Software Engineer - Data Platform and Products - Branch Metrics

At Branch, we’re transforming how brands and users interact across digital platforms. Our mobile marketing and deep linking solutions are trusted to deliver seamless experiences that increase ROI, decrease wasted spend, and eliminate siloed attribution. Our team consists of smart, humble, and collaborative people who value ownership over all we do to create a product, team, and company that lives and breathes our motto: Build Together, Grow Together, Win Together.

As a Software Engineer - Data Platform and Products at Branch, we are looking for an ambitious, self driven individual who is at home on a PB scale data platform to join our growing data platform, products and engineering team.

As a Software Engineer - Data Platform and Products, you’ll get to:

• Architect, build and manage real-time and batch data pipelines and data aggregation systems to empower self service reporting on our big data platform.

• Lead the design and implementation of complex distributed systems - be it a new service to power new functionality or data pipelines to ingest large volumes of data or implementing state of the art complex algorithms.

• Build APIs to backend complex data systems across a range of technologies to support new and improved product functionality.

• Partner with data scientists, data analysts, fraud specialists, infrastructure engineers and product managers to design, build and deliver big data projects and new data platform capabilities.

• Debug hard problems - that’s a given! When things break -- and they will -- you will find yourself debugging those challenging bugs and will be eager to fix things.

• Continuously learn something new, whether it’s a new technology or a quirk of a language we otherwise didn’t know. On occasion, you may find yourself picking up a new language or working with an unfamiliar platform.

You’ll be a good fit if you have:

• At least 3+ years of data relevant software engineering experience.

• A proven track record in building and maintaining big data platforms for streaming and batch data processing, data engineering, building backend systems and APIs.

• Solid background in the fundamentals of computer science, distributed systems, concurrency, resiliency, caching, large scale data processing, database schema design and data warehousing.

• Strong hands-on coding experience in Java, Python, SQL and comfortable diving into any new language or technology.

• Experience with some or similar or all of Spark, Airflow, Hive, Druid, Presto, PostgreSQL, DBT, ETL, and familiarity with key/value databases.

• Experience working with modern cloud based microservice architectures.

• Experience with Linux and containers using Docker and Kubernetes is a big plus.

• Good understanding and experience in modern ETL with DAG design patterns, data quality checks etc.

• Ability to display a significant ownership of features and systems and pursue results driven development approaches consistent with pragmatism.

• Ability to build systems that balance scalability, availability, and latency.

• Strong ability to advocate for improving engineering efficiency, continuous deployment and automation tooling, monitoring solutions, and self-healing systems that enhance developer experience.

• Good communication skills and a force-multiplying track record.

• A desire to learn and grow, push yourself and your team, share lessons with others and provide constructive and continuous feedback, and be receptive to feedback from others.

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 Palo Alto, CA is $125,000 - $160,000.

Please note that this information is provided for those hired in Seattle only. Compensation for candidates outside of Seattle 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.

This role is 100% remote in Seattle. This role is not eligible for remote work in any other location.

A little bit about us: 

• Branch is well capitalized with funding from  investors such as NEA, Founders Fund, and Playground Global.

• We are headquartered in Palo Alto, CA with teams around the globe.

• Diversity at Branch ranks in the top 10% for similarly sized companies (by Comparably).

• In 2022, we were recognized as one of Forbes Best Startups and certified by Great Places to Work.

• We have more than 3 billion monthly users and are partnered with over 100,000 apps.