Data Engineer

Who is Eventellect?
Through passion and industry expertise, Eventellect helps professional and collegiate sports and entertainment properties achieve their long-term strategic goals and grow total net ticket revenue. Our industry-leading technology capabilities and strategic solutions allow our partners to gain visibility, improve profitability, and maximize attendance.

We are a fast-growing company that is respected both in Houston (Houston Business Journal’s Best Places to Work 2017, 2018, & 2022) and nationally (INC 5000 list of fastest-growing companies 10 years in a row).

What are we looking for?

We are seeking a highly motivated Data Engineer to join our data team. In this role, you will design, build, and maintain scalable data pipelines and models that power both business reporting and machine learning initiatives. You’ll collaborate closely with business stakeholders and data science teams to transform requirements into robust, production-ready solutions.

Responsibilities

• Design, build, and maintain Azure-based data pipelines orchestrated with Kubernetes.
• Develop and optimize dbt models to ensure scalable, well-documented, and tested transformations.
• Manage and enhance Snowflake data environments.
• Write efficient SQL and Python code for data ingestion, transformation, and analysis.
• Implement data monitoring and quality frameworks to ensure reliable reporting and analytics.
• Partner with business and data science teams to turn requirements into clear, actionable data logic for both reporting and machine learning pipelines.
• Build and support BI dashboards and reports that provide actionable insights.

• 2–3 years of experience in data engineering, analytics engineering, or a related role.
• Strong experience with:
• Azure data services and pipeline orchestration.
• Kubernetes for containerized workflows.
• dbt for transformation and modeling.
• Snowflake, SQL, and Python.
• Proven experience with BI tools (e.g., Power BI, Tableau, or Looker).
• Hands-on experience with data monitoring, testing, and quality frameworks.
• Excellent problem-solving skills and ability to collaborate across technical and non-technical teams.
• Must be authorized to work in the United States on a fulltime basis without the need of sponsorship now or in the future.
• Must live in or be willing to relocate to Houston, Texas, and work in-office.

Preferred Skills

• Experience with Google Analytics and GA4 for digital analytics data integration.
• Familiarity with machine learning workflows and integrating features into ML pipelines.
• Knowledge of modern data observability tools and best practices.

• A fast-growing company that’s respected in Houston (Houston Business Journal’s Best Places to Work multiple years) and nationally (INC 5000 list of fastest-growing companies 10 years in a row)
• A competitive salary and bonus potential
• A comprehensive benefits package, including 90% employee medical coverage, as well as dental and vision coverage, basic term life insurance and short-term disability coverage
• 401K program including company match
• Unlimited Paid Time Off
• A $1,000 annual ticket budget to spend on sports and other live events around the country