Senior Data Engineer

Yeti Holdings
Austin
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 8+ yearsEducation: bachelorsSkills: ["Problem-solving","Data quality","Reliability","Governance","Positive attitude","Openness to new tools"]

Design, build, and operate the enterprise data platform that powers modern analytics and advanced reporting. Build scalable ELT/ETL pipelines with BigQuery, Databricks, Spark, Airflow/Google Composer, and Dataflow, and lead analytical data model development. Integrate SAP sources, optimize Vertex AI/ML pipeline performance, enforce data quality and governance, and support complex query tuning and schema refinement.

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FursaFursa
Yeti Holdings
Yeti Holdings
2 months ago

Senior Data Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 4 minutes agoStatus: Live

Job Summary

Design, build, and operate the enterprise data platform that powers modern analytics and advanced reporting. Build scalable ELT/ETL pipelines with BigQuery, Databricks, Spark, Airflow/Google Composer, and Dataflow, and lead analytical data model development. Integrate SAP sources, optimize Vertex AI/ML pipeline performance, enforce data quality and governance, and support complex query tuning and schema refinement.
Location: Austin
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Work with business customers and data analysts to define requirements and translate them into logical and physical models.
  • •Design and build scalable ELT/ETL pipelines using BigQuery, Databricks, Spark, Airflow/Google Composer, and Dataflow.
  • •Lead development of analytical data models using Databricks and Google BigQuery.
  • •Integrate SAP data sources (SAP HANA and S/4HANA) and build pipelines for SAP and non-SAP sources into BigQuery.
  • •Enforce data quality, reliability, and governance; perform data profiling and support query tuning and schema refinement.

Key Requirements

  • •Bachelor’s degree in computer science or related discipline.
  • •At least 8 years of data engineering experience, primarily with Google BigQuery and intermediate skills in Databricks.
  • •Expertise writing, analyzing, and tuning complex SQL queries.
  • •Extensive hands-on experience with Python and GCP services including BigQuery, Google Airflow, Dataflow, and Databricks.
  • •Experience with Dimensional Modeling and ER-Modeling.
Experience:8+ years
Education:Bachelor's in computer science or related discipline
Skills:Problem-solvingData qualityReliabilityGovernancePositive attitudeOpenness to new tools
Tech Stack:Azure DatabricksGoogle BigQueryBigQueryELTETLGoogle Stored ProceduresDatabricksSparkAirflowGoogle ComposerGoogle DataflowGoogle Vertex AISAP HANASAP S/4HANASAP DatasphereSAPSalesforcePythonSQLDimensional Modeling

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Yeti Holdings
Designs, manufactures, and sells premium outdoor lifestyle products including durable coolers, drinkware, backpacks, and accessories. Known for high-performance, rugged products targeted at outdoor enthusiasts, anglers, and campers.
Industry: Consumer Goods
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Austin, United States
Founded: 2006
WebsiteLinkedIn