Data Engineer II

Topgolf; Dallas (TX); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Free play

½-price food

Health insurance

401(k) team member match

Mental well-being platform

Job summary

Topgolf is seeking a Data Engineer II in Dallas, Texas, to design and maintain scalable data pipelines for analytics and machine learning initiatives. The ideal candidate should have strong SQL, AWS, and Python expertise, with hands-on ETL pipeline experience.

The role includes responsibilities like developing ETL workflows, optimizing data storage solutions, and ensuring data quality. Benefits include free play, half-price food, and health insurance options.

Qualifications

• 2+ years of experience in Data Engineering or related roles.
• Strong proficiency in SQL and Python for data processing.
• Experience with cloud providers like AWS, Azure, or GCP.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines.
• Build and optimize data warehouses and data lakes.
• Develop and manage data integration workflows.

Skills

SQL

AWS

Python

ETL/ELT

Apache Airflow

Tools

AWS Glue

Talend

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.

Responsibilities

• 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 use cases.
• 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 & ½‑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 here.

Equal Employment Opportunity & EEO Statement

Topgolf is a global sports and entertainment community and is committed to equal opportunity and is firmly committed to preventing discrimination and harassment, including sexual misconduct, based on legally protected diversity characteristics (such as race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, family status, citizenship, genetic information and veteran status) in its application and hiring processes and in its employment decisions. As an affirmative action employer, Topgolf also takes steps to prevent retaliation and to create a respectful, equitable and inclusive environment for its guests, associates, business partners, vendors, and the communities we serve.

Topgolf is an equal opportunity affirmative action employer and administers all personnel practices without regard to race, color, religion, sex, age, national origin, disability, sexual orientation, gender identity or expression, marital status, veteran status, genetics or any other category protected under applicable law.

Topgolf participates in E‑Verify and will provide the federal government with your Form I‑9 information to confirm that you are authorized to work in the U.S.