Business Intelligence Engineer
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
+8 more
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.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
Data Engineer Salary UK
Highest Paying Tech Companies for Developers
Top Big Data Technologies That You Need to Know
Making Data Warehouses Fast: A Developer’s Story