Software Engineer - Python @ Jobs via eFinancialCareers
placeHybrid
attach_money $300,000
businessHybrid
scheduleFull Time
Posted 5 days ago
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Job Details
Role: Software Engineer - Python
Salary: Up to $300,000 P/A + Bonus + Benefits
Location: US/Remote
Client: Top Fintech
About:
Our client is an ambitious and rapidly scaling fintech firm operating at the intersection of investment technology and data innovation. They are seeking a talented Python Developer to join their growing team, build robust systems, work with data, and embrace emerging technologies.
What You’ll Do:
- Develop and maintain high-performance Python applications for quantitative investment software.
- Design and implement scalable data pipelines and data engineering solutions.
- Collaborate with cross-functional teams including product, data science, and engineering.
- Contribute to system architecture, design decisions, and continuous improvement initiatives.
- Stay updated on new technologies and innovative approaches.
What We’re Looking For:
- 4+ years of professional Python development experience.
- Strong data engineering skills including ETL, modeling, and processing.
- Deep understanding of modern software engineering practices such as testing, CI/CD, and agile methodologies.
- Passion for technology with an interest in financial markets.
- Degree in Computer Science or related field from a top 100 global university.
- Self-starter with the ability to thrive in a remote-first environment.
What We Offer:
- Fully remote working arrangement with flexible hours.
- Competitive base salary and significant performance bonus.
- Opportunity to shape the future of a fast-growing fintech firm.
Key skills/competency:
- Python
- Data Engineering
- ETL
- CI/CD
- Agile
- Testing
- Fintech
- Software Development
- Data Modeling
- Remote Work
How to Get Hired at Jobs via eFinancialCareers
🎯 Tips for Getting Hired
- Customize your resume: Tailor skills to Python and fintech.
- Highlight remote experience: Demonstrate self-managed work style.
- Showcase data projects: Emphasize ETL and data modeling expertise.
- Prepare for technical tests: Expect coding and architecture questions.
📝 Interview Preparation Advice
Technical Preparation
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Review Python coding challenges.
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Practice data pipeline designs.
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Study ETL and modeling techniques.
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Update knowledge on CI/CD tools.
Behavioral Questions
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Describe remote work experience.
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Explain a project collaboration scenario.
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Discuss handling tight deadlines.
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Share problem-solving experiences.
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