Python / Data Engineer

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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 - $110,000.00/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 , NumPy , 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 EventBridge
• 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 QuickSight , Power BI , Tableau , or Domo
• Background in math , probability , or statistics
• Exposure to LLMs (e.g., LangChain, LangGraph) 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

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Staffing and Recruiting

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Medical insurance

Vision insurance

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