Sr Data Engineer

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

Benefits offered by this job

Health benefits

Dental and Vision benefits

Life and Disability insurance

Paid time off

Job summary

Ulta Beauty is seeking a Senior Data Engineer to design and build scalable batch and real-time data pipelines on Google Cloud Platform and Databricks. You will collaborate with engineers, analysts and developers to deliver robust data solutions and ML/agentic AI capabilities that enhance guest experience.

The role requires 5+ years in data engineering, expertise in GCP/Databricks, and hands-on experience with BigQuery, Spark and streaming.

Qualifications

• Bachelor’s degree or applicable work experience in computer science or related field.
• 5+ years of development experience with GCP services, Databricks (GCP preferred) and exposure to AI agentic development capabilities.
• Deep understanding of large data warehouse ecosystems and platform re-platforming on Google Cloud and Databricks.
• Experience designing and developing data pipelines for batch and real-time ingestion using Spark streaming.
• Passion for new technologies, continuous improvement, and designing data solutions with monitoring and alerting policies.
• Proficiency in Java, Python or other scripting languages, and SQL/NoSQL databases.
• Experience with BigQuery, Databricks, Spark, Kafka Streams; testing and automation using Docker, GitHub, Jenkins and Unix/Linux shells.
• Hands-on in Enterprise Integration Patterns and coding best practices; proactive in issue detection and prevention.
• Strong work ethic, team player, and ability to operate in onshore/offshore models.

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, Cloud Composer/Airflow, GCS, Pub/Sub and related services.
• Develop and optimize Databricks pipelines with Spark, Delta Lake, notebooks, workflows, and Databricks SQL.
• Tune SQL, Spark, BigQuery, and Databricks workloads for performance and cost efficiency.
• Support automated deployment, code promotion, CI practices using Docker, GitHub, Jenkins and shell scripts.
• Collaborate with cross-functional teams to gather requirements and deliver quality results.
• Mentor junior engineers on data engineering best practices, cloud development, and data quality.
• Assist with POC evaluation, project estimation, performance testing, and large data set tuning.
• Provide production support and handle off-hours deployment needs and issue resolution.

Skills

Data engineering

GCP

Databricks

Python

Java

SQL

NoSQL

Spark

Docker

GitHub

Jenkins

Unix/Linux shell

Education

Bachelor’s degree in computer science or related field

Tools

BigQuery

Databricks

Spark

Kafka Streams

Docker

GitHub

Jenkins

Job description

OVERVIEW

Live the experience. From professional empowerment to continual learning opportunities. From ongoing investment in new and emerging technologies to a career of self-determination. At Ulta Beauty, our tech team is critical to our scalability—and is recognized that way. We’ve been defined as a “mature start-up.” A place where interdepartmental exposure, open doors, and genuine collaboration is ubiquitous. Where challenges come fast and furious, requiring agility, mental dexterity, and creativity. Where our passion for better solutions drives us and is core to who we are.

THE IMPACT YOU CAN MAKE

The Senior Data Engineer is responsible for supporting, planning and coordinating functional and technical activities related to data engineering in a highly dynamic and fast paced environment. They work alongside engineers, analysts and developers to deliver scalable robust innovative technical solutions. This position plays a key role in building batch and real-time data pipelines, streaming analytics and developing machine learning and agentic AI solutions on our GCP and Databricks platforms to enhance Ulta guest experience.

YOU'LL ACCOMPLISH THESE GOALS BY:

• Design, develop, and support scalable batch and real-time data pipelines for large-scale data processing across enterprise platforms like Google Cloud Platform and Databricks.
• Build data engineering solutions on GCP using services such as BigQuery, Dataflow, Cloud Composer/Airflow, GCS, Pub/Sub, APIs, and related cloud services.
• Develop and support data ingestion, curation, transformation, and consumption pipelines on Databricks using Spark, Delta Lake, notebooks, workflows/jobs, and Databricks SQL where applicable.
• Optimize SQL, Spark, BigQuery, and Databricks workloads for performance, reliability, scalability, and cost efficiency.
• Support automated deployment, code promotion, version control, and continuous integration practices using tools such as GitHub/Bitbucket, Jenkins, Docker, shell scripting, and other DevOps tools.
• Collaborates with cross-functional technologists ad business partners across the organization to gather requirements, solve new problems and deliver quality results.
• Mentor junior engineers and consultants on data engineering best practices, coding standards, cloud development, data quality, and operational excellence.
• Supports the operations of the deployed solutions, investigates complex issues and assists with the resolution and implementation of preventive measures.
• Assists with evaluation of Proof of Concepts (POCs), project estimation and engages in performance testing and tuning activities for large data sets.

ESSENTIALS FOR SUCCESS:

• Bachelor’s degree in computer science, a related field, or applicable work experience.
• 5 years of development experience on various GCP services, Databricks (GCP preferred) and exposure to AI agentic development capabilities.
• In-depth understanding large data warehouse ecosystems underlying architectures to re-platform legacy systems and build integration solutions on Google Cloud platform and Databricks.
• Experience in design and development of data pipelines leveraging batch and real-time data ingestion frameworks and spark streaming
• Experience Have a passion for new technologies, continuous improvement and actively involved with the team to design new data solutions, monitoring and alerting policies for data solutions.
• Expertise in Java, Python or any scripting language, SQL/NoSQL Database systems.
• Experience in tools and technologies such as BigQuery, Databricks, Spark, Kafka Streams
• Experience in test automation ensuring data quality, continuous integrations build and deployment processes using Docker, GitHub, Jenkins and Unix/Linux shell scripts.
• Hands‑on experience developing complex services/solutions based on Enterprise Integration Patterns and Coding best practices.
• Proactive and able to catch issues before failures.
• Possess a strong work ethic; takes pride in producing a quality product and a strong team player
• Work with production support and project consultants in an onshore / offshore model
• Support off‑hours production issues and code deployments as needed
• Minimal travel required (training/conferences)

The pay range for this position is $102,900.00 - $140,000.00 / Year with the opportunity for eligible associates to earn additional compensation pursuant to the Company’s bonus plan. Exact pay will be based on factors including, but not limited to relevant education, qualifications, certifications, experience, level, shift, geographic location, and business and organizational needs. Full‑time positions are eligible for paid time off, health, dental, vision, life and disability benefits. Part‑time positions are eligible for dental, vision, life, and disability benefits. For additional information concerning our benefits, visit our Benefits and Career Development page: https://learn.bswift.com/ulta

ABOUT

At Ulta Beauty (NASDAQ: ULTA), the possibilities are beautiful. Ulta Beauty is the largest North American beauty retailer and the premier beauty destination for cosmetics, fragrance, skin care products, hair care products and salon services. We bring possibilities to life through the power of beauty each and every day in our stores and online with more than 25,000 products from approximately 500 well‑established and emerging beauty brands across all categories and price points, including Ulta Beauty’s own private label. Ulta Beauty also offers a full‑service salon in every store featuring—hair, skin, brow, and make‑up services.

We will consider for employment all qualified applicants, including those with arrest records, conviction records, or other criminal histories, in a manner consistent with the requirements of any applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, and the New York City Fair Chance Act.

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