Sr. Data Engineer

YETI Coolers, LLC; United States; On-site; USD 100,000 - 130,000; Full time

Job summary

YETI Coolers, LLC is seeking a Senior Data Engineer to design, build, and operate our enterprise data platform using Azure Databricks and Google BigQuery. You will collaborate closely with business clients to define requirements, develop scalable data pipelines, and ensure data quality.

The ideal candidate has at least 8 years of experience, strong expertise in data engineering, specifically with Google BigQuery and Databricks, and proficiency in SQL and Python programming.

Qualifications

• At least 8 years of experience in data engineering.
• Expertise in writing, analyzing, and tuning complex SQL queries.
• Strong understanding of dimensional modeling and ER modeling.

Responsibilities

• Design and build scalable ELT/ETL pipelines using Google tools.
• Lead development of analytical data models.
• Optimize data performance for ML pipelines.

Skills

Data engineering

Google BigQuery

Databricks

Python programming

SQL query tuning

Education

Bachelor’s degree in computer science

Tools

GCP BigQuery

Google Airflow

Dataflow

Terraform

Docker

Job description

Overview

At YETI, our mission is to inspire people to spend time outdoors by providing durable and high-quality gear. As a Senior Data Engineer, you will help design, build, and operate our enterprise data platform, focusing on Azure Databricks and Google BigQuery to enable modern analytics, advanced reporting, and data‑driven decision making across the business.

Responsibilities

• Work with business customers and data analysts to define detailed requirements from broader business challenges.
• Translate those requirements into 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 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 a related discipline.
• At least 8 years of experience in data engineering, primarily with Google BigQuery, and intermediate skills in Databricks.
• Expertise in writing, analyzing, and tuning complex SQL queries.
• Extensive experience with Python programming.
• Hands‑on experience with GCP BigQuery, Google Airflow, Dataflow, and Databricks.
• Strong understanding of dimensional modeling and ER modeling.
• Experience extracting data from SAP HANA and Salesforce tools.
• Knowledge of SAP Datasphere is a huge plus.
• Experience with Java and NodeJS, Terraform, Docker, and CI/CD is preferred.
• Openness to adopting unfamiliar tools and acquiring proficiency in new programming languages.
• Strong problem‑solving ability and a positive attitude.
• Experience in agile development and balancing operational maintenance with proper development practices.

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. 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. 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.