Engineer I

About the role

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, 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.

Responsibilities

• 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

Requirements

• 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
• Experience working in an Agile Environment preferred, Familiarity with Retail domain preferred
• 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
• Bachelor's Degree in Computer Science, Information Systems, Engineering, Business Analytics, Business Management

Qualifications

• 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

Skills

• Experience with Snowflake, dbt, and other cloud data technologies
• Proficiency in SQL, Python, and Java
• Experience with data orchestration tools like Ctrl-M, Apache Airflow
• Experience in Agile environments
• Familiarity with retail domain

Benefits

• 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

Pay

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.

Schedule

Not specified