Full Stack Data Products Engineer
📍 Remote · 📅 Published on 03-10-2026 · ⏳ Expires on 01-01-2027
Per month
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Description
Job Title: Full Stack Data Products Engineer
Location: Remote — worldwide.
Salary Range: Up to USD 4,000 per month, depending on experience.
Work Schedule: US business hours; exact schedule confirmed during selection.
Contractor Note: Independent contractor position.
Company Overview:
Sagan connects experienced international professionals with US-based businesses.
About the Role:
Build and run data products end to end, from ingestion through the user interface, within a small team. Improve existing systems and operate the data and server components behind them.
Key Responsibilities:
• Own a data product from data ingestion through the user interface.
• Develop data workflows with Python and pandas and work with PostgreSQL.
• Operate and maintain Linux servers.
• Investigate inherited, undocumented code and improve it.
Qualifications:
• Experience owning an end-to-end data product on a team of one to three people.
• Strong Python and pandas data engineering, PostgreSQL and Linux operations experience.
• Evidence of improving an inherited, undocumented codebase.
• Strong spoken English; an English introductory video is required during selection.
Resume Submission Guidelines:
Submit your complete resume in English using this job board’s application process.
How to Apply:
Apply through Jobbers. Describe one data product you owned end to end, the team size, your technical responsibilities and how you improved existing code. Use the same email if you have applied previously.
Location: Remote — worldwide.
Salary Range: Up to USD 4,000 per month, depending on experience.
Work Schedule: US business hours; exact schedule confirmed during selection.
Contractor Note: Independent contractor position.
Company Overview:
Sagan connects experienced international professionals with US-based businesses.
About the Role:
Build and run data products end to end, from ingestion through the user interface, within a small team. Improve existing systems and operate the data and server components behind them.
Key Responsibilities:
• Own a data product from data ingestion through the user interface.
• Develop data workflows with Python and pandas and work with PostgreSQL.
• Operate and maintain Linux servers.
• Investigate inherited, undocumented code and improve it.
Qualifications:
• Experience owning an end-to-end data product on a team of one to three people.
• Strong Python and pandas data engineering, PostgreSQL and Linux operations experience.
• Evidence of improving an inherited, undocumented codebase.
• Strong spoken English; an English introductory video is required during selection.
Resume Submission Guidelines:
Submit your complete resume in English using this job board’s application process.
How to Apply:
Apply through Jobbers. Describe one data product you owned end to end, the team size, your technical responsibilities and how you improved existing code. Use the same email if you have applied previously.