Senior AI Data Engineer

Responsibilities Kforce has a client that is seeking a Senior AI Data Engineer in Charlotte, NC. Key Tasks: • Design, build, and optimize scalable data pipelines using AWS Glue, Apache Kafka, AWS Lambda, and Step Functions • Develop and maintain robust data lakes and data warehouses on Amazon S3 • Implement infrastructure as code using CloudFormation Templates (CFT) • Collaborate with Data Scientists and ML Engineers to integrate AI/ML models into production-grade data workflows • Write efficient, reusable, and testable code in Python, SQL, and PySpark • Ensure data quality, governance, and security across all data platforms • Monitor and troubleshoot data pipeline performance and reliability • Participate in architectural discussions and contribute to cloud strategy and best practices Requirements • 10+ years of experience in Data Engineering with a strong focus on AWS Cloud • Proficiency in Python, SQL, and PySpark • Solid understanding of AI/ML concepts and experience integrating models into data pipelines • Experience with CI/CD tools and DevOps practices in cloud environments • Strong problem-solving skills and ability to work in a fast-paced, collaborative environment Hands-on experience with: • AWS Glue • Apache Kafka • Amazon S3 • AWS Lambda • AWS Step Functions • CloudFormation Templates (CFT) Preferred Qualifications • AWS certifications (e.g., AWS Certified Data Analytics, Solutions Architect) • Familiarity with containerization (Docker, ECS) and orchestration tools (Airflow, EMR) • Knowledge of data governance frameworks and compliance standards The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future. We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions. Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.