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Data & AI Solutions Engineer

Description

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

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.

Average salary estimate

$105000 / YEARLY (est.)
min
max
$90000K
$120000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data & AI Solutions Engineer, Rocket55

Rocket55 is on the lookout for a passionate Data & AI Solutions Engineer to revolutionize the way we harness data and artificial intelligence. In this exciting role based out of Minneapolis, Minnesota, you'll be the driving force behind building and maintaining our cutting-edge data infrastructure. Imagine creating AI-driven solutions that not only optimize performance but also ensure our data is accessible and accurate! You'll collaborate closely with our talented Analytics and AI teams, actively engaging in designing and constructing large-scale data processing systems that manage data pipelines, ensuring integrity and efficiency every step of the way. As you integrate AI solutions into our existing infrastructure, you'll get your hands on innovative tools like OpenAI APIs, working with big data technologies such as BigQuery to guarantee seamless data flows. Keeping up with the latest industry trends will be part of your journey, as you'll have the responsibility of recommending enhancements to keep our data infrastructure not just modern but also efficient. If you're ready to thrive in a fast-paced environment that celebrates growth, while making significant contributions to our data journey, this might just be the perfect opportunity for you! We can't wait to see you onboard at Rocket55!

Frequently Asked Questions (FAQs) for Data & AI Solutions Engineer Role at Rocket55
What are the main responsibilities of a Data & AI Solutions Engineer at Rocket55?

At Rocket55, a Data & AI Solutions Engineer will be responsible for designing, constructing, and maintaining large-scale data processing systems. This includes managing data pipelines from third-party sources to a centralized data warehouse, and collaborating with Analytics and AI teams to develop AI-powered solutions and ensure data integrity and efficiency.

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What qualifications do I need to apply for the Data & AI Solutions Engineer position at Rocket55?

To apply for the Data & AI Solutions Engineer role at Rocket55, candidates should have a Bachelor's degree in Computer Science, Information Technology, or a related field, along with a minimum of 5 years of hands-on experience in data engineering. Proficiency in SQL, Looker Studio, and experience with OpenAI APIs, big data technologies, and Python are also required.

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How does a Data & AI Solutions Engineer at Rocket55 utilize AI tools?

A Data & AI Solutions Engineer at Rocket55 will leverage AI tools by building and deploying AI systems using APIs from OpenAI and developing custom AI solutions. They will analyze data to identify patterns and implement machine learning algorithms to solve real-world challenges effectively.

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What technologies should a Data & AI Solutions Engineer at Rocket55 be familiar with?

Candidates for the Data & AI Solutions Engineer position at Rocket55 should be familiar with SQL, Looker Studio, OpenAI APIs, big data technologies like BigQuery, and APIs from various marketing and analytics platforms, as well as programming languages such as Python for AI development.

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What is the work environment like for a Data & AI Solutions Engineer at Rocket55?

The work environment for a Data & AI Solutions Engineer at Rocket55 is dynamic and fast-paced, focused on growth and innovation. Engineers will collaborate closely with cross-functional teams, enjoy flexibility, and get to work with advanced technologies and industry trends in AI and data engineering.

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Common Interview Questions for Data & AI Solutions Engineer
Can you describe your experience with data pipelines?

In answering this question, it's crucial to highlight specific examples from your past work where you designed, constructed, or maintained data pipelines. Discuss the technologies used, how you ensured data integrity, and any challenges overcome while optimizing performance.

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What big data technologies have you worked with, and how did you use them?

When responding, mention specific big data technologies like BigQuery, and detail your experience with them. Discuss the types of projects you worked on, how you utilized these technologies for data processing, and the impact your work had on project outcomes.

Join Rise to see the full answer
How do you integrate AI solutions into existing infrastructures?

It's essential to explain your approach to integration, including assessment of current systems, identifying compatibility issues, and planning for performance and scalability. Share examples where successful integration resulted in enhanced capabilities or efficiencies.

Join Rise to see the full answer
What version control systems are you familiar with, and how have you used them in projects?

Discuss your experience with version control systems, particularly Git. Share specific projects where you used version control for collaboration, tracking changes, or managing deployments, emphasizing the importance of it in maintaining project integrity.

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How do you keep up with industry trends in AI and data engineering?

Mention your strategies for staying updated, such as following industry publications, attending conferences, participating in online forums, or engaging with professional communities. Highlight any recent trends you've applied to your work.

Join Rise to see the full answer
Can you explain a time when your troubleshooting skills resolved a data issue?

Provide a specific instance where you encountered a data issue. Explain how you identified the root cause, the steps taken to troubleshoot, and the ultimate resolution. This showcases your problem-solving ability and analytical mindset.

Join Rise to see the full answer
What machine learning techniques have you implemented, and what were the results?

Detail the machine learning techniques you've applied, such as supervised or unsupervised learning, and the context of their application. Discuss the outcomes or predictive insights gained from these implementations.

Join Rise to see the full answer
Describe your experience with CI/CD pipelines and deployment processes.

In your response, convey your experience with CI/CD tools and methodologies, detailing specific projects. Discuss how you managed deployment processes, any challenges faced, and how effective CI/CD improved delivery timelines and quality.

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What tools do you use for data visualization and reporting?

Mention specific tools you have experience with, like Looker Studio, and describe how you've used them to collaborate with stakeholders and provide insights through compelling data storytelling.

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How do you prioritize tasks when working on multiple projects?

Explain your method for prioritization, whether it be based on deadlines, project impact, or stakeholder needs. Consider sharing a relevant anecdote demonstrating effective time management in a complex project environment.

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Rocket55 is a digital impact agency, serving as a guide for our clients as they wade through today’s murky marketing landscape. We combine old-fashioned client service with our deep digital expertise—with a relentless pursuit of results and innova...

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Full-time, on-site
DATE POSTED
April 3, 2025

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