SimplyAnalytics is a powerful spatial analytics and data visualization application used by thousands of business, marketing, and social science researchers in the United States and Canada. It comes pre-packaged with 200,000+ data variables and allows our users to create maps, charts, tabular reports, and crosstabs. We are passionate about creating outstanding software, and we believe in test driven development, continuous integration, and code review.
As a small company, each of our developers has an important role to play - at SimplyAnalytics, you are not just another cog in the wheel, you are an integral member of our team. You will be working on valuable features and making key decisions that impact the direction of the application and the satisfaction of our users.
We're looking for a Senior Software Engineer - Backend to take on an important role in the development and maintenance of our cutting edge analytics and data visualization application. You'll be developing and maintaining production-quality in-house tools and customer-facing features within a large shared code base.
The ideal candidate is a self-starter, has a high level of attention to detail, is comfortable asking questions, enjoys working with talented colleagues, and has an interest in analytics and data visualization.
This is a 100% remote position, our developers can live and work anywhere in the United States or Canada. This is a full-time salaried position.
Responsibilities:
Responsibilities:
- Design, develop, and test features, both in-house and customer-facing
- Write high-quality, clean, scalable, maintainable code (e.g., PEP 8, PSR-12)
- Contribute ideas for new features or improvements to existing features
- Assist colleagues through code-review, collaboration, and troubleshooting
Required:
- 5+ years of professional software development experience
- 3+ years of experience working with large Python or PHP codebases
- Comfortable using Linux CLI
- Solid experience with PostgreSQL
- Advanced relational database and data manipulation skills
- Experience with development on large OOP software projects
- Experience using AWS services
- Thorough understanding of API design principles
Bonus:
- ETL tool experience (e.g., Dagster, Spark, Airflow)
- Experience with geospatial demographic, business, marketing, or health data