Topgolf

DataEngineerII

$95–135k ~AI est. United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Data Engineer II at Topgolf. Skills: Data pipelines, Data infrastructure, ETL, ELT. Design scalable data pipelines. Build scalable data pipelines”

Industry & Context.

Problems you'll solve

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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