About the Company

Media.net is a leading global AdTech company focused on creating the most transparent and efficient path for advertiser budgets to become publisher revenue. Our proprietary contextual technology is at the forefront of enhancing programmatic buying — the industry standard in digital advertising across platforms. The Media.net platform powers major global publishers and AdTech businesses at scale across ad formats including display, video, mobile, native, and search advertising.

U.S. Headquarters: New York City

Global Headquarters: Dubai

With offices and consulting partners across the globe, Media.net supports 50+ demand partners and 21K+ publisher partners through cutting-edge advertising products and services.

Media.net at Scale (Annual Impact)

• 125B+ ads served
• 17M+ URLs monetized
• 1B+ ad clicks managed
• 6T+ ad impressions delivered

About the Role

As a Senior Data Application Engineer, you will own the end-to-end delivery of data modules and platforms powering critical business use cases across real-time bidding, reporting, analytics, and large-scale advertising systems. This role requires a strong foundation in databases and SQL, combined with hands-on experience in Big Data ecosystems and distributed data processing systems. You will lead a small team of engineers while remaining deeply involved in architecture, optimization, and execution. This is an ideal opportunity for someone who enjoys solving high-scale data engineering challenges, building reliable systems, and mentoring high-performing engineering teams.

Responsibilities

• Lead the development and enhancement of data-intensive modules across ad serving, analytics, and reporting platforms
• Design, optimize, and maintain scalable batch and real-time data pipelines using SQL, NoSQL, and Big Data technologies
• Work with streaming technologies such as Apache Kafka and Apache Flink for real-time event processing
• Ensure high availability, low latency, data reliability, and robustness across internal and customer-facing systems
• Collaborate with product managers, analysts, data scientists, and platform engineering teams to convert business requirements into scalable technical solutions
• Drive architectural discussions, code reviews, engineering best practices, and system optimization initiatives
• Mentor junior engineers and contribute to team growth and technical excellence
• Ensure best practices around data governance, schema evolution, observability, and performance tuning

Qualifications

• 5–8 years of experience in Data Engineering, Backend Engineering, or distributed data platform development

Required Skills

• Strong expertise in SQL and relational databases, including:
• Query optimization
• Indexing strategies
• Schema design
• Data modeling
• Hands-on experience with Big Data and NoSQL technologies such as:
• Hive
• Spark
• Presto
• HDFS
• Kafka
• MongoDB
• Cassandra
• Strong programming skills in Python, Java, or Scala
• Experience building and optimizing large-scale batch and stream processing systems
• Understanding of distributed systems and high-throughput data architectures
• Exposure to cloud platforms such as AWS, GCP, or Azure is a plus
• Strong ownership mindset with the ability to independently drive projects and mentor teams