Senior Data Engineer (Remote)

Kohl's

Remote

Quick summary

Work type
Remote
Location
Remote
Posted
95 days ago

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Salary context

How this pay compares to similar roles

Similar $182k
$132k most similar roles pay here $232k

This listing doesn't post a salary. Most similar roles pay $141,606–$222,425.

Based on 240 similar postings.

Employer

About Kohl's

Kohl’s is a leading American omnichannel retailer operating over 1,100 department stores in 49 states and a strong e-commerce site (Kohls.com).

Kohl's currently has 13 open roles on FindRole.

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At a glance

TL;DR · Senior Data Engineer (Remote)

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As a Senior Software Engineer at Kohl’s, you will lead the development of high-quality applications using extreme programming practices, collaborating closely with design, product, and engineering teams. You’ll participate in all stages of the application lifecycle, leveraging data and industry best practices to achieve business outcomes while facilitating team discussions and ceremonies. Additionally, you will develop and maintain batch and streaming ETL pipelines using Apache Airflow, Spark, Python, and Scala on GCP, ensuring compliance with data security standards like GDPR and PCI DSS. Key responsibilities include designing scalable SQL and NoSQL data models, optimizing cloud-based data ecosystems for performance and cost efficiency, and integrating GenAI tools for enhanced analytics. Essential skills include 4+ years of software development experience, expertise in continuous integration/deployment, test-driven development, and familiarity with XP methodologies.

Skills

ApacheAirflow ApacheSpark Python Scala GCP BigQuery MongoDB Snowflake SQL NoSQL Test-DrivenDevelopment TDD DataMesh KafkaConnect SparkStreaming ApacheFlink PCI GDPR SOX CCPA OpenAI GenAI AnthropicLLMs CI/CD XP ExtremeProgramming

What you'll do

  • Lead the development of high-quality applications using extreme programming practices.
  • Develop and maintain batch and streaming ETL pipelines on GCP platforms.
  • Design and optimize SQL and NoSQL data models for cloud-based ecosystems.
  • Write complex SQL queries for advanced data transformation and analytics.
  • Apply Test-Driven Development methodologies to ensure automated testing.
  • Implement real-time ingestion with Kafka Connect and process streaming data.

What we're looking for

  • 4+ years of software development experience
  • Expertise in continuous integration, deployment, and test-driven development
  • Proficiency in Apache Airflow, Spark, Python, Scala for ETL pipelines
  • Experience managing cloud-based data ecosystems on GCP platforms
  • Knowledge of SQL and NoSQL data models for data lakes and warehouses
  • Ability to optimize data performance, scalability, and cost efficiency

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