Data Engineer II

Summary

VERSANT is a media and entertainment business operating across political news, business news, golf, sports, and genre entertainment markets. The Data Engineer II will build, maintain, and enhance scalable data platforms, pipelines, integrations, models, and warehouse structures supporting GolfNow and the broader Sports Next ecosystem. The role partners with engineering, product, and analytics teams to deliver reliable data solutions for analytics, reporting, business intelligence, and product experiences.

Responsibilities

• Design, build, test, and maintain scalable data pipelines and integrations across AWS and Microsoft technologies, following established architecture and engineering standards
• Develop and enhance data models and warehouse structures that support analytics, reporting, product insights, and business intelligence use cases
• Monitor and troubleshoot data workflows, identifying root causes and implementing solutions that improve data quality, reliability, and performance
• Partner with engineering, product, and analytics teams to understand requirements and translate business needs into well-designed technical solutions
• Contribute to data quality, governance, testing, documentation, and operational standards across the data lifecycle
• Participate in technical design discussions and evaluate tools, frameworks, and engineering practices that can improve the efficiency, maintainability, and scalability of data solutions

Skills

• Experience in data engineering or a related technical discipline, with hands-on experience developing and supporting data pipelines in cloud-based environments
• Strong SQL and Python skills, including experience developing ETL/ELT workflows and working with structured and semi-structured data
• Working knowledge of data modeling, data warehousing, pipeline orchestration, and modern data engineering practices
• Experience with AWS technologies such as Glue, Lambda, and Step Functions, or comparable cloud data services
• Familiarity with orchestration tools such as Airflow and infrastructure-as-code tools such as Terraform
• Ability to troubleshoot data and pipeline issues, investigate root causes, and implement reliable solutions
• Strong collaboration and communication skills, with the ability to work effectively with engineering, analytics, product, and business partners
• Ability to independently manage assigned work while seeking input and collaborating on more complex technical decisions
• Experience with SSIS, PowerShell, or SSRS
• Familiarity with business intelligence and visualization tools such as Tableau or Power BI
• Experience working in Agile development environments and with collaboration tools such as Jira or Confluence

Qualifications

Must Haves

• Experience in data engineering or a related technical discipline, with hands-on experience developing and supporting data pipelines in cloud-based environments
• Strong SQL and Python skills, including experience developing ETL/ELT workflows and working with structured and semi-structured data
• Working knowledge of data modeling, data warehousing, pipeline orchestration, and modern data engineering practices
• Experience with AWS technologies such as Glue, Lambda, and Step Functions, or comparable cloud data services
• Familiarity with orchestration tools such as Airflow and infrastructure-as-code tools such as Terraform
• Ability to troubleshoot data and pipeline issues, investigate root causes, and implement reliable solutions
• Strong collaboration and communication skills, with the ability to work effectively with engineering, analytics, product, and business partners
• Ability to independently manage assigned work while seeking input and collaborating on more complex technical decisions

Nice to Haves

• Experience with SSIS, PowerShell, or SSRS
• Familiarity with business intelligence and visualization tools such as Tableau or Power BI
• Experience working in Agile development environments and with collaboration tools such as Jira or Confluence

Benefits

• Opportunities for continued professional growth
• Fully remote flexibility with opportunities for intentional in-person collaboration (~10%)
• Health insurance
• Retirement plans
• Paid time off