Senior 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 stackranked 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.

Senior Big Data Software Engineer

• 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 GCP (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 dataasaproduct principles to enable reusable and domaindriven 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 GCP 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.

What Skills You Have

Required

• 4+ years of experience in software development
• Understanding of application design patterns, eventdriven architecture, database, schemas and testing strategies
• Indepth knowledge and experience with continuous integration, continuous deployment and testdriven development

Preferred

• Bachelors Degree or equivalent in MIS, Computer Science or related field
• Experience with largescale application troubleshooting and performance tuning
• Exposure working with major cloud platforms (GCP, AWS, or Azure)
• Familiarity and experience with XP (Extreme Programming)