Senior Data Engineer (Remote)

About the role

About the Role

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

Addendum

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 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 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, 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 (GCP, AWS, or Azure)

Familiarity and experience with XP (Extreme Programming)

Posting text as published by Kohl's.

The evidence behind this listing

Workplace

Remote Employer field

Seniority

senior From the job title

Employment type

Not established

Location as listed

N56 W17000 Ridgewood Dr, Menomonee Falls, WI 53051

Pay and work authorization

Stated pay

Not stated

Visa sponsorship

Not stated

Security clearance

Not established

Citizenship

Not established