Data Engineer

Job Summary We are seeking a highly skilled Data Engineer with strong experience in AWS-based data pipelines and modern data engineering practices. The ideal candidate will be hands-on with Python/PySpark, possess solid API development knowledge, and demonstrate proficiency in version control and database change management tools. Experience with AI implementation in data engineering is a strong plus. location: Charlotte, North Carolina job type: Contract salary: $60 - 68 per hour work hours: 9am to 6pm education: Masters Responsibilities Key Responsibilities • Design, build, and maintain scalable data pipelines primarily on AWS. • Work extensively with AWS services, including S3, Lambda, and Glue. • Develop and maintain code using Python and PySpark. • Build and integrate APIs leveraging FastAPI or similar frameworks. • Use GitHub or GitLab for version control, ensuring clean and maintainable code. • Apply Liquibase for database versioning and schema change management (mandatory). • Contribute to AI-enhanced data engineering initiatives (nice to have). • Work with prompt engineering, Markdown (MD) files, and RAG (Retrieval-Augmented Generation) concepts when applicable. • Present and walk through previous projects to demonstrate hands-on experience and problem-solving capabilities. Required Qualifications • Proven experience as a Data Engineer (approx. 90% of role focus). • Strong AWS experience: S3, Lambda, Glue. • Proficiency in Python and PySpark. • Experience with FastAPI or similar API development frameworks. • Proficiency with GitHub or GitLab. • Liquibase experience is mandatory. • Bachelor's and Master's graduation years must be provided. Preferred / Nice-to-Have Skills ~10% AI implementation experience within data engineering workflows. • Familiarity with: • Prompt engineering • Markdown documentation • RAG concepts • Ability to clearly articulate past project work and technical decisions. Qualifications We are seeking a highly skilled Data Engineer with strong experience in AWS-based data pipelines and modern data engineering practices. The ideal candidate will be hands-on with Python/PySpark, possess solid API development knowledge, and demonstrate proficiency in version control and database change management tools. Experience with AI implementation in data engineering is a strong plus. Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status. At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com. Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility). This posting is open for thirty (30) days.