a16z Software Engineer, Data
Posted Updated 8
views
Summary
Build and scale data pipelines and infrastructure for a hyperlocal marketplace, transforming raw events into actionable insights using dbt, Dagster, Redshift, and Superset.
At Neighbor, we’re building the largest hyperlocal marketplace the world has ever seen. We’ve raised over $75 million from top-tier investors such as Andreessen Horowitz and the CEOs of DoorDash, StockX, and Uber. Our marketplace is already flourishing in all 50 states and we’re just getting started!
As a Software Engineer, Data, you will be the core engineer responsible for building, scaling, and optimizing the data infrastructure that transforms raw events into high-fidelity, actionable intelligence. You will pioneer a foundation of engineering excellence, enabling the entire organization to make reliable, data-driven decisions at scale across all 50 states.
You'll join our data & analytics team as its first dedicated data engineer, working alongside data analysts and data scientists. You'll own the pipelines and transformation layer that power analytics at Neighbor: ingesting data from production databases, APIs, and event streams, and serving it through our semantic layer and BI tools. You'll be the engineering backbone of a small, high-leverage data team.
Our stack: dbt and Dagster on Redshift and Athena, with Superset for BI.
Primary Responsibilities
- Design and build robust pipelines to ingest data from diverse sources (APIs, logs, relational DBs).
- Ensure the reliable and timely execution of all critical data pipelines (ETLs/ELTs) to maintain data integrity and freshness.
- Standardize analytics workflows by integrating software engineering best practices, including version control, CI/CD pipelines, and automated data validation protocols.
- Develop and refine a robust semantic layer to facilitate self-service analytics, enabling stakeholders to derive insights without exposure to underlying architectural complexities.
- Monitor and optimize cloud compute utilization and data model performance to ensure high availability and low-latency reporting during periods of rapid data scaling.
- Serve as a strategic technical partner to leadership across Product, Engineering, Marketing, and Finance to align data infrastructure with organizational objectives.
- Become a subject matter expert on the product ecosystem, user behavior, and marketing life cycles to better translate raw data into business value.
- Go deep on analysis yourself when the question demands it, you're comfortable in both the pipeline and the insight
- Mentor our data analysts and data scientists on engineering best practices (code review, testing, version control, pipeline design), raising the technical bar across the team
Qualifications
- 5+ years as software engineer including 3+ years with an emphasis in data engineering or analytics engineering
- Bachelor's degree in quantitative and/or technical fields (Math, Physics, Statistics, Economics, Computer Science, Engineering, etc.) or equivalent practical experience
- Expert-level mastery of SQL, with the ability to write, tune, and optimize complex queries for high-volume environments
- Hands-on experience designing and maintaining data lakes or cloud-based data warehouses
- Deep understanding of data integration patterns, including data ingestion, transformation, and automated cleansing (ETL/ELT)
- Advanced ability to translate complex datasets into actionable narratives using modern business intelligence and reporting tools
- A proven track record of using quantitative analysis to solve ambiguous problems and drive strategic decision-making in a fast-paced environment
- Exceptional ability to collaborate with non-technical stakeholders, translating business requirements into technical specs and vice versa
Benefits
- Generous Stock options
- Medical, dental, and vision insurance
- Generous PTO
- 11 paid company holidays
- 401(k) plan
- Infant care leave
- On-site gym/showers open 24/7
About Neighbor:
Neighbor is the largest and most comprehensive marketplace for self storage and parking, with listings in almost every U.S. city. From storage facilities to neighborhood garages, driveways, and RV spots, Neighbor brings every option together in one simple search. Come help us disrupt the $500 billion storage and parking industry! This is a unique opportunity to join a fast-growing, VC-backed tech startup. You will be part of a an extremely talented, hardworking and passionate team committed to changing the world one neighbor at a time.
Neighbor is an equal opportunity employer and is committed to providing a positive interview experience for every candidate. If accommodations due to a disability or medical condition are needed, connect with us via email at hr@neighbor.com. Check out our careers page to get to know us better as you think about your next step at Neighbor!
Skills
As published by lever · 7 questions · 1 written answer
Basics
Resume/CV, Full name, Email, Phone, Current location, Current company, LinkedIn URL, Other website
Pick from a list (6)
- Are you currently authorized to work in the US?
- Will you now or at any point in the future require sponsorship to work at Neighbor?
- Do you have your Bachelor's degree in a quantitative and/or technical fields (Math, Physics, Statistics, Economics, Computer Science, Engineering, etc.) OR 5+ years work experience as a Data Engineer
- Do you have 5+ years of professional experience writing and shipping production software (application or service code in a language like Python, Java, Go, or Scala), as opposed to primarily SQL, dbt, or BI/reporting work?
- Do you have 3+ years of work experience in data engineering or analytics engineering?
- This is an in-person role at our Lehi, Utah HQ. Mondays are optional work from home days and we work in the office the rest of the week. Are you able and willing to commute and/or relocate to Utah for this position?
Written answers (1)
- Describe one piece of software you built from scratch that was NOT a SQL query or dbt model: a service, API, internal tool, framework, or library. What did it do, and what did you build it with?
