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# Sr. Data Engineer

- **Company:** YETI Coolers, LLC
- **Location:** Austin, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Agile Methodology, Artificial Intelligence, Airflow, Data Analysis, Business Intelligence Development, BigQuery, Continuous Integration, Data Architecture, Data Cleansing, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Profiling, Data Retrieval, Data Warehousing, Dimensional Modeling, Data Flow Control, Python (Programming Language), Node.Js, Query Optimization, Salesforce.Com, SAP (Applications), SAP HANA, SQL Stored Procedures, Freeform SQL, Apache Spark, Build Management, Information Technology, Google Bigquery, SAP S/4HANA, Machine Learning Operations, Terraform, Data Pipelines, Docker, Databricks, Programming Languages
- **Published:** July 15, 2026
- **Apply:** https://www.disabledperson.com/jobs/73670051-sr-data-engineer

## About the Role

* 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
 * Applicants must be currently authorized to work in the United States on a full-time basis without the need for employer sponsorship.

## Description

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., * 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


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