Pay
Lower than most similar jobs
$110K–$130K against $127K–$190K, the middle half of what similar US postings state.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Business Intelligence Engineer II
Santa Monica, CA/Remote
Live, first seen by us 46 days ago- Pay
$110,000–130,000/year · BaseAnnual period assumed — pay source
#LI-Remote The US base salary range for this full-time position is $110,000-$130,000. 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.
Read the full posting- Work setting
Remote — work setting source
Listed location: Santa Monica, CA/Remote
Read the full posting- Employment
- Not stated
What you’ll work on
Full postingDesign data systems that serve business teams and product engineering
Translate cross-domain business questions into tested, reusable data models
Apply software engineering practices to data work: testing, CI/CD, code review
Embed analytical and data-modeling capabilities into product pipelines
Coach teammates and set data engineering standards
From the employer’s posting
Lead the design and implementation of data systems that serve both our operational business stakeholders
Translate complex, cross-domain business questions into robust, well-tested, reusable data sets and models
Bring software engineering rigor to data work: testing, CI/CD, code review, version control, observability
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
What you’ll bring
All qualificationsCore experience
- 3+ years as a Data Engineer, analytics/BI Engineer or in a similar role at an IC level.
- 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).
Preferred experience
- 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.
Qualification wording
3+ years as a Data Engineer, analytics/BI Engineer or in a similar role at an IC level.
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).
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.
About Ziprecruiter
To actively connect people to their next great opportunity.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 19, 202646 days ago
- Recorded sightings
- 37
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 46
Similar jobs usually come down between day 5 and day 54.
From 10,733 similar postings that came down. Coming down is not always a hire.
Ziprecruiter is hiring
15 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Engineer hiring is picking up
- Its jobs tend to stay up a long time
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- Scala
- SQL
- BigQuery
- Databricks
- dbt
- Delta Lake
- Kubernetes
- Redshift
- Snowflake
- Spark
- PySpark
Where the posting names them
- 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.
- 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.
- 3+ years as a Data Engineer, analytics/BI Engineer or in a similar role at an 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.
Summary: As a BI Engineer II 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. *We are open to leveling for this role based on experience and interview performance
- 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.
Your next step
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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 BI Engineer II 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.
*We are open to leveling for this role based on experience and interview performance
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:
- 3+ years as a Data Engineer, analytics/BI Engineer or in a similar role at an 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 $110,000-$130,000. 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.
Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at: https://www.ziprecruiter.com/careers/job-applicant-privacy-notice
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
#LI-Remote The US base salary range for this full-time position is $110,000-$130,000. 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.
- Location & working pattern
Santa Monica, CA/Remote
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:
More source context
- Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is $110,000-$130,000. 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.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.