Dice is the leading career destination for tech experts at every stage of their careers. Our client, Metalight Solutions Inc, is seeking the following. Apply via Dice today! **Job Title: Python Developer / Senior Data Engineer** **Client:** Apex System/CVS **Location:** Remote **Duration:** 12 Months (Contract to Hire) **Openings:** 5 **Job Description** - Design, develop, and support scalable data ingestion and processing pipelines on Google Cloud Platform (Google Cloud Platform). - Migrate and modernize existing big data workloads from Hadoop to Google Cloud Platform. - Automate data ingestion workflows currently handled through manual processes. - Build and maintain data pipelines using Python and Spark / PySpark. - Execute large-scale data processing jobs using Dataproc. - Develop and run Python scripts using Google Cloud Functions and Google Kubernetes Engine (GKE). - Ingest data from multiple external sources such as providers, healthcare groups, and hospitals. - Process and manage structured, semi-structured, and unstructured data, including denormalized datasets. - Work with cloud-based relational databases such as Cloud SQL (Postgres, Oracle, or similar). - Ensure data quality, reliability, and performance across pipelines. - Collaborate with cross-functional teams to support application-facing data needs. - Contribute to AI-driven initiatives, including data preparation and pipeline development for AI/ML use cases. **Must Have Skills** - Strong hands-on Python programming experience. - Solid experience with Spark / PySpark for big data processing. - Experience working in Google Cloud Platform (Google Cloud Platform) environments. - Knowledge of Google Cloud Platform services such as Dataproc, BigQuery, Cloud Functions, GKE, Cloud SQL. - Experience handling large-scale, denormalized, structured & unstructured datasets. - Strong understanding of data ingestion, transformation, and automation. **Nice To Have Skills** - Experience building or supporting AI / ML pipelines. - Exposure to AI model development or inference pipelines using Python. - Background in cloud-native data architecture and automation.