We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.)

Our Mission:

To actively connect people to their next great opportunity.

Who We Are

ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android.

Summary

The Tech Enablement team is central to the velocity and quality of our entire engineering organization. Our mission is to build the scalable, reliable, and efficient infrastructure, tools, and processes that allow every product team to quickly deliver innovative products and services to our customers.

The Tech Enablement team ensures engineering efficiency and provides the foundational building blocks for the entire technology stack:

Data Infrastructure & Systems: We help developers at ZipRecruiter sustainably follow best practices and implement robust solutions by allowing engineers and data scientists to focus less on underlying technologies and more on building products and features that delight ZipRecruiter’s customers. To do this, the team builds, maintains, and drives adoption of tools for engineers that aid in data processing, dataset ingestion, dataset discoverability, data pipeline orchestration, data documentation, data analysis, building ML model pipelines, and running experiments.
AI Enablement: We help developers at ZipRecruiter leverage AI as a part of their tech stack by building and maintaining an agentic AI data exploration and analysis tool to democratize access to data, collaborate on insights, and accelerate data driven decision making. Starting from a natural language chat interface, the AI assisted tool assists with every aspect of using data, from finding the right data sources and writing queries to using them to visualize and analyze the results. We also manage an LLM Gateway which powers all of ZipRecruiter’s LLM usage in our customer facing products.

Key Focuses

As a Big Data Engineer in Tech Enablement, you will:

Data Ingestion & Datalake Management: Design, build, deploy, and maintain the data pipelines and systems that make web events available in our datalake and via event streams for various downstream applications to process.
Big Data Processing: You'll tackle challenges with large, evolving datasets, using a mix of batch and streaming techniques to make critical trade-offs between speed, efficiency, and reliability.
MLOps: Design, build, deploy, and maintain frameworks and systems that accelerate ML development across teams and products at ZipRecruiter, with the goals of improving the velocity, quality, observability, and reliability of ML development and ML powered products.
Data Documentation Framework: Design, build, deploy, and maintain frameworks and systems to improve the comprehensiveness and quality of data documentation at ZipRecruiter through processes and tooling that allows both humans and automated processes to easily add, maintain, and discover documentation.
Data Analysis Agent: Design, build, deploy, and maintain an agentic data exploration and analysis tool, Sift, to democratize access to data, collaborate on insights, and accelerate data driven decision making.

Minimum Qualifications

4+ years of professional software development experience, including building and operating data pipelines that feed into a customer facing product
Hands-on Apache Spark experience: writing, tuning and debugging batch and/or streaming jobs at scale
Experience deploying and operating containerized services and batch jobs
Solid computer science fundamentals: data structures, algorithms, distributed systems, and testing
Professional software development experience, including building and operating data pipelines and infrastructure that feed into a customer facing product