Data Engineer

Summary

Join Proton, a revolutionary AI-powered sales software company transforming the wholesale distribution industry, as a Data Engineer. You will play a pivotal role in integrating client data into our proprietary CRM software, building robust and scalable solutions. This position requires proficiency in data handling, pipeline development, and software engineering principles. You will collaborate with various teams to deliver tailored solutions and enhance client engagement. The role offers a competitive salary, stock options, and a flexible schedule. Proton partners with Oyster HR for international employees as full-time contractors.

Requirements

• Hold a Bachelor’s degree in Computer Science, Software Engineering, or a related field
• Have 3+ years of experience in software development or data engineering roles
• Be proficient in Python for building scalable applications and automation tools
• Possess a strong understanding of SQL and relational data modeling
• Have experience with API design, development, and integration
• Be familiar with modern development tools and practices, such as version control (Git), CI/CD pipelines, and containerization (Docker)
• Possess strong problem-solving skills and the ability to manage multiple priorities
• Have excellent communication skills for cross-functional collaboration and presenting technical concepts to non-technical stakeholders
• Demonstrate a customer-focused mindset, ensuring solutions meet client needs with high standards of quality and timeliness

Responsibilities

• Design, build, and maintain data pipelines to integrate client data into CRM systems, utilizing APIs, flat file exchanges, or IPaaS platforms
• Apply software engineering best practices to develop reusable tools, scripts, and automation processes that enhance data workflows and system reliability
• Develop efficient processes to map incoming data to CRM structures, ensuring data accuracy and consistency
• Create dashboards and reports that provide actionable insights for internal teams and clients
• Collaborate with engineering teams to identify and resolve performance bottlenecks, improve system scalability, and enhance data pipeline robustness
• Contribute to client-specific initiatives by developing custom solutions, configuring APIs, and adapting IPaaS tools to business needs
• Maintain clear documentation of processes, data structures, and client integrations
• Generate reports for team and client updates

Preferred Qualifications

• Have experience with PySpark, Redis, Elasticsearch, or NoSQL databases
• Have experience building dashboards using tools like Looker, Tableau, or similar platforms

Benefits

• Competitive Salaries + Company Stock Options
• Flexible Schedule
• Biannual Company Paid Off-sites