Senior Data Engineer (NR-2026-0264)

About Media.Net

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.

Role Overview

As a Senior Data Application Developer, you'll own end-to-end delivery of data modules and platforms that power core business use cases across real-time bidding, reporting, and analytics. You will work closely with data science, analytics, and platformengineering teams. You’ll need a strong foundation in SQL and databases, coupledwith working experience on big data systems. This is a hands-onrole for someone who enjoys solving high-scale data challenges and driving execution.

What You’ll Be Doing

• Development and enhancement of data-heavy modulesacross ad serving,analytics, and reporting systems
• Design, optimize, and maintain scalabledata pipelines using a mix of SQL , NoSQL and Big Data tools
• Work with streaming platformslike Apache Kafkaand Flink for real-time data processing
• Ensure data reliability, low-latency access, and robustness acrossinternal and external-facing systems
• Ensure best practicesaround data governance, schema evolution, and performance tuning

What You Bring

• 4–6 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 both Google Cloud Platform (GCP) and Amazon Web Services (AWS) is required.
• Hands-on experience with Big Data and NoSQL technologies – Iceberg, Spark, HDFS, Kafka, Airflow etc.
• Working knowledge on HBase and Redis.
• Strong programming skills in Python, Java, or Scala
• Experience with large-scale data processing, batch & stream pipelines, and performance tuning
• Ability to take ownership and drive outcomes while mentoring and growing a small team

Why Join Us

• Work on internet-scale data systems – billions of rows processeddaily
• Solve high-impact problems at the intersection of advertising, machinelearning, and data platforms
• Be part of a high-caliber team with ownershipand autonomy from day one
• A tech-first culturethat encourages learning, experimentation, and innovation