Description

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 transparent 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
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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

Basic Qualifications

- 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)
- Bachelor's degree

Preferred Qualifications

- 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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