Senior Data Engineer

At YETI, we believe that time spent outdoors matters more than ever and our gear can make that time extraordinary. When you work here, you’ll have the opportunity to create exceptional, meaningful work and problem solve with innovative team members by your side. Together, you’ll help our customers get the high-quality gear they need to make the most of their adventures. We are BUILT FOR THE WILD™.

About the Role

The Senior Data Engineer will be part of a team that designs, builds, and operates YETI’s enterprise data platform with a strong emphasis on Google Cloud Platform, BigQuery and Airflow experience preferred. This role is critical to enabling modern analytics, advanced reporting, and data-driven decision-making across the enterprise. This position offers an extremely rare and unique opportunity to join a highly profitable, fast-growing business.

This role requires a blend of skills typically found in the specialized roles of Data Modeler, Data Architecture, Data Analyst, and Administration of Data tools. Additionally, having experience in agile development, and how to balance the need to maintain operations versus the need to build things the right way is an absolute must.

What You'll Do

• Work with business customers and data analysts to define detailed requirements from broader business challenges

• Translate those requirements to logical and physical models that satisfy analytical needs

• Design and build scalable ELT/ETL pipelines using Airflow, Stored Procedures in BigQuery, Dataflow, and Databricks

• Lead development of analytical data models

• Integrate SAP data sources including SAP HANA and S/4HANA

• Optimize data performance of Google Vertex AI engineering and ML pipelines

• Partner with business and analytics teams to translate requirements into technical solutions

• Enforce data quality, reliability, and governance best practices

• Perform data profiling and analysis to assess data quality patterns, recommend data cleansing rules, conforming data standard rules and matching algorithms

• Build Data pipelines for SAP and non-SAP data sources to load into BigQuery

• Own the data infrastructure of our existing Google BigQuery Data warehouse and other related GCP services

• Assist ETL and BI developers with complex query tuning and schema refinement

What You Bring

• Bachelor’s degree in computer science or related discipline

• At least 8 years of experience in data engineering primarily in Google BigQuery.

• Expert in writing, analyzing and tuning complex SQL queries

• Extensive experience with Python programming

• Hands-on experience in GCP BigQuery, Airflow and Dataflow

• Must have a good understanding of Dimensional Modeling and ER-Modeling

• Candidates should demonstrate openness to adopting unfamiliar tools and acquiring proficiency in new programming languages.

• Strong problem-solving ability and a positive attitude

• Experience in extracting data from SAP HANA and Salesforce tools

• Experience/Knowledge of SAP Datasphere is a huge plus.

• Experience with Java and NodeJS

• Terraform, Docker, and CI/CD experience preferred

Candidates must be authorized to work in the United States. The company is not able to sponsor new H-1B petitions for this role. However, the company may consider sponsorship for candidates who currently hold H-1B status and are eligible for an H-1B change-of-employer petition, subject to business need, legal eligibility, and company approval.

Benefits & Perks:

Click here to learn about the benefits and perks we offer at YETI.

YETI is proud to be an Equal Opportunity Employer.

Our commitment to creating a diverse, equitable, and inclusive culture is at the center of everything we do for our employees. We embrace all applicants looking to bring their authentic selves to YETI and contribute to our mission of keeping the wild WILD. Find out more about our commitment to DE&I at yeti.com/esg.html.

All applicants for employment will be considered without regard to an individual’s race, color, sex, gender identity, gender expression, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws.

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