Data Engineer IV | Full-Time | OVG Austin Office

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Data Engineer IV | Full-Time | OVG Austin Office

Location

US-TX-Austin

Job Post Information* : Posted Date

17 hours ago (8/17/2026 6:28 PM)

Job ID

2026-33574

Location Name

OVG Austin Office

Category

Sales

Type

Regular Full-Time

Location : Location

US-TX-Austin

Job Post Information* : External Company Name

Oak View Group

Job Post Information* : External Company URL

https://www.oakviewgroup.com/

Location : Postal Code

78701

Location : Address

401 Congress Ave

Job Post Information* : Post End Date

11/20/2026

Oak View Group

Oak View Group (OVG) is the global leader in premium live entertainment infrastructure and services, with a platform spanning venue development and end-to-end capabilities across venue management, hospitality, and sponsorship sales. Founded in 2015, the company serves a collection of seven world-class owned venues and a client roster of the most iconic arenas, stadiums, convention centers, music festivals, performing arts centers, and cultural institutions, spanning four continents.

The Data Engineer IV will help lead the long-term effort to make data workflows proprietary, scalable, and margin-effective. This person builds the pipelines, models, and standards that let us own that work ourselves, rely less on outside vendors and services, and give the business faster, more reliable answers. This role pays an annual salary of $135,000-$170,000 Benefits for Full-Time roles: Health, Dental and Vision Insurance, 401(k) Savings Plan, 401(k) matching, and Paid Time Off (vacation days, sick days, and 11 holidays) This position will remain open until November 20, 2026.

Infrastructure & Pipelines Build and maintain the ETL/ELT pipelines connecting CRM, Outreach, Salesforce Marketing Cloud, ticketing, web analytics, advertising platforms, reporting tools, and the data lake Take on recurring data movement and integration work that's currently being outsourced to agencies Keep infrastructure scalable, reliable, and secure as data volume and system count grow Data Modeling, Governance & Quality Build and maintain the data models and warehouse structures that reporting and analytics run on Own data cleansing, validation, and quality checks so people trust the numbers they're looking at Work with the VP, Revenue Systems & Data to set architecture, governance, and documentation standards Analytics & Data Science Enhance lead score modeling and drive client adoption Build out statistical models and predictive analytics that improve sales and marketing performance Analyze data to adapt or reconstruct business processes Implement the use of AI where there is direct ROI to KPIs Team & Cross-Functional Work Manage the Marketing and Sales Analysts, making sure their reporting is built on clean data Partner with CRM & Systems, Revenue Marketing, and Sales Performance so infrastructure decisions match what those teams need, and speed up turnaround on ad hoc requests

Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field. 6+ years of experience in data engineering, enterprise data architecture, or analytics engineering. Strong hands-on experience with SQL, data modeling, ETL/ELT development, APIs, and cloud-based data platforms. Demonstrated experience building scalable data infrastructure supporting CRM, marketing automation, business intelligence, and reporting environments. Strong understanding of data governance, data quality, security, metadata management, and master data management best practices. Experience developing predictive analytics, statistical models, machine learning, or AI-driven solutions to improve business performance. Proven ability to integrate data across multiple