Engineer I

Our values start with our people, join a team that values you! Bring your talents to Ross, our leading off-price retail chain with over 2,200 stores, and a strong track record of success and growth. Our focus has always been bringing our customers a constant stream of high-quality brands and on-trend merchandise at extraordinary savings. All while providing a fun and exciting treasure hunt experience. As part of our team, you will experience: Success. Our winning team pursues excellence while learning and evolving Career growth. We develop industry leading talent because Ross grows when our people grow Teamwork. We work together to solve the hard problems and find the right solution Our commitment to Diversity, Equality & Inclusion, and our community. We celebrate the backgrounds, identities, and ideas of those who work and shop with us because our differences make us stronger. We strive to be a positive force in our community. Our Corporate headquarters are in Dublin, CA, we have 3 buying offices in key markets in New York City, Los Angeles, and Boston, and 8 distribution centers nationwide. With 2025 revenues of $22.8 billion, we are a Fortune 500 company who is committed to providing an inclusive work environment with continuous learning opportunities and development for our teams. About this opportunity... The Data Engineer plays a critical role in engineering of data solutions that support Ross reporting and analytic needs. As a key member of the Data engineering team, will work on diverse data technologies such as Steramsets, dbt, data ops and others to build insightful, scalable, and robust data pipelines that feed our various analytics platforms. The base salary range for this role is $99,900 - $130,000. The base salary range is dependent on factors including, but not limited to, experience, skills, qualifications, relevant education, certifications, seniority, and location. The range listed is just one component of the total compensation package for employees. Other rewards vary by position and location. What you will do and what you will learn... Develop data engineering pipelines that support Ross reporting and analytic needs Engineer efficient, adaptable, and scalable data pipelines for moving data from different sources into our Cloud Lakehouse Understand and analyze business requirements and translate 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 & resolution Collaborate effectively within Data Technology teams, Business Information teams to design and build optimized data flows from source to Data visualization What you need to be successful... 5-8 years 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 support advanced analytics including Snowflake, Azure, etc. Experience with Snowflake and other Cloud Data Warehousing / Data Lake preferred Experience in engineering data pipelines using various data technologies - ETL/ELT, big data technologies (Hive, Spark) on large-scale data sets demonstrated through years of experience Proficient in at least one of these programming languages: Java, Python Experience with 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 experience in tools like Ctrl-M, Apache Airflow. Hands on DevOps/Data Ops experience required Knowledge/working experience in reporting tools such as MicroStrategy, Power BI would be a plus Self-driven individual with the ability to work independently or as part of a project team Experience working in an Agile Environment preferred, Familiarity with Retail domain preferred Experience with Steramsets, dbt preferred 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 Ability to work independently, creatively problem solve complex technical problems Ability to provide accurate estimates of timeframes necessary to complete Data engineering activities Bachelor's Degree in Computer Science, Information Systems, Engineering, Business Analytics, Business Management Perks and Benefits of joining our team... Our Associates are at the heart of everything we do and we're proud to offer a range of benefits that reflect how much we value their contributions. Here's a peek into what you can expect as an eligible Ross Associate: A broad range of affordable health insurance options & 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 BetterHelp and Headspace Charitable donations matched by Ross Stores Foundation And more.... *benefits vary by level and position and are subject to change #J-18808-Ljbffr