Senior Fullstack Software Engineer

Addepar
Summary
Join Addepar's Partner Platform team as a Senior Fullstack Software Engineer to build a new platform enabling third parties to engage with Addepar at scale. You will architect, implement, and maintain engineering solutions, lead project priorities, collaborate with product managers and engineers, communicate technical ideas, mentor other engineers, and participate in the design and development of a strategic product. The ideal candidate possesses a B.S. or M.S. in Computer Science or a similar field, 4+ years of software engineering experience, proficiency in backend development (Python or Java), and experience with databases. A strong ownership mentality, passion for automation, and proven collaboration skills are essential. The salary range is $126,000-$197,000 + bonus + equity + benefits.
Requirements
- B.S., or M.S. in Computer Science or similar technical field of study (or equivalent practical experience)
- 4+ years of software engineering experience
- Proficient in backend development, specifically with Python or Java
- Experience with databases, SQL, NoSQL, OLAP, and/or data lake architectures
- A strong ownership mentality and drive to solve the most important problems
- Passion for implementing standard processes with a bias toward smart automation
- Proven ability to collaborate with and mentor other engineers
Responsibilities
- Architect, implement, and maintain engineering solutions to solve complex problems; write well-designed, testable code
- Lead individual project priorities, deadlines, and solutions
- Collaborate effectively with product managers, engineers and partners on projects
- Communicate technical ideas and set direction on projects with a focus on solving business challenges
- Mentor other engineers on the team
- Participate in the design and development of a strategic product for Addepar
- Write clean, efficient, and maintainable code that's also scalable and extensible
Preferred Qualifications
- Experience in data processing and analysis using SQL, PySpark, or similar frameworks is a plus
- A rapid learner with robust analytical and problem-solving abilities
Benefits
- Bonus
- Equity
- Benefits
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