Lightningrowth
https://lightningrowth.comAbout
Lightningrowth helps home service businesses scale with expert Facebook ads, lead generation, and customer-retention software. Grow your service business with data-driven marketing strategies.
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We are a fully remote company with employees in the United States and the Philippines. We are looking to expand our team wherever we can find qualified candidates!
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Jobs at Lightningrowth
PythonMarketing Data Engineer (Remote)
Full-Time Contractor
Lightningrowth is a U.S.-based marketing company that specializes in Facebook lead generation for home-remodeling businesses. Although all ads run on Facebook, our clients use many different CRMs — which means we must manage, clean, and sync large volumes of lead data across multiple systems.
We’re hiring a Marketing Data Engineer to maintain and improve the Python scripts and data pipelines that keep everything running smoothly.
This is a remote role ideal for a mid-level engineer with strong Python, API, SQL, and communication skills.
What You’ll Do
- Maintain and improve Python scripts for:
- GoHighLevel (GHL) API
- Facebook/Meta Marketing API
- Build new API integrations for client CRMs and software tools
- Extract, clean, and transform data before loading into BigQuery
- Write and update SQL used for dashboards and reporting
- Ensure data accuracy and monitor automated pipeline reliability
- Help optimize automation flows (Make.com or similar)
- Document your work clearly and communicate updates to the team
Required Skills
- Strong Python (requests, pandas, JSON handling)
- Hands-on experience with REST APIs (auth, pagination, rate limits)
- Solid SQL skills (BigQuery experience preferred)
- Experience with ETL / data pipelines
- Ability to build API integrations from documentation
- Good spoken and written English communication
- Comfortable working independently in a fully remote setup
Nice to Have
- Experience with GoHighLevel or CRM APIs
- Familiarity with:
- Google BigQuery
- Google Cloud Functions / Cloud Run
- Make.com automations
- Looker Studio dashboards
- Experience optimizing large datasets or API usage
Experience Level
3–6 years of hands-on data engineering, backend Python work, or API integrations.
Compensation
- $2,500 – $4,000 USD per month (depending on experience)
How to Apply
Please include:
- Your resume
- Links to any Python/API/SQL samples (GitHub, snippets, etc.)
- A short note on why you’re a good fit
Qualified candidates will complete a short Python + API + SQL test.
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