Senior Data Engineer: Real-Time Pipelines & AI on GCP

Ulta Beauty; Bolingbrook (IL); On-site; USD 103,000 - 140,000; Full time

Job summary

Ulta Beauty is seeking a Senior Data Engineer to design and deliver scalable data pipelines on GCP and Databricks, supporting batch and real-time processing. You will collaborate with engineers and analysts to build robust data solutions and advance machine learning initiatives.

The role requires 5+ years in data engineering, strong Java/Python, and cloud experience. Expect complex problem solving, production support, and occasional after-hours work. Competitive compensation and benefits.

Qualifications

• Bachelor’s degree in computer science, a related field, or applicable work experience.

Responsibilities

• Design, develop, and support scalable batch and real-time data pipelines across GCP and Databricks.
• Build data engineering solutions on GCP using BigQuery, Dataflow, Airflow, Cloud Composer, GCS, Pub/Sub, and related services.
• Develop and support ingestion, curation, transformation, and consumption pipelines on Databricks with Spark and Delta Lake.
• Optimize SQL, Spark, BigQuery, and Databricks workloads for performance and cost efficiency.
• Support automated deployment, code promotion, version control, and CI/CD with GitHub/Jenkins, Docker, and shell scripts.
• Collaborate with cross-functional teams to gather requirements, solve problems, and deliver quality results.
• Mentor junior engineers on data engineering best practices and cloud development.

Skills

GCP

Databricks

Java

Python

SQL/NoSQL

Spark

BigQuery

Kafka Streams

Docker

CI/CD

Unix/Linux

Education

Bachelor's degree in computer science

Tools

GitHub

Jenkins

Docker

Airflow

Job description

Ulta Beauty is seeking a Senior Data Engineer to design and deliver scalable data pipelines on GCP and Databricks, supporting batch and real-time processing. You will collaborate with engineers and analysts to build robust data solutions and advance machine learning initiatives.

The role requires 5+ years in data engineering, strong Java/Python, and cloud experience. Expect complex problem solving, production support, and occasional after-hours work. Competitive compensation and benefits.