Data Engineer

CSS Innovation Studios is seeking Data Engineers with strong PySpark and data engineering expertise to deliver AI and data-transformation programs for Oracles enterprise customers.

In this customer-facing role you will design build modernize and operationalize scalable data platforms and AI-driven data solutions on Oracle AI Data Platform (AIDP) and Oracle Cloud Infrastructure (OCI). You will collaborate with customer technical teams solution architects engineering leaders and Oracle product teams to accelerate AI adoption modernize data estates and deliver secure high-performing production solutions.

The role combines hands-on software and data engineering with technical consulting. You will develop scalable systems for generative AI large language models real-time analytics and modern data workloads; support platform implementations and migrations; and partner with architects product managers and engineers to apply Oracle product capabilities in customer deployments.

• 58 years of experience designing building and delivering scalable data platforms.
• Proven experience as a Data Engineer Software Engineer AI Engineer Consulting Engineer or similar technical role.
• Strong knowledge of modern cloud data platforms like Databricks.
• Strong hands-on experience with Apache Spark PySpark Delta Lake Python SQL and modern data ecosystems; experience with Scala Java or Kafka is a plus.
• Exposure to building AI agents and orchestration pipelines.
• Strong understanding of Spark architecture configuration distributed systems performance optimization and tuning.
• Experience modernizing analytics platforms and refactoring Spark and ETL workloads.
• Working understanding of networking concepts to support data connectivity configuration and troubleshooting.
• Working knowledge of DataOps CI/CD Infrastructure as Code data security governance metadata lineage and observability.
• Strong communication customer collaboration and stakeholder-management skills.

Design and deliver Oracle AI Data Platform solutions including platform implementations and migrations.

• Build scalable governed AI-ready data pipelines software components and services for data consolidation integration transformation and data products.
• Develop Lakehouse Medallion streaming and real-time analytics solutions on OCI using Spark PySpark Delta Lake Parquet Flink and distributed-systems patterns.
• Build AI/ML and Generative AI data pipelines including feature engineering feature extraction MLOps workflows and vector-ready datasets.
• Assess and modernize workloads by refactoring PySpark and ETL code and optimizing Spark configuration partitioning memory adaptive query execution reliability and performance.
• Develop APIs SDKs web applications and automation frameworks that simplify adoption of Oracle AI Data Platform and Generative AI services.
• Contribute to reusable migration accelerators reference architectures automation frameworks and delivery methodologies.
• Contribute to engineering excellence across CSS and continuously evaluate emerging AI cloud and data-engineering practices.