IT Analyst Applications ( Data Engineer – AI & Analytics )
Core
Design and build robust data pipelines, features, and platforms to power analytics, machine learning, and GenAI use cases (predictive maintenance, parts demand forecasting, warranty analytics, intelligent knowledge retrieval) for engineering, manufacturing, supply chain, and digital products.
Role type
Senior IC Data Engineer (AI & Analytics)
Builds
Scalable batch/streaming pipelines, feature stores, inference APIs, and GenAI RAG pipelines for internal and external client services.
Domain
Industrial manufacturing (Caterpillar) + Data Engineering & AI/ML
Required skills
Snowflake, SQL, Python, ETL tools (Snaplogic), Cloud platforms (AWS/Azure/GCP), Data warehousing (Redshift), MLOps, Vector databases, RAG patterns
Preferred skills
Telematics/IoT data handling, Schema evolution, Model serving (Databricks/MLflow), Infrastructure-as-code, Security/Privacy compliance
Technologies
Snowflake, Parquet, Iceberg, Delta, Great Expectations, Deequ, Snaplogic, Databricks, MLflow, Azure ML, AWS, Azure, GCP, Redshift
Responsibilities
Design and maintain scalable data pipelines for telematics, SAP, PLM, and MES systems; Model data for lakehouse/warehouse architectures; Partner with Data Scientists to productionize models and manage feature stores; Implement CI/CD, observability, and security/compliance controls for data platforms.
Seniority
Senior, hands-on IC
