# Software Engineer, Data

**Company:** [Neighbor](https://hotfix.jobs/companies/neighbor)
**Location:** Lehi, UT
**Role:** Data Engineering
**Experience:** 5+ years
**Skills:** SQL, dbt, Dagster, Redshift, athena, superset, ETL, ELT, Data Warehousing, data lakes, CI/CD, Python
**Posted:** 2026-07-29

> Build, scale, and optimize data pipelines and infrastructure that transform raw events into actionable intelligence for analytics, BI, and business decisions. First dedicated data engineer on a small data team; own ingestion, transformation, semantic layer, and mentor analysts/scientists. Requires 5+ years software engineering with data emphasis, expert SQL, and data warehouse experience.

## Job Description

## 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; 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

## Stack
- dbt and Dagster on Redshift and Athena, with Superset for BI.

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**Canonical:** https://hotfix.jobs/jobs/c9f07775-b423-4de1-a43a-6f218a627266