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Adtech Engineer Jobs in Ohio (NOW HIRING)

$100 - $150/hr

Experience in AdTech, marketplaces, or auction-based systems is a plus * Experience working in high ... Develop scalable feature engineering and data pipelines for large-scale datasets * Define ...

$159.67 - $239.51/hr

Collaborate closely with Marketing, Product, Customer Success, Solutions Engineering, and Legal ... What We're Looking For * 8-12 years of enterprise SaaS, AI, cloud, MarTech, AdTech, or related ...

$137.02 - $182.69/hr

Collaborate closely with Marketing, Product, Customer Success, Solutions Engineering, and Legal ... What We're Looking For * 8-12 years of enterprise SaaS, AI, cloud, MarTech, AdTech, or related ...

Familiarity of the Adtech ecosystem including ad network, ad exchange, SEM platform, DSP, SSP, and ... Beyond our connectivity solutions, we also provide local news, programming and regional sports via ...

Familiarity of the Adtech ecosystem including ad network, ad exchange, SEM platform, DSP, SSP, and ... Beyond our connectivity solutions, we also provide local news, programming and regional sports via ...

Familiarity of the Adtech ecosystem including ad network, ad exchange, SEM platform, DSP, SSP, and ... Beyond our connectivity solutions, we also provide local news, programming and regional sports via ...

Familiarity of the Adtech ecosystem including ad network, ad exchange, SEM platform, DSP, SSP, and ... Beyond our connectivity solutions, we also provide local news, programming and regional sports via ...

Familiarity of the Adtech ecosystem including ad network, ad exchange, SEM platform, DSP, SSP, and ... Beyond our connectivity solutions, we also provide local news, programming and regional sports via ...

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Showing results 1-20

Adtech Engineer information

What is an adtech engineer?

Adtech Engineers are technology professionals who design, develop, and maintain software systems used in the digital advertising industry. They work on platforms that enable the buying, selling, targeting, and analysis of online ads, such as ad servers, real-time bidding systems, and data management platforms. Their role often involves integrating advertising technologies, optimizing ad delivery, and ensuring compliance with privacy regulations. Adtech Engineers collaborate with product managers, data scientists, and marketers to deliver effective advertising solutions.

What are some common challenges an adtech engineer faces when integrating new advertising technologies with existing platforms?

Adtech Engineers often encounter challenges when integrating new advertising technologies, such as ensuring compatibility with legacy systems, maintaining data privacy compliance, and minimizing disruption to current ad delivery pipelines. Balancing rapid implementation with thorough testing can be complex, especially given the fast-paced evolution of ad tech standards and third-party tools. Successful engineers proactively collaborate with product managers, data teams, and external vendors to troubleshoot issues and develop scalable solutions that support the organization's advertising objectives.

What are the key skills and qualifications needed to thrive as an adtech engineer, and why are they important?

To thrive as an Adtech Engineer, you need a solid background in computer science, programming (especially JavaScript, Python, or Java), and a clear understanding of digital advertising technologies and protocols. Familiarity with ad servers, programmatic platforms (like Google Ad Manager or The Trade Desk), SDKs, APIs, and industry certifications such as IAB Digital Ad Operations are highly valued. Strong problem-solving, communication, and collaboration skills help you navigate complex integrations and work effectively with product, sales, and analytics teams. These skills are essential to optimize ad delivery, ensure technical compliance, and drive successful advertising outcomes in a rapidly evolving ecosystem.

What is the difference between Adtech Engineer vs Data Engineer?

AspectAdtech EngineerData Engineer
CredentialsBachelor's in Computer Science, relevant certifications in ad tech or digital marketingBachelor's in Computer Science, certifications in data management or cloud platforms
Work EnvironmentDigital advertising agencies, ad tech companies, marketing teamsData-driven companies, tech firms, analytics teams
Industry UsageUsed in digital advertising, programmatic ad platforms, marketing techUsed in data infrastructure, big data processing, analytics pipelines

Adtech Engineers focus on developing and maintaining advertising technology platforms, while Data Engineers build and manage data pipelines and infrastructure. Both roles require technical skills but serve different functions within digital marketing and data management environments.

What cities in Ohio are hiring for Adtech Engineer jobs?

Cities in Ohio with the most Adtech Engineer job openings:

Senior Machine Learning Engineer Germany

Globaldev Group

On-site

$100 - $150/hr

Other

Posted 5 days ago


Job description

We are looking for a Senior Machine Learning Engineer to design, own, and scale predictive systems that power VIS.X, a programmatic advertising platform.

You will take end-to-end responsibility for high-impact ML initiatives (e.g., pricing optimization, bid prediction, performance forecasting, delivery optimization) and translate complex business problems into robust, production-grade machine learning systems.

This is a senior individual contributor role with leadership potential. You will help shape our ML architecture, standards, and long-term AI strategy, with the opportunity to grow into a team lead role as we expand our data science capabilities.

Requirements:
  • 5+ years of experience in machine learning / applied ML roles with production ownership
  • Proven track record of deploying and maintaining ML systems in real-world environments
  • Strong Python skills (e.g., pandas, scikit-learn, PyTorch/TensorFlow)
  • Solid knowledge of statistics, experimentation design, and model evaluation
  • Experience working with large-scale datasets and performance-critical systems
  • Understanding of MLOps principles (model lifecycle, monitoring, CI/CD integration, retraining pipelines)
  • Strong problem ownership mindset - ability to independently structure ambiguous challenges
  • Ability to translate business trade-offs into modeling decisions
  • Experience in AdTech, marketplaces, or auction-based systems is a plus
  • Experience working in high-scale, real-time systems is a plus
Responsibilities:
  • Take ownership of machine learning problems from concept to production
  • Design, build, and deploy predictive models (e.g. pricing, bidding, optimization, forecasting)
  • Develop scalable feature engineering and data pipelines for large-scale datasets
  • Define experimentation frameworks (A/B testing, offline validation, model comparison)
  • Ensure production-grade MLOps: monitoring, retraining, drift detection, reliability
  • Collaborate closely with DevOps, Product, Engineering teams to align ML with business impact
  • Quantify model impact on revenue, margin, and performance KPIs
  • Contribute to building our long-term ML architecture and best practices
What we offer:
  • Comfortable environment, challenging tasks and a long-term interesting project
  • Covered 20 days of vacation
  • Working with top notch equipment
  • Bookkeeping by a professional accountant
  • Help and support from our caring HR team
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