Engineer, Data Engineer

Data Engineer

The Data Engineer plays a critical role in engineering data solutions that support Ross reporting and analytic needs. As a key member of the Data engineering team, you will work on diverse data technologies such as Snowflake, dbt, data ops and others to build insightful, scalable, and robust data pipelines that feed our various analytics platforms.

Base Salary: $99,900 - $130,000. The range depends on experience, skills, qualifications, education, certifications, seniority, and location. This is one component of the total compensation package. Other rewards vary by position and location.

• Develop data engineering pipelines that support Ross reporting and analytic needs.
• Engineer efficient, adaptable, and scalable data pipelines for moving data from various sources into our Cloud Lakehouse.
• Understand and analyze business requirements and translate them into data pipelines and transformations.
• Design, build, and manage data objects across the data analytics platform.
• Develop and deploy performance optimization methodologies.
• Drive timely and proactive issue identification, escalation, and resolution.
• Collaborate effectively within Data Technology teams and Business Information teams to design and build optimized data flows from source to data visualization.

• 5–8 years of in-depth data engineering experience and execution of data pipelines, data ops, scripting, and SQL queries.
• Minimum 3 years of experience in modern data architecture that supports advanced analytics including Snowflake, Azure, etc. Experience with Snowflake and other Cloud Data Warehousing / Data Lake preferred.
• Experience engineering data pipelines using various data technologies – ETL/ELT, big data technologies (Hive, Spark) on large‑scale data sets.
• Proficient in at least one of these programming languages:
  Java, Python.
• Experience adding data lineage, technical glossary from data pipelines to data catalog tools.
• Experience in data analysis – analyzing SQL, Python scripts, ETL/ELT transformation scripts.
• Experience in data orchestration with tools like Ctrl‑M, Apache Airflow. Hands‑on Dev Ops/Data Ops experience required.
• Experience working in an Agile environment preferred; familiarity with the retail domain preferred.
• Knowledge/working experience in reporting tools such as Micro Strategy, Power BI a plus.
• Strong communication skills are required, with the ability to give and receive information, explain complex information in simple terms, and maintain a strong customer service approach to all users.
• Self‑driven individual with the ability to work independently or as part of a project team.
• Ability to creatively problem‑solve complex technical problems.
• Ability to provide accurate estimates of time frames necessary to complete data engineering activities.
• Bachelor’s Degree in Computer Science, Information Systems, Engineering, Business Analytics, or Business Management.

• Broad range of affordable health insurance options and personal medical plan concierge.
• 401(k) with employer match and life insurance.
• Ample PTO including accrued vacation, paid holidays, diversity day, summer Fridays, and the ability to purchase additional vacation.
• Employee stock purchase plan.
• Access to health and wellness benefits such as Better Help and Headspace.
• Charitable donations matched by Ross Stores Foundation.
• Benefits vary by level and position and are subject to change.