Python/Data Engineer
Listed on 2026-06-04
-
IT/Tech
Data Analyst, Data Science Manager
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This range is provided by iStaff. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range$90,000.00/yr - $/yr
We’re seeking a Python Developer to join a highly collaborative and laid-back engineering team working on impactful data-driven projects. This is a fully remote opportunity to work with a team of experienced developers, including a Software Architect and VP, who value clean code, continuous learning, and a positive team culture.
What You’ll Do:
- Develop and maintain Python applications using Pandas, Num Py, and FastAPI
- Build and deploy AWS Lambdas using SAM
- Work with PostgreSQL (functions, stored procedures, data integrity)
- Design and consume RESTful APIs and integrate with third-party services
- Participate in cloud migration and optimization using AWS services such as S3, IAM, and Event Bridge
- Collaborate with the team to visualize and interpret data through dashboards
- Contribute to CI/CD processes using Git and modern workflows
Nice to Have:
- Experience with AWS Quick Sight, Power BI, Tableau, or Domo
- Background in math, probability, or statistics
- Exposure to LLMs (e.g., Lang Chain, Lang Graph) or AWS Bedrock
- You bring 3+ years of professional Python experience (or more!)
- You’re comfortable in a remote-first environment
- You can adapt quickly, communicate clearly, and enjoy working in a "chill but productive" team culture
- You're open to growing into some client-facing responsibilities over time
- You’re ready to join a team that values impact over ego
Why This Role?
- Be part of a small but growing team making big moves in the cloud and data space
- Influence architecture and contribute to meaningful product decisions
- Join a company that values balance, ownership, and transparency
Interview Process:
A light technical screen / live coding session with the manager, followed up a video meeting with the VP or CTO.
Ready to make an impact while working with sharp minds in a relaxed, high-trust environment? We’d love to connect.
Seniority level- Seniority level
Mid-Senior level
- Employment type
Full-time
- Job function
Information Technology - Industries Staffing and Recruiting
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Inferred from the description for this jobMedical insurance
Vision insurance
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