Python Data Engineer / API Developer- Need Only Local to Salt Lake City, Utah

Title: Python Data Engineer / API Developer Location: Salt Lake City, Utah (Onsite) Duration: Contract Key: Python, PySpark, GCP, API development Job Description We are seeking a highly skilled Python Data Engineer / API Developer with strong hands-on experience in PySpark, cloud-based data engineering on GCP, and API development. The ideal candidate should have expertise in building scalable data pipelines, working with distributed clusters, and developing secure APIs for enterprise-grade applications. Key Responsibilities • Design, develop, and maintain scalable data pipelines for batch and/or real-time processing. • Build and optimize PySpark applications running on distributed clusters. • Develop secure and scalable Python-based APIs. • Work with cloud-native GCP services including BigQuery, Composer, DAGs, and Cloud Storage Buckets. • Implement data quality checks, validations, and monitoring frameworks within pipelines. • Collaborate with cross-functional teams including data analysts, BI teams, and platform engineers. • Ensure performance optimization, reliability, and security best practices across solutions. Required Skills & Qualifications • Strong hands-on experience with PySpark and distributed cluster computing. • Proven experience in building Python APIs with a focus on security and scalability. • Strong knowledge of API frameworks such as FastAPI or Flask. • Hands-on experience with Google Cloud Platform (GCP) services: • BigQuery • Composer • DAG orchestration • Cloud Storage Buckets • Experience in building robust batch and/or real-time data pipelines. • Strong understanding of data quality frameworks and practices. Preferred Skills • Experience with BI and reporting tools such as: • Power BI • MicroStrategy • Familiarity with CI/CD pipelines and DevOps practices is an added advantage. • Exposure to data governance and monitoring tools is a plus.