Software Engineer, Big Data

Are you ready to revolutionize the advertising industry?

At Cognitiv, we are industry trailblazers redefining media buying with our Deep Learning Advertising Platform. Since 2015, we have harnessed the power of cutting‑edge deep learning technology and data science to transform how brands connect with their customers. Our mission? To bring intelligence to advertising and deliver unparalleled precision, relevance, and impact at scale.

With our innovative platform, advertisers enjoy unprecedented flexibility—whether it is activating Dynamic Deals through their preferred DSP, leveraging our managed service DSP, or utilizing our industry‑first Context

GPT product. As a part of Cognitiv, you will be at the forefront of AI‑driven advertising solutions, driving change and achieving remarkable growth in a rapidly evolving industry.

Title:

Senior Data Engineer. This role is accountable for building and scaling high‑performance data systems by developing robust data pipelines and infrastructure, working closely with Data Science, Machine Learning, and Engineering teams to deliver reliable, large‑scale data solutions that power analytics and AI‑driven initiatives.

This position will be located in Bellevue with a hybrid work schedule of 3 days in office (Mon/Tue/Wed) and 2 days remote optional (Thursday/Friday).

• Build and scale core data infrastructure. Design, build, and scale large‑scale data ingestion, processing, and warehousing pipelines that support analytics, ML, and activation use cases.
• Optimize data processing at scale. Write and optimize complex SQL and Spark queries to efficiently handle high‑volume, distributed datasets.
• Evolve the data platform. Contribute to the development and ongoing evolution of our data platform, including systems such as the identity graph and ML feature pipelines.
• Ensure system reliability and performance. Monitor, troubleshoot, and improve highly available data systems to ensure reliability across critical workflows.
• Partner across technical teams. Collaborate cross‑functionally with Data Science, Machine Learning, and Product teams to enable and support data‑driven initiatives.
• Improve scalability and efficiency. Enhance system performance, reliability, and scalability across billions of events and diverse data sources.
• Work with modern data technologies. Use and extend tools such as Spark, Kafka, Iceberg, and cloud‑based infrastructure to build robust data solutions.

• Experienced engineer. 4+ years of experience working with a managed language such as Java or .NET, building production‑grade systems.
• Hands‑on big data practitioner. At least 1+ year of experience working directly with Spark or similar technologies in production environments.
• Cloud‑native engineer. Experience building and operating systems in cloud environments such as AWS, Azure, or GCP.
• Strong SQL and data optimization skills. Write and optimize SQL queries to support efficient processing of large‑scale datasets.
• Distributed systems thinker. Solid understanding of distributed systems and how to design for scale, reliability, and performance.
• Comfortable with large‑scale data debugging. Confidently work with large datasets and troubleshoot complex data issues across pipelines and systems.
• Collaborative engineering partner. Strong communication style and work effectively across engineering, science, and product teams.
• Growth‑oriented and highly coachable. Demonstrate strong learning agility, seek feedback, and continuously improve technical skills and impact over time.

• Experience scaling large datasets using SQL and Spark
• Background working with high‑volume, real‑time data systems
• Experience operating and maintaining highly‑available systems
• Proficiency in Python
• Familiarity with tools such as Kafka, Click House, or AWS EMR/S3

• 30 days:
  • Ramp quickly on our data platform, tools, and architecture
  • Build strong context on existing pipelines, systems, and key challenges
  • Establish relationships with team members and cross‑functional partners
  • Begin contributing to small improvements or bug fixes
• 60 days:
  • Independently own…