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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. Position Summary 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. Responsibilities 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 Qualifications 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. Strengthened by our Differences. United to Make a Difference At OVG, we understand that to continue positively disrupting the sports and live entertainment industry, we need a diverse team to help us do it. We also believe that inclusivity drives innovation, strengthens our people , improves our service , and raises our excellence . Our success is rooted in creating environments that reflect and celebrate the diverse communities in which we operate and serve, and this is the reason we are committed to amplifying voices from all different backgrounds. Equal Opportunity Employer Oak View Group is committed to equal employment opportunity. We will not discriminate against employees or applicants for employment on any legally recognized basis (“protected class”) including, but not limited to veteran status, uniform service member status, race, color, religion, sex, national origin, age, physical or mental disability, genetic information or any other protected class under federal, state, or local law.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.