Jobs and Careers

Data Engineer (Senior level)

US - Remote, United StatesRemotefull_timeVerifiedPosted 26 Aug 2025

About the role

About Kustomer

Kustomer is the industry leading conversational CRM platform perfecting every customer experience. Built with intelligent tools such as AI and Automation, no code-configuration and a connected data platform that unifies data from multiple sources through a single timeline, Kustomer empowers businesses to operate with greater efficiency and deliver more personalized service to customers across any channel, making every interaction more meaningful and memorable. Today, Kustomer is the core platform for some of the leading customer service brands like Abercrombie, Away Travel, Reformation, Hexclad and Sweetgreen.

Kustomer was founded in 2015 by serial entrepreneurs Brad Birnbaum and Jeremy Suriel and has raised over $230M in funding backed by leading VCs. Meta announced its intention to acquire Kustomer in 2020 and completed the transaction in 2022. Kustomer joined Meta’s Business Messaging Group to transform the way people and businesses communicate through modern messaging channels.

In 2023, Kustomer spun out from Meta as a standalone company backed by original partners, Battery, Redpoint and Boldstart Ventures, who have invested $60M. In 2025, Kustomer announced a $30M Series B led by Norwest, with continued support from Battery, Redpoint, and boldstart. This milestone reflects strong conviction in our vision and fuels our next chapter of growth: expanding our AI-native platform, accelerating product innovation, and scaling our exceptional team.

Our Krew is made up of passionate and collaborative people who really care about what they do and the people they help. We look for people who are passionate about enhancing the customer service experience for everyone involved, as it's the core of what we do. We're growing our business with no plans of slowing down. We actively seek individuals who want to learn and be challenged every day. We have also transitioned to a remote friendly company, with Krew members located throughout the U.S. coming together for Kamp Kustomer each year.

About the Role

As a Data Engineer on Kustomer’s Engineering team, you will be responsible for growing our business by leveraging advanced data-engineering techniques to enhance our data architecture and streamline data-ingestion processes. Your expertise will be instrumental in improving our data-driven product offerings and in providing valuable insights that drive strategic product decision-making and help us grow globally.

We believe in ownership and are looking for people driven to continuously deliver excellence across all dimensions of their role. This role requires a deep understanding of both the technical and strategic aspects of big data solutions, including data modeling, data warehousing, and data integration.

What You’ll Do:

Data Engineering: Write and adapt tools to classify, ingest and reconcile data. Onboard datasets, explore data and automate tasks using a modern data stack. Develop and implement systems for eventually consistent usage-based data tracking. Design and build solutions to efficiently transport data to customers.
Data Analysis/Business Intelligence: Parse, analyze and understand data sets. Work closely with key stakeholders to identify valuable insights that can be realized from the amalgamation of our data and integration of disparate data sources. Partner with stakeholders and cross-functional teammates to effectively surface and visualize data.
Data Debugging: Find anomalies in datasets and debug issues relating to data availability, access, integrity, privacy and security.
Production Support: Provide proactive oversight of our data pipelines, handle inquiries from internal customers and resolve issues in a timely manner.
Best Practices: Conduct architecture, systems and data reviews across the platform. Provide education and support to the engineering team in data architecture and design. Identify and resolve deficiencies and deviance from best practices. Participate in data initiatives across the platform including scalability, reliability, and cost effectiveness.

Our Data Stack: