Engineer III (Data Engineering)

Welcome to Ross Stores, Inc., where our differences make us stronger… At Ross and dd’s, inclusion is a way of life. We care about our Associates and the communities we serve and we value their differences. We are committed to building diverse teams and an inclusive culture. We respect and celebrate the diversity of backgrounds, identities, and ideas of those who work and shop with us. Come join us as we continue our diversity, equality and inclusion journey!

The Data Engineer plays a critical role in data engineering and modelling 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 Streamsets, 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 $109,600 - $207,950. 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.

Benefits offered to all Associates include Accident, Critical Illness, Vision, Auto, Home, and Pet insurance programs; Associate Discount, Identity Protection, Associate Purchase Program, Benefit Hub Discount Mall, Employee Assistance Program and Commuter Benefits, 401K (service requirements), Employee Stock Purchase Program, Ross Cares Fund, College Discounts, Sick Pay (where legally required) and Referral Bonuses. In addition, all Full-Time Associates, including FT Retail Associate, Area Supervisor, Assistant Store Manager and Store Manager, are eligible for extended benefits offered including Medical/Dental/Vision Health Insurance, Legal Insurance, Vacation Buy, Flexible Spending Account, Health Savings Account, Life/ADD Insurance, Long- Term Disability, Enhanced Maternity and Parental Leave Benefit, Vacation Pay accrued at a rate of 15 days/year, 15 Personal and Company Holidays. AS, ASM and SM Associates in Stores and Exempt Corporate and Merchandising roles are also eligible to receive a Bonus based on individual and business performance.


• Design and Model 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

• Responsible for creating Conceptual/Logical Data model across different stages in the Lakehouse - Landing Zones, DL, ODS, DW, Semantic Layers across all Enterprise analytical solutions.

• Understand and analyze business requirements and translate into well-architected solutions that demonstrate the modern BI & Analytics platform

• Be a part of data modernization projects providing direction on matters of overall design and technical direction, acts as the primary driver toward establishing guidelines and approaches

• Model, design, build and manage data objects across the data analytics platform. Hands-on Data modeling for solutions implemented in Cloud Analytics platforms

• 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

• Work with business SMEs to develop long-term strategy for sustainable and flexible reporting architecture for various groups within the retail organization


• Building Effect Teams (for managers of People and Projects)

• Developing Talent (for managers of people only, N/A for this role/level)

• Collaboration

• Leading by Example

• Communicates Effectively

• Ensures Accountability and Execution

• Manages Conflict

• Business Acumen

• Plans, Aligns and Prioritizes

• Organizational Agility
With particular emphasis on the following specific position-related competencies:

• Problem Solving

• Written Communications

• Dealing with Ambiguity

• Time Management

• Composure

• Integrity & Trust

• Customer Focus

• Listening


• 8 + years in-depth, data engineering experience and execution of data pipelines, data ops, scripting and SQL queries

• 5+ years proven data modeling skills - must have demonstrable experience designing models for data warehousing and modern analytics use-cases (e.g., from operational data store to semantic models)

• 2-3 years' experience in modern data architecture that support advanced analytics including Snowflake, Azure, etc. Experience with Snowflake and other Cloud Data Warehousing / Data Lake preferred

• Expert 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

• Hands on data warehouse design, development, and data modeling best practices for modern data architectures

• Highly proficient in at least one of these programming languages: Java, Python

• Experience with modern data modelling tools, data preparation tools

• Experience with adding data lineage, technical glossary from data pipelines to data catalog tools

• Highly proficient in Data analysis - analyzing SQL, Python scripts, ETL/ELT transformation scripts

• Highly skilled 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 Streamsets, 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 and can provide guidance and training/mentoring to other team members

• Ability to provide accurate estimates of timeframes necessary to complete potential projects and develop project implementation plans

• Bachelor's Degree in Computer Science, Information Systems, Engineering, Business Analytics, Business Management

This position requires the ability to work in an office environment, including using a computer, attending meetings, working as part of a team, and the ability to communicate with team members and others.  Regular attendance also is a requirement of the position.
Vision requirements: Ability to see information in print and/or electronically.
This position may be performed remotely anywhere within the United States except it cannot be performed in the State of Colorado and New York City.


This job description is a summary of the primary duties and responsibilities of the job and position. It is not intended to be a comprehensive or all-inclusive listing of duties and responsibilities. Contents are subject to change at management's discretion.

Ross is an equal employment opportunity employer. We consider individuals for employment or promotion according to their skills, abilities and experience. We believe that it is an essential part of the Company's overall commitment to attract, hire and develop a strong, talented and diverse workforce. Ross is committed to complying with all applicable laws prohibiting discrimination based on race, color, religious creed, age, national origin, ancestry, physical, mental or developmental disability, sex (which includes pregnancy, childbirth, breastfeeding and medical conditions related to pregnancy, childbirth or breastfeeding), veteran status, military status, marital or registered domestic partnership status, medical condition (including cancer or genetic characteristics), genetic information, gender, gender identity, gender expression, sexual orientation, as well as any other category protected by federal, state or local laws.