Data Engineer (Databricks, Spark, ETL)

Title: Data Engineer II Location: Remote (EST/CST Support) Employment Type: Contract Status: Accepting Candidates About the role Seeking a Data Engineer to design and optimize scalable data pipelines and support large-scale data processing initiatives. This role focuses on building efficient ETL workflows and leveraging distributed systems to drive data reliability and performance. Key Responsibilities • Develop and maintain ETL pipelines for large-scale data processing • Build solutions using Python and Apache Spark • Implement and optimize data models and distributed computing frameworks • Apply best practices in data structures, algorithms, and design patterns • Collaborate with cross-functional teams to support data-driven initiatives Qualifications • 5–10 years of experience in data engineering or related field • Strong expertise in Python, Apache Spark, and R • Hands-on experience with ETL processes, data modeling, and distributed systems • Solid understanding of software design patterns and algorithms • Bachelor’s degree in Computer Science, Computer Engineering, or related field