Job description

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: • Trust: You take ownership of your work, protect data integrity, and deliver reliable, high-quality solutions. • Teamwork: You collaborate with engineering, analytics, product, and business partners to solve problems and achieve shared outcomes. • Transparency: You communicate progress, technical considerations, risks, and data-quality issues clearly and constructively. • Agility: You adapt to evolving priorities, technologies, and requirements while maintaining a focus on quality and reliability. • Entrepreneurial Spirit: You look for practical opportunities to improve pipelines, processes, tools, and the ways data supports the business. Bonus Points • 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. Why You’ll Love It Here: • Build data solutions supporting high-impact products at the intersection of sports, media, and technology. • Develop your technical expertise while working with modern cloud and data technologies. • Collaborate with experienced engineering, analytics, product, and business teams across the Versant porfolio • Contribute to data products and platforms that support meaningful business and product decisions. • Competitive compensation, comprehensive benefits, and opportunities for continued professional growth. • Fully remote flexibility with opportunities for intentional in-person collaboration (~10%). As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. For LA County and City Residents Only: VERSANT Media will consider for employment qualified applicants with criminal histories, or arrest or conviction records, in a manner consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to candidateaccessibility@versantmedia.com . VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.

Requirements

Must-haves

This is a fully remote role, with opportunities for intentional in-person collaboration (approximately 10%) to support team connection, planning, and key initiatives.
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.
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.
Trust: You take ownership of your work, protect data integrity, and deliver reliable, high-quality solutions.
Teamwork: You collaborate with engineering, analytics, product, and business partners to solve problems and achieve shared outcomes.
Transparency: You communicate progress, technical considerations, risks, and data-quality issues clearly and constructively.
Agility: You adapt to evolving priorities, technologies, and requirements while maintaining a focus on quality and reliability.
Entrepreneurial Spirit: You look for practical opportunities to improve pipelines, processes, tools, and the ways data supports the business.
Build data solutions supporting high-impact products at the intersection of sports, media, and technology.

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.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

awssqlpythonagilejira

Platform: smartrecruiters
Effort: medium

Benefits

Benefits detected in the listing.

Health Insurance

Paid Time Off