Senior Business Intelligence Engineer

ZipRecruiter, Inc.; Santa Monica (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

ZipRecruiter, Inc. in Santa Monica, CA seeks a senior Data Engineer to design scalable data systems and AI-powered tooling powering ZipRecruiter decisions.

You will partner with RevOps, Decision Science, Product, and Engineering to build robust pipelines and advance the internal AI platform, applying software engineering rigor across data work and analytics.

Strong SQL, data modeling, cloud platforms, and Python are essential; you will mentor teammates and raise the technical bar across teams.

Qualifications

• Strong grasp of data warehouse architecture and modern modeling methodologies.
• Advanced SQL and deep proficiency in data modeling, schema design, and query optimization.
• Proficiency with cloud-based data platforms (Redshift, Snowflake, Databricks, BigQuery, or similar).
• Hands-on experience applying software engineering practices to data work: Git, CI/CD, code review, automated testing, monitoring.
• 5+ years as a Data Engineer, analytics/BI Engineer or in a similar role at a senior IC level.
• Strong communicator who is comfortable working across both business stakeholders and engineering teams.
• A platform engineering mindset — building tools and abstractions that make others more productive.
• Experience building or extending internal AI/LLM-powered tooling for analytics or developer workflows.
• Production-grade Python — beyond scripting, into shared libraries, services, or pipelines.
• Production-level proficiency with dbt and the modern data stack.
• Expertise with Spark (PySpark or Scala) and big data environments such as Delta Lake or Data Lake.

Responsibilities

• Design the data systems, models, and AI-powered tooling that scale ZipRecruiter operates and powers decisions, partnering with RevOps, Decision Science, Product, and Engineering teams.
• Lead the design and implementation of data systems serving operational stakeholders and product teams.
• Contribute to and help shape the future of ZipRecruiter's internal AI platform, impacting analyses.
• Bring software engineering rigor to data work: testing, CI/CD, code review, version control, observability and evangelize these practices.
• Translate complex, cross-domain business questions into robust, well-tested, reusable data sets and models.
• Collaborate directly with engineering teams to embed analytical and data-modeling capabilities into product systems and pipelines.
• Coach teammates, raise the technical bar, and help establish standards that scale beyond any single project.

Skills

SQL proficiency

Data modeling

Data warehouse design

Python

dbt

Spark

Delta Lake

Cloud platforms

CI/CD

Code review

Git

Analytics/BI

Communication

LLM tooling

Tools

dbt

Spark

Delta Lake

Redshift

Snowflake

Databricks

BigQuery

Python

Git

CI/CD

Job description

• Design the data systems, models, and AI-powered tooling that scale how ZipRecruiter operates and makes decisions, partnering with RevOps, Decision Science, Product, and Engineering teams
• Lead the design and implementation of data systems that serve both our operational business stakeholders (RevOps, Decision Science) and our product and engineering teams
• Contribute to and help shape the future of our internal AI platform, impacting every analysis we run
• Bring software engineering rigor to data work: testing, CI/CD, code review, version control, observability and evangelize these practices across the team
• Translate complex, cross-domain business questions into robust, well-tested, reusable data sets and models
• Collaborate directly with engineering teams to embed analytical and data-modeling capabilities into product systems and pipelines
• Coach teammates, raise the technical bar, and help establish standards that scale beyond any single project

Strong grasp of data warehouse architecture and modern modeling methodologiesAdvanced SQL and deep proficiency in data modeling, schema design, and query optimizationProficiency with cloud-based data platforms (Redshift, Snowflake, Databricks, BigQuery, or similar)Hands-on experience applying software engineering practices to data work: Git, CI/CD, code review, automated testing, monitoring5+ years as a Data Engineer, analytics/BI Engineer or in a similar role at a senior IC levelStrong communicator who is comfortable working across both business stakeholders and engineering teamsA platform engineering mindset — building tools and abstractions that make others more productiveExperience building or extending internal AI/LLM-powered tooling for analytics or developer workflowsProduction-grade Python — beyond scripting, into shared libraries, services, or pipelinesProduction-level proficiency with dbt and the modern data stackExpertise with Spark (PySpark or Scala) and big data environments such as Delta Lake or Data Lake