Data Engineer II

The Opportunity

As a Data Engineer II , you will help build, maintain, and enhance the data platforms and pipelines that support GolfNow and the broader Sports Next ecosystem. You will work within established data architecture and engineering standards to develop reliable, scalable solutions that support analytics, reporting, and product experiences.

Operating at the intersection of sports and technology, you’ll partner with data engineers, software engineers, product teams, and analytics partners to translate business and technical requirements into effective data solutions. You’ll take ownership of assigned data engineering initiatives, contribute to technical design decisions, and help continuously improve the quality, performance, and reliability of our data ecosystem.
Why This Role Matters:

Reliable, accessible data is essential to understanding our customers, improving our products, and making informed business decisions. Your work will help ensure teams across GolfNow and Sports Next have access to trusted data and scalable solutions that enable analytics, reporting, and continued product innovation.
Work Environment:

This is a fully remote role, with opportunities for intentional in-person collaboration (approximately 10%) to support team connection, planning, and key initiatives.
What You’ll Do:

- 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.

What You Bring:

- 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.

How We Do It at Versant:

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Trust: You take ownership of your work, protect data integrity, and deliver reliable, high-quality solutions.

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Teamwork: You collaborate with engineering, analytics, product, and business partners to solve problems and achieve shared outcomes.

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Transparency: You communicate progress, technical considerations, risks, and data-quality issues clearly and constructively.

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Agility: You adapt to evolving priorities, technologies, and requirements while maintaining a focus on quality and reliability.

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Entrepreneurial Spirit: You look for practical opportunities to improve pipelines, processes, tools, and the ways data supports th