[Hiring] Senior Data Engineer @Kohl's

Role Description

As Senior Data Engineer, you will lead the development and ownership of domain data products, including batch, streaming and artificial intelligence/machine learning (AI/ML) feature pipelines. You will drive design decisions that improve data reliability, performance and governance maturity while standardizing patterns that scale across teams. You will partner cross-functionally to enable analytics, ML and GenAI use cases with trusted data.

• Design, build and maintain batch, streaming and real-time Artificial Intelligence (AI) feature pipelines to extract data from diverse source systems and producers (APIs, events, databases, files) ensuring efficient ingestion, transformation and publishing.
• Design, refine and implement scalable data models, semantic layers and data contracts to promote consistency, reuse and accessibility.
• Own the end-to-end data product lifecycle for the domain. Define and maintain data contracts, including service level agreements (SLAs), schema expectations, quality metrics and consumer ownership, to ensure a reliable and trustworthy experience.
• Partner with cross functional teams to co-design scalable data solutions that meet business needs and clearly define the boundaries between data pipeline responsibilities and model-building activities.
• Develop automated workflows and Continuous Integration / Continuous Deployment (CI/CD) pipelines using tools such as Airflow, Apache Spark and Python to drive reliability and faster delivery.
• Implement validation, observability and evaluation frameworks that ensure accuracy, lineage and timeliness across data pipelines and large language model (LLM) outputs.
• Apply and enforce governance, privacy and compliance standards (GDPR, PCI DSS, CCPA), ensuring data security and traceability.
• Partner with cross functional teams to translate business needs into technical data solutions that scale across domains.
• Drive performance tuning, automation and adoption of AI-powered data tools to enhance data platform efficiency.
• Mentor data engineers and champion best practices for maintainable, governed and reusable data assets.
• Own cost and performance tradeoffs for domain data products and monitor compute usage, storage growth and unit cost to implement optimizations that reduce spend while meeting SLAs.
• Additional tasks may be assigned.

Qualifications

• 4+ years designing, building and optimizing data pipelines and models in production, ideally within large-scale cloud environments.
• Proficiency in SQL and Python (or Scala) for data development, testing and automation.

Requirements

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

Benefits

• Ability to perform the accountabilities listed in the “What You’ll Do” Section.
• Ability to maintain prompt and regular attendance as set by the company.
• Ability to work at least 8 hours per day, occasionally longer when necessary to meet business needs, 5 days per week.
• Ability to comply with dress code requirements.
• Ability to learn and comply with all company policies, procedures, standards and guidelines.
• Ability to give direction and receive, understand and proactively respond to direction from leadership and other company personnel.
• Ability to work as part of a team and interact effectively and appropriately with others.
• Ability to maintain composure and work in a fast paced environment while accomplishing multiple tasks within established timeframes.
• Ability to satisfactorily complete company training programs.
• Perform work in accordance with the Physical/Cognitive Requirements section.

Physical/Cognitive Requirements

• Ability to use a personal computer for tasks such as communicating, preparing reports, etc.
• Ability to plan, prioritize and monitor activities across business units.
• Ability to complete or oversee the completion of assigned projects in a timely manner.
• Ability to comply with health and safety standards.