Senior Data Engineer

Job Description

POSITION SUMMARY : We are seeking an experienced AI Data Engineer to build andoptimizedata pipelines that power AI/ML solutions across ETS. This role contributes to data collection efforts through the design and deployment of data instruments, oversees aggregation and cleaning processes, and collaborates with data scientists and ML engineers to interpret and implement findings. The position is critical to preparing high-quality, scalable, and compliant data for advanced analytics, automation, and machine learning use cases while supporting data visualization and trend analysis efforts.

PRIMARY RESPONSIBILITIES

• Design and implement robust, scalable data pipelines to support AI/ML model development and deployment
• Clean, transform, and curate structured and unstructured data from diverse sources to ensure model-ready quality
• Collaborate with data scientists, ML engineers, and business teams to ensure data readiness, usability, and alignment with AI objectives
• Develop andmaintainmetadata management, data lineage, and data quality frameworks to support AI governance and compliance
• Enable advanced feature engineering capabilities and implement real-time data streaming solutions for AI applications
• Design and deploy data collection instruments and oversee data aggregation processes
• Ensure data compliance, privacy, and ethical use standards across all AI workflows
• Support enterprise-wide data initiatives including business glossary development, taxonomy creation, and the DARE program's automation goals

Must Have -
. Python & advanced SQL
. Spark / distributed processing
. Cloud platforms (AWS)
. Airflow / orchestration tools
. Data pipeline automation
. Data governance & quality

Nice to have -
. Kafka/Kinesis streaming
. Feature stores
. LLM‑ready data pipelines
. MLOps exposure

Mandatory Competencies