Senior Data Engineer

Kohl's

Confirmed live yesterday High trust

Remote

Quick summary

Work type: Remote
Location: Remote
Employment: Full-time
Posted: 41 days ago
Freshness: Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $166k

$115k $213k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $128,005–$203,111.

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 10 open roles on FindRole.

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At a glance

TL;DR · Senior Data Engineer

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As a Senior Data Engineer (Remote), you will join the product team to develop high-quality, observable applications using extreme programming practices. You will lead the development of batch and streaming ETL pipelines, managing cloud-based data ecosystems on GCP including BigQuery, Bigtable, Dataproc, Pub/Sub, and Cloud Storage. Your daily responsibilities involve designing SQL and NoSQL data models for data lakes, writing complex queries for advanced transformations, and implementing real-time ingestion with Kafka Connect and Spark Streaming. You will utilize Python, Scala, Apache Airflow, and Apache Spark while applying Test-Driven Development and data mesh principles. The role focuses on optimizing performance and cost efficiency across GCP components while ensuring compliance with PCI and PII standards like GDPR and CCPA to deliver trusted, reusable data products.

What does a Data Engineer earn?

Median $159125 from 199 postings across 61 companies.

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Skills

Python Scala Apache Spark Apache Airflow GCP BigQuery Kafka Apache Flink SQL NoSQL MongoDB Snowflake TDD Extreme Programming Data Mesh OpenAI Gemini Anthropic LLMs Pub/Sub Dataproc Bigtable Cloud Storage

What you'll do

Lead the development of robust, observable applications using Extreme Programming (XP) practices.
Develop, automate, and maintain batch and streaming ETL pipelines using Apache Airflow, Spark, Python, and Scala.
Build and manage cloud-based data ecosystems on GCP including BigQuery, Dataproc, and Pub/Sub.
Design and optimize SQL and NoSQL data models for data lakes and warehouses.
Implement real-time data ingestion using Kafka Connect and process streaming data with Spark Streaming or Flink.
Apply Test-Driven Development (TDD) methodologies to ensure test automation across all data pipelines.
Integrate GenAI tools like OpenAI and Gemini for intelligent data quality and analytics enhancement.
Establish and lead product engineering standards and technical initiatives across the department.

What we're looking for

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.
Develop and maintain batch and streaming ETL pipelines using Apache Airflow, Apache Spark, Python, and Scala.
Build and manage cloud-based data ecosystems on GCP, including BigQuery, Bigtable, Dataproc, Pub/Sub, Cloud Storage, IAM, and VPC.
Design and optimize SQL and NoSQL data models for data lakes and warehouses.
Implement real-time ingestion with Kafka Connect and process streaming data using Spark Streaming or Apache Flink.
Bachelor's Degree or equivalent in MIS, Computer Science, or a related field (preferred).

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