Data Engineer

Title: Data Engineer Location: Charlotte, NC • Hybrid 2 days in office, 3 days work from home Model: Contract role 12 months potential extensions Pay: $60-$65/hr Required Skills & Experience • 7-10+ years of experience in Data Engineering with a strong focus on AWS Cloud • Proficiency in Python, SQL, and PySpark. • Hands-on experience with the following • AWS Glue • Apache Kafka • Amazon S3 • AWS Lambda • AWS Step Functions • CloudFormation Templates (CFT)/Terraform • Basic understanding of AI concepts • 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. Nice to Have Skills & Experience • AWS certifications (e.g., AWS Certified Data Analytics, Solutions Architect) • Experience with other cloud platforms (Azure, GCP) • Familiarity with containerization (Docker, ECS) and orchestration tools (Airflow, Step functions) • Knowledge of data governance frameworks and compliance standards Job Description • 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. • Write 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.