Business Intelligence Engineer II
ZipRecruiter · Santa Monica, CA/Remote
Posted today · $110,000-$130,000
or apply directly on ZipRecruiter's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 0 days ZipRecruiter's roles stay open a median of 86 days
- Reposted
- No
- Salary listed
- Yes 67% of ZipRecruiter's roles list one
- Ghost-job risk at ZipRecruiter
- high 44 stale, 2 reposted of 60 open
- Hiring momentum
- 72 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-30
Measured from postings appearing on and disappearing from ZipRecruiter's own greenhouse board since 2026-08-03. Full hiring picture for ZipRecruiter.
About this role
As a Business Intelligence Engineer II at ZipRecruiter, you will design and implement data systems that support both business and engineering teams. Your role involves building data models, extending AI platforms, and ensuring software engineering best practices are applied to data work. Collaboration with various teams will be key as you mentor others and help integrate analytical capabilities into product systems.
- benefits
- 2/5
- freshness
- 5/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of ZipRecruiter as an employer.
What you need
- 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.
Nice to have
- 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.
What you get
- Competitive salary
- Exceptional benefits package
- Flexible Vacation & Paid Time Off
- Employer-matched 401(k) plan
Worth weighing
- Salary range provided is $110,000-$130,000, which may vary based on location and experience.
- Role includes mentoring responsibilities, which may require additional interpersonal skills.
- The position is open to remote work, but specific exceptions may apply.
- The job requires collaboration across multiple teams, which may involve navigating different priorities.
Summarised from ZipRecruiter's posting. Read the full original.
Listed by ZipRecruiter on their greenhouse job board, last confirmed open on 2026-10-30. PitchMeAI is not the employer.
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