Senior Software Engineer (Data Engineering)

Kohl's•Tallahassee, FL

About The Position

As a 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. You will lead the development of high-quality applications that are robust, observable, and measurable using extreme programming (XP) practices and a user-centric approach. You will participate in the entire application lifecycle in collaboration with designers, product managers, and other engineers on the product team. You will leverage critical thinking, experimentation, data, and industry best practices to implement desired business outcomes. You will facilitate group discussions and team ceremonies and develop a shared context. You will give and receive feedback that’s empathetic, actionable, and specific. You will practice emergent architecture with sane defaults and build software that is easy to use and easy to modify. You will establish and lead product engineering and software standards. You will 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. You will research and stay up to date on tech market trends and practices. You will lead technical initiatives not only on the team but also across the department. Additional tasks may be assigned.

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
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

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
Perform additional tasks as assigned