Engineer, Data Engineer

Position: Engineer I
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 Dev Ops/Data Ops experience required
• Knowledge/working experience in reporting tools such as Micro Strategy, 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 time frames 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 Better Help and Headspace
• Charitable donations matched by Ross Stores Foundation
• And more....

* benefits vary by level and position and are subject to change