About the Role

As a Data Engineer on the Attribution & Insights team at Branch, you’ll play a pivotal role in designing, building, and operating components of our highly available, real-time data platform — a system that ingests billions of events per day and delivers rich, privacy-aware attribution analytics and insights to top global brands.

You’ll work at the intersection of our MMP product stack and core data infrastructure, partnering closely with platform engineers to deliver performant, cost-efficient, and resilient pipelines. Your work will enable real-time “slice and dice” analytics and power everything from campaign reporting to fraud detection, budget optimization, and LTV modeling.

This is a rare opportunity to work with petabyte-scale data, push the boundaries of real-time data engineering, and learn from some of the best in the industry.

What You’ll Do

• Architect, build, and own real-time and batch data pipelines that power attribution decisions and marketing insights.
• Deliver high-quality, reliable datasets for customer dashboards, fraud systems, and internal analytics use cases.
• Optimize ingestion and aggregation performance using tools like Flink, Spark, Kafka, and Druid.
• Partner with the Data Platform team to make infrastructure-level decisions that impact performance, latency, and cost.
• Own schema design, versioning, and deployment of datasets across Iceberg, S3, and other analytical data stores.
• Build and maintain robust monitoring, alerting, and self-healing mechanisms to ensure high system availability.
• Collaborate cross-functionally with Product, Customer Success, and Data Science to identify and deliver new data capabilities.

You’ll Be a Great Fit If You Have:

• 2–4 years + of software engineering experience, ideally in data engineering or large-scale backend systems.
• Proficiency in SQL and at least one backend language (Java, or Python).
• Understanding of distributed systems, data modeling, and real-time data processing.
• Hands-on experience with AWS cloud tools and big data platforms such as Kafka, Flink, Spark, Airflow, dbt, Druid.
• A solid grasp of data warehousing principles and familiarity with columnar storage formats (Parquet, Avro).
• Curiosity and drive to work with event-driven data systems that operate at massive scale.
• Strong communication skills and a desire to collaborate across time zones and teams.

 Nice to Have

• Experience with mobile attribution, ad tech, or analytics pipelines.
• Exposure to containerized deployments and orchestration tools (e.g., Kubernetes, ECS, Terraform).
• Comfort working with monitoring, observability, and data quality frameworks (e.g., Prometheus, Great Expectations).
• Interest in privacy-preserving data systems and frameworks (GDPR, SKAdNetwork, AEM, etc.).

Why Join Branch

• Operate at global scale with real-time, petabyte-class data.
• Be part of a core platform that directly impacts hundreds of marketers and millions of users.
• Learn and grow in a fast-paced, high-ownership environment with deep mentorship.
• Help shape the future of a privacy-first attribution and insights platform.
  
  

If you’re excited by the challenge of building reliable, real-time data systems that drive smarter marketing — we’d love to hear from you!

This role is 100% remote in Denver, CO. This role is only eligible for remote work in specific locations, including Austin, TX. 

In accordance with applicable law, the following represents a reasonable estimated compensation range for this role: the estimated pay range for this role, if based in Denver, CO is $125,000 to $148,000. Actual compensation will be determined based on skills, experience, and geographic location and may be more or less than the amount shown above.