[Remote] Senior Data Engineer (Remote)

Note: The job is a remote job and is open to candidates in USA. Kohl's is seeking a Senior Data Engineer to collaborate with design, product, and engineering teams to enhance their retail offerings. The role involves leading the development of robust applications, managing cloud-based data ecosystems, and implementing data pipelines while ensuring compliance with data standards.ResponsibilitiesLead the development of high-quality applications that are robust, observable and measurable using extreme programming (XP) practices and a user-centric approachParticipate in the entire application lifecycle in collaboration with designers, product managers, and other engineers on the product teamLeverage critical thinking, experimentation, data, and industry best practices to implement desired business outcomesFacilitate group discussions and team ceremonies and develop a shared contextGive and receive feedback that’s empathetic, actionable and specificPractice emergent architecture with sane defaults and build software that is easy to use and easy to modifyEstablish and lead product engineering and software standardsIdeate 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 testResearch and stay up to date on tech market trends and practicesLead technical initiatives not only on the team but also across the departmentDevelop, automate, and maintain batch and streaming ETL pipelines using Apache Airflow, Apache Spark, Python, and ScalaBuild 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 platformsApply modern Test-Driven Development (TDD) methodologies for big data pipelines, ensuring test automation across Airflow workflows, Spark jobs, and transformation logicApply data mesh and data-as-a-product principles to enable reusable and domain-driven datasetsImplement real time ingestion with Kafka Connect and process streaming data using Spark Streaming, Apache Flink, or similar technologiesOptimize data performance, scalability, and cost efficiency across GCP componentsEnsure compliance with PCI and PII data with standards such as GDPR, PCI DSS, SOX, and CCPAIntegrate GenAI tools such as OpenAI, Gemini, and Anthropic LLMs for intelligent data quality and analytics enhancementCollaborate with stakeholders, data scientists, and full stack engineers to deliver trusted, documented, and reusable data productsSkills4+ years of experience in software developmentUnderstanding of application design patterns, event-driven architecture, database, schemas and testing strategiesIn-depth knowledge and experience with continuous integration, continuous deployment and test-driven developmentBachelor's Degree or equivalent in MIS, Computer Science or related fieldExperience with large-scale application troubleshooting and performance tuningExposure working with major cloud platforms (GCP, AWS, or Azure)Familiarity and experience with XP (Extreme Programming)Company OverviewKohl’s is a leading omnichannel retailer with more than 1,100 stores in 49 states. It was founded in 1988, and is headquartered in Menomonee Falls, Wisconsin, USA, with a workforce of 10001+ employees. Its website is https://corporate.kohls.com.Company H1B SponsorshipKohl's has a track record of offering H1B sponsorships, with 10 in 2024, 26 in 2021, 21 in 2020. Please note that this does not guarantee sponsorship for this specific role.