BIG DATA SOFTWARE ENGINEER

As Senior Software Engineer, you will collaborate closely with design, product and engineering experts to tackle real-world challenges and deliver innovative solutions that elevate Kohl’s retail offerings.

What You’ll Do

• Lead the development of high-quality applications that are robust, observable and measurable using extreme programming (XP) practices and a user-centric approach
• Participate in the entire application lifecycle in collaboration with designers, product managers, and other engineers on the product team
• Leverage critical thinking, experimentation, data, and industry best practices to implement desired business outcomes
• Facilitate group discussions and team ceremonies and develop a shared context
• Give and receive feedback that’s empathetic, actionable and specific
• Practice emergent architecture with sane defaults and build software that is easy to use and easy to modify
• Establish and lead product engineering and software standards
• Ideate a new product from a user perspective, starting with one or more problem spaces and ending with a stack-ranked list of feasible solutions to test
• Research and stay up to date on tech market trends and practices
• Lead technical initiatives not only on the team but also across the department
• Additional tasks may be assigned, * Develop, automate, and maintain batch and streaming ETL pipelines using Apache Airflow, Apache Spark, Python, and Scala.
• Build and manage cloud-based data ecosystems on Google Cloud Platform (BigQuery, Bigtable, Dataproc, Pub/Sub, Cloud Storage, IAM, VPC).
• Design and optimize SQL and NoSQL data models for data lakes and warehouses (BigQuery, MongoDB, Snowflake).
• Write complex SQL queries for advanced data transformation, aggregation, and analytics optimization within BigQuery or equivalent platforms.
• Apply modern Test-Driven Development (TDD) methodologies for big data pipelines, ensuring test automation across Airflow workflows, Spark jobs, and transformation logic.
• Apply data mesh and data-as-a-product principles to enable reusable and domain-driven datasets.
• Implement real time ingestion with Kafka Connect and process streaming data using Spark Streaming, Apache Flink, or similar technologies
• Optimize data performance, scalability, and cost efficiency across Google Cloud Platform components.
• Ensure compliance with PCI and PII data with standards such as GDPR, PCI DSS, SOX, and CCPA.
• Integrate GenAI tools such as OpenAI, Gemini, and Anthropic LLMs for intelligent data quality and analytics enhancement.
• Collaborate with stakeholders, data scientists, and full stack engineers to deliver trusted, documented, and reusable data products

• 4+ years of experience in software development
• Understanding of application design patterns, event-driven architecture, database, schemas and testing strategies
• In-depth knowledge and experience with continuous integration, continuous deployment and test-driven development

Preferred

• Bachelor’s Degree or equivalent in MIS, Computer Science or related field
• Experience with large-scale application troubleshooting and performance tuning
• Exposure working with major cloud platforms (Google Cloud Platform, AWS, or Azure)
• Familiarity and experience with XP (Extreme Programming)

Essential Functions

The requirements listed below are representative of functions you will be required to perform, however you may be required to perform additional functions. Kohl’s may revise this job description from time to time. To perform this job successfully, you must be able to perform each essential function satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions, absent undue hardship.

• Ability to perform the accountabilities listed in the “What You’ll Do” Section
• Ability to comply with dress code requirements
• Basic math and reading skills, legible handwriting, and basic computer operation
• Ability to maintain prompt and regular attendance and meet scheduling requirements as set by the company
• Ability to learn and comply with all company policies, procedures, standards and guidelines
• Ability to give direction and to 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
• 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