Senior Data Engineer

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. We’re engineering for the future of retail, and it’s no-holds-barred. But for those motivated by continual change and ambiguity, by superior leadership, by whip smart colleagues who will press you daily for your very best, you’ll find that virtually nothing’s impossible at Ulta Beauty.

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. Collaborate with cross-functional technologists and 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. Support the operations of the deployed solutions, investigate complex issues and assist with the resolution and implementation of preventive measures. Assist with evaluation of Proof of Concepts (POCs), project estimation and engage 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 of 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 having 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. 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. #J-18808-Ljbffr ULTA Beauty