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
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Lead the development of high-quality applications that are robust, observable and measurable using extreme programming (XP) practices and a user-centric approach
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Participate in the entire application lifecycle in collaboration with designers, product managers, and other engineers on the product team
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Leverage critical thinking, experimentation, data, and industry best practices to implement desired business outcomes
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Facilitate group discussions and team ceremonies and develop a shared context
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Give and receive feedback that’s empathetic, actionable and specific
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Practice emergent architecture with sane defaults and build software that is easy to use and easy to modify
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Establish and lead product engineering and software standards
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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
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Research and stay up to date on tech market trends and practices
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Lead technical initiatives not only on the team but also across the department
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Additional tasks may be assigned
Addendum
SENIOR BIG DATA SOFTWARE ENGINEER
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Develop, automate, and maintain batch and streaming ETL pipelines using Apache Airflow, Apache Spark, Python, and Scala.
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Build and manage cloud-based data ecosystems on GCP (BigQuery, Bigtable, Dataproc, Pub/Sub, Cloud Storage, IAM, VPC).
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Design and optimize SQL and NoSQL data models for data lakes and warehouses (BigQuery, MongoDB, Snowflake).
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Write complex SQL queries for advanced data transformation, aggregation, and analytics optimization within BigQuery or equivalent platforms.
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Apply modern Test-Driven Development (TDD) methodologies for big data pipelines, ensuring test automation across Airflow workflows, Spark jobs, and transformation logic.
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Apply data mesh and data-as-a-product principles to enable reusable and domain-driven datasets.
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Implement real time ingestion with Kafka Connect and process streaming data using Spark Streaming, Apache Flink, or similar technologies
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Optimize data performance, scalability, and cost efficiency across GCP components.
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Ensure compliance with PCI and PII data with standards such as GDPR, PCI DSS, SOX, and CCPA.
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Integrate GenAI tools such as OpenAI, Gemini, and Anthropic LLMs for intelligent data quality and analytics enhancement.
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Collaborate with stakeholders, data scientists, and full stack engineers to deliver trusted, documented, and reusable data products
What Skills You Have
Required
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4+ years of experience in software development
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Understanding of application design patterns, event-driven architecture, database, schemas and testing strategies
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In-depth knowledge and experience with continuous integration, continuous deployment and test-driven development
Preferred
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Bachelor's Degree or equivalent in MIS, Computer Science or related field
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Experience with large-scale application troubleshooting and performance tuning
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Exposure working with major cloud platforms (GCP, AWS, or Azure)
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Familiarity and experience with XP (Extreme Programming)