Software Engineer, Data

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

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.

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.