Sr. Data Engineer

YETI; Austin (TX); On-site; USD 120,000 - 150,000; Full time

Job summary

YETI is looking for a Senior Data Engineer to build and operate their enterprise data platform. This role focuses on Google BigQuery and requires significant experience in data engineering, SQL, and Python programming.

The ideal candidate will have 8+ years of experience, strong problem-solving abilities, and familiarity with tools like Databricks and Google Dataflow. Join YETI to help maintain data quality and support data-driven decisions for our adventures!

Qualifications

• At least 8 years of experience in data engineering primarily in Google BigQuery.
• Extensive experience with Python programming.
• Hands-on experience in GCP BigQuery, Google Airflow, Dataflow and Databricks.

Responsibilities

• Design and build scalable ELT/ETL pipelines using Google Stored Procedures.
• Lead development of analytical data models using Databricks and Google BigQuery.
• Optimize data performance of Google Vertex AI engineering and ML pipelines.

Skills

Experience in data engineering

Writing complex SQL queries

Python programming

Dimensional Modeling

Google BigQuery

Databricks

SAP HANA

Google Dataflow

Education

Bachelor’s degree in computer science or related discipline

Tools

Google Airflow

Terraform

Docker

CI/CD

Job description

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™.

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 Azure Databricks and Google BigQuery. 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.

Responsibilities

• 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 Google Stored Procedures in BigQuery, Databricks, Spark, Airflow/Google Composer and Google Dataflow
• Lead development of analytical data models using Databricks and Google BigQuery
• 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

Qualifications And Attributes

• Bachelor’s degree in computer science or related discipline
• At least 8 years of experience in data engineering primarily in Google BigQuery and intermediate skills in Databricks
• Expert in writing, analyzing and tuning complex SQL queries
• Extensive experience with Python programming
• Hands‑on experience in GCP BigQuery, Google Airflow, Dataflow and Databricks
• 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

Benefits & Perks

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

Equal Opportunity Employer

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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YETI welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. If you require accommodation in order to apply for a job, please contact us at [e-mail].