Full Stack Data Engineer

Summary

We are looking for a motivated and enthusiastic full-time data-focused engineer to work on our internal data stack. As a part of the RIP Medical Debt Info Systems team, you’ll be working in a cross-functional capacity developing and supporting data solutions for our custom data workflows. This is a data-focused role in a small but rapidly growing non-profit organization and is a great opportunity to contribute in an impactful way to the growth and scalability of our debt relief programs.

Essential Duties and Responsibilities

Data Engineering

• Assist the Info Systems development team in data platform design and implementation
• Assist with data modeling and database design
• Develop high-performance data analytics tools to investigate, analyze, and deliver reliable and reusable reporting and data APIs
• Ensure a high degree of privacy and security in data delivery

Software Development

• Writing reusable, testable, and efficient front-end and back-end code
• Develop scalable client and server-side data solutions to house and maintain sensitive medical data
• Design and implement API endpoints for data access and manipulation
• Work with relational databases and schema-less data solutions
• Participate in the design and planning of new features as part of the software development lifecycle

Other Duties and Responsibilities

• Manage and report on activity via project management tools (Jira, Asana, etc.)
• Adhere to the organization's conflict of interest and code of ethics policies

Required Work Experience

• 3-4 years experience in a professional software development environment
• 3-4 years experience developing software in Python
• 3-4 years experience working with data analytics tools such as Pandas/Numpy or similar tools
• Experience working with industry-standard data storage and warehouse solutions (Postgres/Redshift)

Required Skills

• Python. Additional experience in Java, Go, C++, etc. a plus
• Experience with Pandas or Numpy Python libraries, or similar data analysis tools such as R or Matlab
• Experience working with leading relational database solutions (Postgres, MySQL, Oracle, etc.) including working knowledge of SQL and ORM libraries
• Experience or familiarity with NoSQL solutions a plus (Elasticsearch, MongoDB, Redis, etc.)
• Experience working in a professional software development team setting, familiarity with Scrum, or other agile development practice

Required Education

• Bachelor degree in computer science, data engineering, mathematics, or related software development focus