Senior Data Engineer

About the Company: Media.net is a leading global ad tech company, building innovative products and solutions for advertisers and publishers. Media.net creates the most transparent and efficient path for ad budgets to become publisher revenue, while delivering meaningful value to advertisers, publishers, app developers, and end users across the open web. We are one of the world’s largest independent contextual advertising businesses, with one of the industry’s most comprehensive advertising technology portfolios. Media.net powers major publishers and ad-tech platforms across formats, including display, video, mobile, native, search, and local. Our platform manages high-quality ad supply across 500,000+ websites and is licensed by the biggest publishers, ad networks, and technology partners worldwide. Beyond our core advertising business, Media.net also operates at scale in performance-driven consumer acquisition, app development and distribution, and strategic technology investments. These efforts are supported by one of the world’s largest independent software development engines, enabling us to innovate rapidly and build products used across global markets. Media.net is home to 1,300+ employees, with key operations across North America, Europe, and Asia. Our US headquarters is in New York, and our global headquarters is in Dubai. Across 50+ demand partners, 21K+ publishers, and a growing portfolio of products and services, we take great pride in driving trusted, transparent, and scalable results

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

Required Skills:

• 5–8 years of experience working in data engineering or backend roles with a strong data focus
• Solid command over SQL and RDBMS concepts – query optimization, indexing, schema design
• Hands-on experience with Big Data and NoSQL technologies – Hive, Spark, Presto, HDFS, Kafka, MongoDB, Cassandra, etc.
• Strong programming skills in Python, Java, or Scala
• Experience with large-scale data processing, batch & stream pipelines, and performance tuning
• Exposure to distributed systems or cloud-based data platforms (AWS, GCP, or Azure) is a plus
• Ability to take ownership and drive outcomes while mentoring and growing a small team