Senior Data Engineer: AI-Powered Data Pipelines Lead

Kohl's; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

Kohl’s is seeking a Senior Data Engineer to lead domain data products, including batch, streaming and AI/ML feature pipelines. You will drive data reliability, governance and scalable patterns across teams while enabling analytics, ML and GenAI use cases with trusted data.

You will own end-to-end data product lifecycles, define data contracts and SLAs, and partner with cross-functional teams to deliver robust data platforms with observable pipelines and secure data practices.

Qualifications

• 4+ years designing, building and optimizing data pipelines and models in production.
• Proficiency in SQL and Python (or Scala) for data development, testing and automation.
• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering or a related field.
• Experience with Apache Spark for large-scale data processing and performance optimization.
• Experience using Airflow/Cloud Composer/Dagster for orchestration, transformation and CI/CD pipelines.
• Experience with cloud warehouses/lakes (BigQuery, Redshift, Snowflake) and object storage.
• Experience designing streaming pipelines using Kafka, Pub/Sub, spark
• Strong understanding of dimensional modeling, normalization and schema design for analytics and GenAI integration into data products
• Experience with data testing, lineage, monitoring and observability frameworks to ensure data integrity and reliability

Responsibilities

• Design, build and maintain batch, streaming and real-time AI feature pipelines.
• Refine and implement scalable data models, semantic layers and data contracts.
• Own end-to-end data product lifecycle, including SLAs, schema expectations and quality metrics.
• Partner with cross-functional teams to define scalable data solutions and boundaries.
• Develop automated CI/CD pipelines using Airflow, Spark and Python.
• Implement validation, observability and evaluation frameworks for data and LLM outputs.
• Apply governance, privacy and compliance standards (GDPR, PCI DSS, CCPA).
• Translate business needs into scalable data solutions across domains.
• Drive performance, automation and adoption of AI-powered data tools.
• Mentor data engineers and promote best practices.
• Manage cost and performance tradeoffs and monitor compute/storage usage.

Skills

SQL

Python/Scala

Education

CS/IS/Data Eng degree

Job description

Kohl’s is seeking a Senior Data Engineer to lead domain data products, including batch, streaming and AI/ML feature pipelines. You will drive data reliability, governance and scalable patterns across teams while enabling analytics, ML and GenAI use cases with trusted data.

You will own end-to-end data product lifecycles, define data contracts and SLAs, and partner with cross-functional teams to deliver robust data platforms with observable pipelines and secure data practices.