Sr. Business Intelligence Engineer

ZipRecruiter, Inc.; United States; Hybrid; USD 125,000 - 165,000; Full time

Benefits offered by this job

Competitive salary

Exceptional benefits package

Flexible Vacation & Paid Time Off

Employer-matched 401(k) plan

Job summary

ZipRecruiter, Inc. is seeking a Senior BI Engineer on our Business Intelligence team to design data systems, models, and AI-powered tooling that scale decision making. You’ll collaborate with RevOps, Decision Science, Product, and Engineering to process billions of records daily using Spark, Databricks, and Kubernetes.

You’ll own data models, promote engineering rigor with testing and CI/CD, and mentor teammates to raise the technical bar across the data stack.

Qualifications

• 5+ years as a Data Engineer, analytics/BI Engineer, or senior IC.
• Advanced SQL and data modeling, schema design, and query optimization.
• Strong data warehouse architecture knowledge.
• Hands-on software engineering practices: Git, CI/CD, code review, automated testing, monitoring.
• Experience with cloud data platforms (Redshift, Snowflake, Databricks, BigQuery).
• Excellent cross-functional communication.

Responsibilities

• Architect data systems that serve RevOps, Decision Science, product, and engineering teams.
• Extend and shape internal AI platforms for analytics.
• Enforce engineering rigor: testing, CI/CD, version control, observability.
• Build and own robust data models and datasets.
• Collaborate with product engineering to embed analytics in pipelines.
• Mentor teammates and raise the technical bar across the data stack.

Skills

Advanced SQL

Data modeling

Data warehouse architecture

CI/CD practices

Observability

Cross-functional collaboration

Communication

Tools

Spark

dbt

Python

Redshift

Snowflake

Databricks

BigQuery

Delta Lake

Job description

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 :

As a Senior BI Engineer on our Business Intelligence team, you’ll sit at the intersection of data, business, and engineering - designing the data systems, models, and AI-powered tooling that scale how ZipRecruiter operates and makes decisions. You’ll partner with RevOps, Decision Science, Product, and Engineering teams, working with technologies like Spark, Databricks, and Kubernetes to process billions of records daily.

Key Focuses:

• 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.

Minimum Qualifications:

• 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.

Preferred Qualifications:

• 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.

As part of our team you’ll enjoy:

• 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.

ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics.

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