Senior Software Engineer (Data Engineering)

KOHLS•Menomonee Falls, WI

About The Position

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.

Requirements

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
Experience in SQL and NOSQL data modeling for cloud data lakes.
Understanding of data as a product or data mesh topologies using cloud data lakes like Google Big Query, Amazon Redshift or Snowflake
Experience building and performance tuning ETL pipelines using Technologies like Apache Airflow, spark, python/scala.
Knowledge of real-time streaming technologies like Kafkaconnect, and Flume for messaging and streaming pipelines.
Experience handling PCI/PII data adhering to compliance standards like GDPR, PCI DSS, SOX, CCPA
Experience in designing and integrating GenAI tools and technologies like OpenAI, Gemini and Llama LLMs

Nice To Haves

Preferred experience working with GCP data stack and infrastructure, including GCS, Dataproc, Pubsub, IAM, VPC Network.
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 (GCP, AWS, or Azure)
Familiarity and experience with XP (Extreme Programming)

Responsibilities

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