Sales Engineer

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TYPE OF WORK

Any

SALARY

$8.5/hr

HOURS PER WEEK

40

DATE UPDATED

Sep 22, 2026

JOB OVERVIEW

Scout Data is an AI-powered sales platform for home services professionals in solar, roofing, HVAC, and other industries. We help teams find the right prospects using property data and real buying signals such as recent move-ins, storm damage, aging roofs, permit history, and solar installations.

We are hiring a Software Data Engineer with strong data analytics experience and good technical intuition to support our sales process and help customers with data exports. This role combines technical problem-solving and data work.

What you'll do:

- Help prepare, customize, validate, and troubleshoot data exports
- Analyze datasets and identify issues, patterns, or inconsistencies
- Explain technical concepts clearly to customers and non-technical teammates
- Join customer or prospect calls when technical expertise is needed
- Document repeatable processes and improve the data-export workflow
- Verify that completed exports are accurate and meet customer expectations

What we're looking for:

- Strong practical experience with JavaScript
- Experience working with data analytics, data exports, CSV files, or large datasets
- Excellent written English
- Strong attention to detail and a methodical approach to troubleshooting
- Comfortable speaking with customers and participating in sales conversations
- Able to understand business needs and recommend practical technical solutions
- Reliable, organized, responsive, and able to work independently
- Experience with SQL, APIs, spreadsheets, data visualization, or SaaS products is a plus
- Prior experience as a Sales Engineer, Solutions Engineer, Implementation Specialist, Data Analyst, or Software Engineer is a plus

Schedule and pay:

- Full-time remote role
- 40 hours per week
- Must be available M-F, 9 AM - 5 PM Pacific Time (California Timezone)
- $8.5 USD per hour

How to apply [IMPORTANT]:

Please include all of the following in your application:

1. A Loom video or another publicly accessible audio/video recording link. In 60-90 seconds, introduce yourself and explain your experience with data analytics, data exports, and AI tools.
2. Your WhatsApp number, including country code.
3. Your current email address.
4. Your résumé/CV as an attachment or publicly accessible link.

Please confirm that every link can be opened without requesting access. Applications missing the recording, WhatsApp number, email address, or résumé will not be considered.

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