. Data Engineer, AWS and AI

We are seeking a Sr. Data Engineer in Charlotte, NC, who has deep expertise in AWS Cloud technologies, AI/ML integration, and big data engineering. The ideal candidate will have strong programming skills, hands-on experience with scalable data pipelines, and a passion for leveraging cloud-native tools to drive intelligent data solutions. Python and SQL experience is required!

Client Details

This opportunity is with a large organization in the financial services industry. The company is dedicated to leveraging advanced technology to innovate and streamline its operations, maintaining a strong reputation in the market.

Description

• Design and optimize data infrastructure: Build scalable data pipelines, data lakes, and data warehouses using AWS Glue, Apache Kafka, AWS Lambda, Step Functions, and Amazon S3, ensuring performance, reliability, and security.

• Develop and maintain code and automation: Write efficient, reusable, and testable Python, SQL, and PySpark code, and implement infrastructure as code using CloudFormation Templates (CFT).

• Integrate AI/ML workflows: Collaborate with Data Scientists and ML Engineers to deploy AI/ML models into production-grade data workflows while maintaining data quality and governance.

• Contribute to architecture and strategy: Participate in architectural discussions, monitor system performance, troubleshoot issues, and support cloud strategy and best practices.

MPI does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, marital status, or based on an individual's status in any group or class protected by applicable federal, state or local law. MPI encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants.

Profile

• 5+ years of Data Engineering experience with a strong focus on AWS Cloud, including hands-on work with AWS Glue, Apache Kafka, Amazon S3, AWS Lambda, Step Functions, and CloudFormation Templates (CFT).

• Proficient in Python, SQL, and PySpark, with solid experience building and maintaining scalable, production-grade data pipelines.

• Strong understanding of AI/ML concepts and experience integrating models into data workflows, along with familiarity with CI/CD tools and DevOps practices in cloud environments.

• Excellent problem-solving skills with the ability to thrive in fast-paced, collaborative team settings.

Job Offer

• Access to Michael Page benefits for the duration of the assignment.
• Opportunity to work with a large organization within the financial services industry.
• Chance to contribute to innovative AI and data engineering projects.

If you are passionate about data engineering and have a strong background in AI and AWS, apply today to join a leading organization in Charlotte!

MPI does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, marital status, or based on an individual's status in any group or class protected by applicable federal, state or local law. MPI encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants.