Senior Data Engineer

Kohl's

Remote Actively hiring Posted this week
Remote (Kohl'S Corporate Offices (0900), US) Posted 6 days ago

At a glance

AI generated

TL;DR

As a Senior Data Engineer on our data engineering team, you will lead the development of domain-specific data products, including batch, streaming, and AI/ML feature pipelines. Your responsibilities include designing scalable data models, implementing CI/CD pipelines using tools like Apache Spark and Airflow, and ensuring data governance and compliance with standards such as GDPR and CCPA. You will work closely with cross-functional teams to translate business needs into technical solutions that scale across domains, while also mentoring junior engineers and driving the adoption of AI-powered data tools. The ideal candidate has 4+ years of experience in designing and optimizing large-scale data pipelines in cloud environments, proficiency in SQL and Python, and a strong understanding of dimensional modeling and schema design for analytics and GenAI integration.

Skills

Python Apache Spark Airflow SQL Kafka BigQuery Snowflake Redshift CI/CD Docker PostgreSQL Git AWS Google Cloud Azure Terraform Prometheus Grafana GDPR PCI DSS CCPA

What you'll do

  • Design and maintain batch, streaming, and real-time AI feature pipelines for diverse data sources.
  • Develop scalable data models and semantic layers to ensure consistency and accessibility across teams.
  • Define and enforce data contracts including SLAs, schema expectations, and quality metrics for reliability.
  • Implement automated workflows and CI/CD pipelines using tools like Airflow and Apache Spark for faster delivery.
  • Apply governance standards (GDPR, PCI DSS) to ensure data security and compliance in all data solutions.

What we're looking for

  • 4+ years of experience designing, building, and optimizing data pipelines in large-scale cloud environments.
  • Proficient in SQL and Python (or Scala) for data development, testing, and automation.
  • Experience with Apache Spark or equivalent tools for large-scale data processing.
  • Knowledge of Airflow/Cloud Composer/Dagster for orchestration and CI/CD pipeline management.
  • Familiarity with cloud warehouses/lakes like BigQuery, Redshift, Snowflake, and object storage solutions.
  • Strong understanding of dimensional modeling and schema design for analytics and AI integration.
  • Ability to apply governance standards (GDPR, PCI DSS) and ensure data security and traceability.

Employer

About Kohl's

Kohl’s is a leading American omnichannel retailer operating over 1,100 department stores in 49 states and a strong e-commerce site (Kohls.com).

Kohl's currently has 9 open roles on FindRole.

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