Data & AI Solutions Engineer

About the position

Rocket55 is seeking a talented Data & AI Solutions Engineer to join our team. The ideal candidate will be instrumental in building and maintaining our data infrastructure, creating AI-powered solutions, and optimizing performance across our data platforms. This role will work closely with our Analytics and AI teams to ensure data is accessible, accurate, and ready for advanced AI solutions. The ideal candidate will be within commuting distance of Minneapolis and thrive in a fast-paced, growth-focused environment.

Responsibilities

• Design, construct, and maintain large-scale data processing systems, including managing data pipelines from third-party sources to a centralized data warehouse, ensuring data integrity and efficiency.
• Build and deploy AI systems using APIs from OpenAI while experimenting with new tools and offerings.
• Develop and optimize AI agents, utilize machine learning to determine patterns, and custom AI tools to address real-world challenges.
• Work with big data technologies like BigQuery to ensure data is readily available for model consumption and integration to reporting platforms.
• Collaborate with Analytics and AI teams to design world-class visualization and reporting solutions.
• Work closely with stakeholders to gather requirements, implement feedback, and refine data infrastructure.
• Integrate AI solutions seamlessly into our existing infrastructure, prioritizing performance and scalability.
• Stay up-to-date with industry trends, tools, and techniques in AI development and data engineering.
• Recommend and implement enhancements to keep our data infrastructure modern and efficient.
• Write tests and optimize performance for latency-sensitive applications.

Requirements

• Bachelor's degree in Computer Science, Information Technology, or related field.
• Minimum of 5 years of hands-on experience in data engineering.
• Proficiency with SQL and Looker Studio data modeling.
• Experience with OpenAI APIs, as well as data warehousing like BigQuery.
• Experience with APIs from a variety of marketing and analytics platforms such as GA4, Amazon, Bing and Hubspot.
• Familiarity with Python and related frameworks for AI development.
• Strong analytical, debugging, and problem-solving skills.
• Experience with version control systems like Git.
• Excellent communication and collaboration abilities.
• Experience with deployment processes, CI/CD pipelines, and server management.

Benefits

• Complimentary parking
• Health, dental, and vision insurance
• 401(k) with matching contributions from the Company
• Life insurance and Accidental Death & Dismemberment (AD&D) coverage
• Company-provided Short Term Disability insurance
• Long Term Disability coverage
• Paid Time Off
• Holiday pay, including Floating Holiday
• Flexible work schedules