At Neighbor were building the largest hyperlocal marketplace the world has ever seen. Weve 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 were just getting started!
As a Data Engineer you will be the core engineering resource 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.
This engineering resource will be the cornerstone of our data infrastructure responsible for extraction transform and load of the data that powers our nation-wide best-in-class marketplace. By implementing software engineering best practices and scalable solutions this role is critical in empowering the CEO executive team managers and individual contributors with the robust and trustworthy intelligence needed to scale and innovate across our marketplace.
Primary Responsibilities
- Design implement and maintain scalable data transformation layers and code-first orchestration frameworks to ensure the delivery of high-fidelity reusable data models
- 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
- Serve as a versatile technical resource capable of stepping into the Data Analyst capacity when necessaryperforming deep-dive quantitative analysis and building sophisticated visualizations to support executive decision-making
- Mentor the data analytics team on advanced technical methodologies to foster a culture of engineering excellence and data autonomy
Qualifications
- 3 years of experience in data engineering or analytics engineering
- Bachelors degree in quantitative and/or technical fields (Math Physics Statistics Economics Computer Science Engineering etc.) OR 5 years work experience as a Data Engineer
- Expert-level mastery of SQL with the ability to write tune and optimize complex queries for high-volume environments
- Strong command of at least one major programming language used for data processing
- 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)
- Experience applying scientific mathematical or statistical techniques to analyze data and build predictive models
- 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
- Hybrid work model - WFH every Monday
- 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.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
IC
At Neighbor were building the largest hyperlocal marketplace the world has ever seen. Weve 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 were just getting started!As a ...
At Neighbor were building the largest hyperlocal marketplace the world has ever seen. Weve 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 were just getting started!
As a Data Engineer you will be the core engineering resource 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.
This engineering resource will be the cornerstone of our data infrastructure responsible for extraction transform and load of the data that powers our nation-wide best-in-class marketplace. By implementing software engineering best practices and scalable solutions this role is critical in empowering the CEO executive team managers and individual contributors with the robust and trustworthy intelligence needed to scale and innovate across our marketplace.
Primary Responsibilities
- Design implement and maintain scalable data transformation layers and code-first orchestration frameworks to ensure the delivery of high-fidelity reusable data models
- 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
- Serve as a versatile technical resource capable of stepping into the Data Analyst capacity when necessaryperforming deep-dive quantitative analysis and building sophisticated visualizations to support executive decision-making
- Mentor the data analytics team on advanced technical methodologies to foster a culture of engineering excellence and data autonomy
Qualifications
- 3 years of experience in data engineering or analytics engineering
- Bachelors degree in quantitative and/or technical fields (Math Physics Statistics Economics Computer Science Engineering etc.) OR 5 years work experience as a Data Engineer
- Expert-level mastery of SQL with the ability to write tune and optimize complex queries for high-volume environments
- Strong command of at least one major programming language used for data processing
- 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)
- Experience applying scientific mathematical or statistical techniques to analyze data and build predictive models
- 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
- Hybrid work model - WFH every Monday
- 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.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
IC
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