Topgolf
DataEngineerII
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer II at Topgolf. Skills: Data pipelines, Data infrastructure, ETL, ELT. Design scalable data pipelines. Build scalable data pipelines”
Industry & Context.
Troubleshooting
What They're Looking For.
Must Have
2+ years of experience in Data Engineering, Proficiency in SQL, Proficiency in Python
Nice to Have
PhD preferred, Specific ML framework experience, Cloud platform certs
What You'll Do.
Design scalable data pipelines
Build scalable data pipelines
Maintain scalable data pipelines
Design data infrastructure
Build data infrastructure
Maintain data infrastructure
Develop ETL/ELT data pipelines
Maintain ETL/ELT data pipelines
Build data warehouses
Optimize data warehouses
Develop data integration workflows
Manage data integration workflows
Ensure data reliability
Ensure data performance
Optimize Redshift schemas
Prepare datasets for machine learning models
Deliver datasets for machine learning models
Implement CI/CD pipelines
Monitor pipeline performance
Troubleshoot production issues
Maintain documentation
Adhere to data governance
Adhere to security best practices
Participate in code reviews
Contribute to improving engineering standards
How You'll Work.
Team & Collaboration
Code reviews
Full Job Description
We are seeking a Data Engineer II to design, build, and maintain scalable data pipelines and data infrastructure that support analytics, reporting, and machine learning initiatives. The ideal candidate has strong experience in SQL, AWS data analytics services, and Python, with hands-on experience building ETL/ELT pipelines using modern cloud-based tools. 2+ years of experience in Data Engineering, data platform development, or related roles, with strong proficiency in SQL and Python for data processing and pipeline development. * Design, develop, and maintain scalable ETL/ELT data pipelines using Python, SQL, and Apache Airflow. * Build and optimize data warehouses and data lakes using AWS Redshift, S3, and related AWS services. * Develop and manage data integration workflows using tools such as Airflow, Python, AWS Glue or Talend (optional). * Ensure data quality, reliability, and performance across pipelines and data platforms. * Optimize SQL queries, Redshift schemas, and data models for performance and scalability. * Prepare and deliver datasets for machine learning models for Forecasting usecases. * Implement CI/CD pipelines for data workflows and infrastructure deployments. * Monitor pipeline performance and troubleshoot production issues. * Maintain proper documentation and adhere to data governance and security best practices. * Participate in code reviews and contribute to improving engineering standards. * Experience with one or more cloud providers: AWS (Glue, S3, Redshift), Azure (Data Lake, Databricks), or GCP. * Experience with workflow orchestration tools such as Apache Airflow. * Familiarity with machine learning data pipelines or feature engineering workflows. * Understanding of data modeling, data warehousing concepts, and performance optimization. BENEFITS Free Play & 1/2 price food! Health, dental, vision, 401(k) team member match, free mental well-being platform – and that’s just for starters for those who qualify. [_View team member benefits he
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