Senior Business Intelligence Engineer

ZipRecruiter

. Lead the design and implementation of data systems serving operational business stakeholders and product and engineering teams .

Posted 9/18/2026full-timeSanta Monica • California • United StatesSenior💰 $125,000 - $165,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering, including advanced SQL, data modeling, and cloud-based data platforms. Proven ability to lead design and implementation of data systems while collaborating with cross-functional teams and applying software engineering best practices.

Highest-signal resume keywords

Advanced SQLData ModelingCloud-Based Data PlatformsSpark (PySpark or Scala)CI/CD

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringSchema DesignQuery OptimizationAutomated TestingMonitoringProduction-Level PythonData Warehouse ArchitectureBig Data EnvironmentsDbtAI/LLM-Powered Tooling

Soft Skills

Strong Communication SkillsCoaching Teammates

Tools & Technologies

DatabricksRedshiftSnowflakeBigQueryKubernetesDelta LakeData LakeGit

Industry Keywords

Data SystemsOperational Business StakeholdersProduct and Engineering TeamsAnalyticsBusiness Intelligence

Tech Stack

Tools & technologies

Amazon RedshiftBigQueryCloudKubernetesPySparkPythonScalaSparkSQL

About the role

Key responsibilities & impact

Lead the design and implementation of data systems serving operational business stakeholders and product and engineering teams
Contribute to and help shape ZipRecruiter’s internal AI platform
Apply software engineering rigor to data work, including testing, CI/CD, code review, version control, and observability
Translate complex, cross-domain business questions into robust, well-tested, reusable data sets and models
Collaborate with engineering teams to embed analytical and data-modeling capabilities into product systems and pipelines
Coach teammates, raise the technical bar, and establish scalable standards
Process billions of records daily using technologies such as Spark, Databricks, and Kubernetes

Requirements

What you’ll need

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

Benefits

Comp & perks

Competitive salary
Exceptional benefits package
Flexible Vacation & Paid Time Off
Employer-matched 401(k) plan
Full range of medical, financial, and other benefits
Equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package