Data Engineer

About Gruve

Gruve is an innovative software services startup dedicated to transforming enterprises to AI powerhouses. We specialize in cybersecurity, customer experience, cloud infrastructure, and advanced technologies such as Large Language Models (LLMs). Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks.

About the Role

We are seeking a skilled Data Engineer to design, build, and maintain end-to-end data pipelines and scalable infrastructure that supports machine learning models for the Data Science team and other business units. This role involves close collaboration with data scientists, researchers, and cross-functional technology teams to understand data processing and analytics requirements and translate them into effective technical solutions. You will also troubleshoot infrastructure issues, analyze data flows across company applications, and ensure reliable, secure, and compliant system operations in both production and non-production environments.

Key Responsibilities

• Design, develop, and maintain data pipelines and infrastructure to support machine learning solutions.


• Collaborate with data scientists and technology teams to understand analytics requirements and implement technical designs.


• Support development, validation, and deployment of machine learning models on healthcare and other business data.


• Analyze data flows across company applications to guide technology and platform decisions.


• Troubleshoot infrastructure issues across production and non-production environments.


• Partner with Technology and Digital Solutions teams to ensure secure, reliable, and compliant system operations.


• Participate in iterative design and continuous improvement of data infrastructure.

Basic Qualification

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent work experience.


• 3+ years of experience building data infrastructure for analytics teams.


• Strong coding skills in SQL, Python, or R for processing large datasets in distributed cloud environments.


• Experience with cloud deployment strategies and CI/CD pipelines.


• Experience with SaaS-based data infrastructure.


• Knowledge of multiple programming languages with willingness to learn new languages as needed.


• Familiarity with resource management and workflow automation tools.


• Collaborative mindset and ability to work closely with data science teams.

Preferred Qualifications

• Hands-on experience with machine learning model deployment and monitoring.


• Experience with healthcare data or regulated industries.


• Knowledge of modern workflow orchestration tools (e.g., Airflow, Prefect).


• Strong understanding of data security, compliance, and governance best practices.


• Experience in optimizing data pipelines for performance and cost-efficiency.

Salary Range

$141,802 - $151,802 USD

This position is being hired for a customer of Gruve.

Candidates may engage in one of the following ways:
• W-2 employee of Gruve, contracted to provide services to one of our clients
• 1099 independent contractor arrangement

Gruve is not able to provide visa sponsorship for this role. Applicants must be authorized to work in the United States without the need for current or future sponsorship.

Why Gruve

At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you’re passionate about technology and eager to make an impact, we’d love to hear from you.

Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.