Data Engineer IV | Full-Time | OVG Austin Office

Oak View Group•Austin, TX

1d•Onsite

About The Position

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.

Requirements

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 platforms such as CRM systems, marketing automation platforms, web analytics, advertising platforms, and third-party applications.
Experience leading or mentoring analysts, engineers, or technical teams while effectively managing cross-functional projects and stakeholder relationships.
Excellent analytical, problem-solving, communication, and documentation skills with the ability to translate business requirements into scalable technical solutions.

Responsibilities

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
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
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
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