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.