Senior Data Engineer

<div class="content-intro"><p>At Branch, we power every touchpoint with links that work and insights that prove it. From click to conversion, we make growth measurable. Our unparalleled attribution, backed by AI-enhanced linking, is trusted to deliver seamless experiences that increase ROI, decrease wasted spend, and eliminate siloed attribution.</p> <p>We bring the same rigor to how we build our team, by empowering our people to move fast, own outcomes, and build something that matters. We take pride in making meaningful investments in our team’s health, wealth, and growth so individuals can thrive as we scale. Our culture values smart, humble, and collaborative teammates who take accountability and drive results in an environment where their work truly moves the business forward.</p> <p>We are innovative, scaling with purpose, and led by seasoned leaders who know how to build enduring companies. Trusted by brands like Instacart, Western Union, NBCUniversal, ZocDoc, and Sephora, we’re big enough to matter, small enough for you to make a real impact. If you’re excited by the grit of building, rapid learning, and shaping the future of customer growth, you’ll find your place here.</p></div><h3><strong>About the Role</strong></h3> <p>As a Data Engineer on the Attribution &amp; 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.</p> <p>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.</p> <p>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.</p> <h3><strong>What You’ll Do</strong></h3> <ul> <li>Architect, build, and own real-time and batch data pipelines that power attribution decisions and marketing insights.</li> <li>Deliver high-quality, reliable datasets for customer dashboards, fraud systems, and internal analytics use cases.</li> <li>Optimize ingestion and aggregation performance using tools like Flink, Spark, Kafka, and Druid.</li> <li>Partner with the Data Platform team to make infrastructure-level decisions that impact performance, latency, and cost.</li> <li>Own schema design, versioning, and deployment of datasets across Iceberg, S3, and other analytical data stores.</li> <li>Build and maintain robust monitoring, alerting, and self-healing mechanisms to ensure high system availability.</li> <li>Collaborate cross-functionally with Product, Customer Success, and Data Science to identify and deliver new data capabilities.</li> </ul> <h3><strong>You’ll Be a Great Fit If You Have:</strong></h3> <ul> <li>5+ years of software engineering experience, ideally in data engineering or large-scale backend systems.</li> <li>Proficiency in SQL and at least one backend language (Java, or Python).</li> <li>Understanding of distributed systems, data modeling, and real-time data processing.</li> <li>Hands-on experience with AWS cloud tools and big data platforms such as Kafka, Flink, Spark, Airflow, dbt, Druid.</li> <li>A solid grasp of data warehousing principles and familiarity with columnar storage formats (Parquet, Avro).</li> <li>Curiosity and drive to work with event-driven data systems that operate at massive scale.</li> <li>Strong communication skills and a desire to collaborate across time zones and teams.</li> </ul> <p><strong>&nbsp;Nice to Have</strong></p> <ul> <li>Experience with mobile attribution, ad tech, or analytics pipelines.</li> <li>Exposure to containerized deployments and orchestration tools (e.g., Kubernetes, ECS, Terraform).</li> <li>Comfort working with monitoring, observability, and data quality frameworks (e.g., Prometheus, Great Expectations).</li> <li>Interest in privacy-preserving data systems and frameworks (GDPR, SKAdNetwork, AEM, etc.).</li> </ul> <h3><strong>Why Join Branch</strong></h3> <ul> <li>Operate at global scale with real-time, petabyte-class data.</li> <li>Be part of a core platform that directly impacts hundreds of marketers and millions of users.</li> <li>Learn and grow in a fast-paced, high-ownership environment with deep mentorship.</li> <li>Help shape the future of a privacy-first attribution and insights platform.<br><br></li> </ul> <p class="p1">This role is 100% remote in Canada. This role is not eligible for remote work in any other location.</p> <p class="p1">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 Canada is 127,000 CAD to 165,000 CAD. Please note that this information is provided for those hired in Canada only. Compensation for candidates outside of Canada will be based on the candidate’s specific work location. Actual compensation will be determined based on skills, experience, and geographic location and may be more or less than the amount shown above.</p><div class="content-conclusion"><p class="p1"><span class="s1">The salary range provided represents base compensation and does not include potential equity, which is available for qualifying positions. At Branch, we are committed to the well-being of our team by offering a comprehensive benefits package. From health and wellness programs to paid time off and retirement planning options, we provide a range of benefits for qualified employees. For detailed information on the benefits specific to your position, please consult with your recruiter.</span></p> <p class="p1"><span class="s1">Branch is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.</span></p> <p class="p1"><span class="s1">If you think you'd be a good fit for this role, we'd love for you to apply! At Branch, we strive to create an inclusive culture that encourages people from all walks of life to bring their unique, diverse perspectives to work. We aim every day to build an environment that empowers us all to do the best work of our careers, and we can't wait to show you what we have to offer!</span></p> <h3><strong>A little bit about us:</strong>&nbsp;</h3> <p><a href="https://www.branch.io/" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://www.branch.io&amp;source=gmail&amp;ust=1721426310898000&amp;usg=AOvVaw0UiPHyno4HwhbAVBQ06f6R">Branch</a> is the leading provider of engagement and performance mobile SaaS solutions for growth-focused teams, trusted to maximize the value of their evolving digital strategies. The Branch platform provides a seamless experience across paid and organic, on all channels and platforms, online and offline, to eliminate friction and drive valuable action at the moments of highest intent. With Branch, businesses gain accurate mobile measurement and insights into user interactions, enabling them to drive conversions, engagement, and more intelligent marketing spend.</p> <p>Branch is an award-winning employer headquartered in Mountain View, CA. World-class brands like Instacart, Western Union, NBCUniversal, Zocdoc and Sephora acquire users, retain customers and drive more conversions with Branch.</p> <p><span style="font-weight: 400; color: #000000;">Candidate Privacy Information:<br>For more information on the data that Branch will collect through&nbsp;your application, and how we use, share, delete, and retain that information as part of our recruitment and employment&nbsp;efforts, please see our&nbsp;<a href="https://legal.branch.io/#recruiting-privacy-policy" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://branch.io/attachment/Branch-Global-Employee-Privacy-Policy-4.15.19.pdf&amp;source=gmail&amp;ust=1597879168840000&amp;usg=AFQjCNHZSbTrWuejtRYx7HH8iK3tRGSIcQ">HR Privacy Policy</a>.<br></span></p></div>