Data Engineer (PySpark, Python) - Only W2/1099

Data Engineer (PySpark, Python) Charlotte, NC 12+ Months Contract Job Description: Responsibilities: • Design, develop, and optimise large-scale data pipelines using PySpark and Python. • Implement and adhere to best practices in object-oriented programming to build reusable, maintainable code. • Write advanced SQL queries for data extraction, transformation, and loading (ETL). • Collaborate closely with data scientists, analysts, and stakeholders to gather requirements and translate them into technical solutions. • Troubleshoot data-related issues and resolve them in a timely and accurate manner. • Leverage AWS cloud services (e.g., S3, EMR, Lambda, Glue) to build and manage cloud-native data workflows (preferred). • Participate in code reviews, data quality checks, and performance tuning of data jobs. Required Skills & Qualifications: • 3–6 years of relevant experience in a data engineering or backend development role. • Strong hands-on experience with PySpark and Python, especially in designing and implementing scalable data transformations. • Solid understanding of Object-Oriented Programming (OOP) principles and design patterns. • Proficient in SQL, with the ability to write complex queries and optimise performance. • Strong problem-solving skills and the ability to troubleshoot complex data issues independently. • Excellent communication and collaboration skills. Preferred Qualifications (Nice to Have): • Experience working with AWS cloud ecosystem (S3, Glue, EMR, Redshift, Lambda, etc.). • Exposure to data warehousing concepts, distributed computing, and performance tuning. • Familiarity with version control systems (e.g., Git), CI/CD pipelines, and Agile methodologies.