Business Intelligence Engineer

ZipRecruiter, Inc.
Santa Monica, CA, United States
14 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$125,000.0 - $165,000.0
Working hours
Regular working hours
Job source

Tech stack

Automation of Tests Big Data BigQuery Code Review Continuous Integration Data Warehousing Python (Programming Language) Query Optimization Software Engineering Cloud Platform System Sql Optimization Large Language Models
+8 more
Snowflake Apache Spark Git Data Lakes Pyspark Software Version Control Amazon Redshift Databricks

Job description

  • Architect across business and engineering: Lead the design and implementation of data systems that serve both our operational business stakeholders (RevOps, Decision Science) and our product and engineering teams.
  • Extend our internal AI platform: Contribute to and help shape the future with work that compounds across every analysis we run at Zip.
  • Set the engineering bar for data: Bring software engineering rigor to data work: testing, CI/CD, code review, version control, observability and evangelize these practices across the team.
  • Build and own data models: Translate complex, cross-domain business questions into robust, well-tested, reusable data sets and models.
  • Partner with product engineering: Collaborate directly with engineering teams to embed analytical and data-modeling capabilities into product systems and pipelines.
  • Mentor and uplevel: Coach teammates, raise the technical bar, and help establish standards that scale beyond any single project.

Requirements

  • 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 communicator who is comfortable working across both 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.
  • A platform engineering mindset - building tools and abstractions that make others more productive.

Benefits & conditions

  • Competitive salary
  • Exceptional benefits package
  • Flexible Vacation & Paid Time Off
  • Employer-matched 401(k) plan

LI-Remote

The US base salary range for this full-time position is $125,000-$165,000. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations.

Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits.

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