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Adtech Engineer Jobs in California (NOW HIRING)

... used programming languages, OOP, design patterns, data structures Experience integrating ... AdTech Order Management systems such as Placements.io and AdBook

Job Summary : MadMen AI is a seed-stage AdTech startup aiming to make AI-powered advertising accessible to every marketer. As the founding full-stack engineer, you will build AI-forward user ...

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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 California are hiring for Adtech Engineer jobs?

Cities in California with the most Adtech Engineer job openings:

Infographic showing various Adtech Engineer job openings in California as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Senior Data Engineer - AdTech (6-Month Contract)

San Francisco, CA โ€ข On-site

Proximity Works
Software Developmentย โ€ขย 51 - 200 employees

$124K - $169K/yr

Other

Posted 12 days ago


Job description

We are looking for Senior Data Engineers to join our AdTech team and build scalable, high-performance data platforms that power advertising insights and analytics. The ideal candidate will have strong experience in distributed data processing, ETL pipelines, and Big Data technologies, with hands-on expertise in Spark and Scala.

You will work on designing, developing, and optimizing large-scale data pipelines while collaborating closely with cross-functional engineering teams to build reliable, production-grade data solutions.

Key Responsibilities
  • Design, develop, and maintain scalable ETL pipelines for large-scale data processing.
  • Build and optimize distributed data applications using Spark and Scala.
  • Develop reliable, high-performance data pipelines for batch and streaming workloads.
  • Work with large datasets to ensure data quality, consistency, and performance.
  • Collaborate with engineering, product, and analytics teams to deliver robust data solutions.
  • Optimize data workflows for scalability, reliability, and cost efficiency.
  • Deploy and manage data workloads in cloud and containerized environments.
  • Troubleshoot production issues and continuously improve platform performance.
Candidates who demonstrate:
  • 5+ years of experience in Data Engineering or Big Data Engineering.
  • Strong hands-on experience with Apache Spark and Scala.
  • Experience building and maintaining ETL pipelines.
  • Familiarity with Google Cloud Storage (GCS).
  • Experience with Kubernetes (K8s).
  • Strong SQL skills and understanding of distributed data processing.
  • Excellent debugging, problem-solving, and performance optimization skills.
  • Strong communication and collaboration skills.
Good to Have
  • Experience with AWS and cloud-native data services.
  • Familiarity with streaming technologies such as Kafka.
  • Experience working on large-scale data platforms or AdTech systems.
  • Exposure to orchestration tools such as Airflow.
  • Best-in-class salary: We hire strong talent and compensate accordingly.
  • Proximity Talks: Meet and learn from designers, engineers, product leaders, and AI practitioners.
  • Continuous learning: Work with a world-class team and stay close to the latest in AI, engineering, and product development.
  • High-impact work: Build AI-first systems and products used at scale by global clients.
About Us

Proximity is the trusted technology, design, and consulting partner for some of the biggest Sports, Media, and Entertainment companies in the world. Weโ€™re headquartered in San Francisco and have offices in Palo Alto, Dubai, Mumbai, and Bangalore. Since 2019, Proximity has built high-impact, scalable products used by millions of users every day. Today, we are a global team of engineers, designers, product managers, and experts solving complex problems and building cutting-edge technology at scale.

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