Data Engineer I, CMT

The Data Engineer I role within the Data Platform and Analytics team is a foundational technical position responsible for building and maintaining modern data infrastructure that powers business intelligence and advanced analytics at scale. This role focuses on engineering real-time data processing systems for AI/ML workloads delivering data-as-a-product with clear SLAs and managing AWS-native pipeline architectures. Working at the intersection of data engineering and AI systems the Data Engineer I creates reliable scalable infrastructure that enables intelligent data access automated workflows and advanced analytics driving actionable insights for business stakeholders.



Key job responsibilities
Modern Data Infrastructure & Real-Time Processing
Engineer modern data infrastructure supporting real-time data processing for AI/ML inference and training workloads
Build semantic layers enabling intelligent query routing and context-aware data access
Develop infrastructure for AI-powered automated workflows and orchestration
Implement AI-driven data quality entity resolution and metadata management solutions

Data-as-a-Product Delivery
Own end-to-end accountability for data products from ingestion to consumption
Deliver data products with clear SLAs quality metrics and customer satisfaction measures
Build self-service platforms with embedded governance lineage and discovery capabilities
Establish data contracts and APIs for reliable versioned data consumption

AWS Infrastructure & Pipeline Engineering
Manage AWS resources including EC2 Lambda S3 Redshift and EMR
Build high-quality data pipelines supporting analysts data scientists and downstream consumers
Implement CDC and event-driven architectures for real-time data availability
Deploy infrastructure-as-code using CDK


- 1 years of data engineering experience
- Experience with SQL
- Experience with data modeling warehousing and building ETL pipelines
- Experience with one or more query language (e.g. SQL PL/SQL DDL MDX HiveQL SparkSQL Scala)
- Experience with one or more scripting language (e.g. Python KornShell)
- Bachelors degree

- Experience with big data technologies such as: Hadoop Hive Spark EMR
- Experience with any ETL tool like Informatica ODI SSIS BODI Datastage etc.

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