# Data Engineer

**Company:** [Neighbor](https://hotfix.jobs/companies/neighbor)
**Location:** Lehi, UT
**Role:** Data Engineering
**Experience:** 3+ years
**Skills:** SQL, Python, ETL, ELT, Data Lakes, Data Warehouses, CI/CD, Version Control, Data Pipelines, Business Intelligence
**Posted:** 2026-02-10

> Builds and scales data pipelines and infrastructure to ingest, transform, and deliver actionable insights from raw events. Requires 3+ years experience, expert SQL, programming, and ETL/ELT expertise for nationwide marketplace.

## Job Description

## 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 necessary—performing 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
- Bachelor's 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

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