The Role
Build, scale, and maintain data pipelines and transformation layers to ingest diverse sources, ensure data reliability and freshness, optimize data models and compute, create a semantic layer for self-service analytics, support BI reporting, collaborate with cross-functional leadership, and mentor analysts and scientists on engineering best practices.
Summary Generated by Built In
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 [email protected]. Check out our careers page to get to know us better as you think about your next step at Neighbor!
Skills Required
- 5+ years as a software engineer, including 3+ years focused on data engineering or analytics engineering
- Bachelor's degree in a quantitative or technical field or equivalent practical experience
- Expert-level mastery of SQL, including writing, tuning, and optimizing 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 ingestion, transformation, and automated cleansing (ETL/ELT)
- Advanced ability to translate complex datasets into actionable narratives using modern BI and reporting tools
- Proven track record of using quantitative analysis to solve ambiguous problems and drive strategic decisions
- Exceptional ability to collaborate with non-technical stakeholders and translate business requirements into technical specs
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The Company
What We Do
Neighbor is a peer-to-peer storage company that connects people with unused space to people in need of storage. Through Neighbor, homeowners turn their garages, basements, RV pads, etc. into extra monthly income and renters are given a flexible and affordable storage alternative. Demand for self storage has never been higher in the USA and supply is limited, which means high prices and inflexible contract agreements.
