AI Engineer (Data) - 100% Remote

About the Company

RevStar is an innovation-focused company and an official Databricks Partner. The company is building a dedicated, cloud-agnostic Data, Machine Learning, and AI practice focused on delivering modern Lakehouse architectures and production-ready AI solutions for enterprise clients.

RevStar emphasizes three core principles: Self-Mastery, Ownership, and Shared Destiny. Its teams focus on continuous improvement, accountability, and shared success.

About the Role

RevStar is seeking a Data & AI Engineer to build and deliver scalable Lakehouse solutions, data pipelines, and production AI models. Reporting to the Product Manager or Engineering Lead, you will work directly with data architects, data scientists, and client leaders to transform complex data into reliable enterprise solutions.

This role focuses on Databricks, Apache Spark, Delta Lake, and MLflow across multi-cloud environments. You will contribute to architecture, performance optimization, MLOps, and data governance while delivering solutions in a fast-paced Agile and DevOps consulting environment.

Key Responsibilities

Databricks Lakehouse & Pipeline Engineering

• Design, build, and optimize scalable ETL/ELT pipelines using Apache Spark and Delta Lake across AWS, Azure, and GCP.
• Implement Lakehouse architectures that process structured and unstructured data at enterprise scale.
• Automate data ingestion, storage, and feature engineering workflows for analytics and real-time AI workloads.

Performance Tuning & MLOps Integration

• Optimize Spark jobs for low latency, high throughput, and cloud cost efficiency.
• Partner with ML engineers and data scientists to operationalize AI models within Databricks.
• Use MLflow for model tracking, versioning, and deployment.
• Implement CI/CD pipelines and Infrastructure-as-Code using Terraform and Databricks CLI.
• Establish automated, production-grade deployment processes.

Data Governance & Client Collaboration

• Enforce enterprise data security, access controls, and compliance standards, including GDPR, HIPAA, and SOC 2, within Unity Catalog and cloud environments.
• Work directly with client technology leaders, product managers, and engineering teams to translate AI and data requirements into business outcomes.
• Prepare clear technical documentation.
• Lead solution handoffs to client engineering teams upon project completion.

Required Qualifications

• 3+ years of experience in cloud-native data engineering.
• At least 2 years of dedicated, hands-on experience with Databricks, Apache Spark, Delta Lake, and MLflow.
• Strong proficiency in Python, SQL, and Spark frameworks.
• Experience with CI/CD and Infrastructure-as-Code using Terraform or Databricks CLI.
• Experience working in fast-paced Agile and DevOps consulting environments.
• Ability to deliver cloud-agnostic architectures.
• Strong client communication and collaboration skills.

Preferred Qualifications

• Active Databricks Certified Data Engineer certification at the Associate or Professional level.
• Databricks ML Professional certification.

Core Principles

• Self-Mastery: Maintain high standards for thinking, communication, and continuous improvement.
• Ownership: Take responsibility for outcomes, not just effort.
• Shared Destiny: Work collaboratively and contribute to shared team success.

Location & Employment Details

• Remote positions available in Arizona, Washington, DC, Florida, Georgia, Iowa, Illinois, Maine, New York, New Jersey, South Carolina, Texas, and Virginia.
• Full-time W-2 employment.
• Reports to the Product Manager or Engineering Lead.

Benefits & Professional Development

• Paid time off.
• Remote-first working environment.
• Medical, dental, and vision coverage.
• Company-sponsored 401(k) retirement plan.
• Annual learning and development stipend for conferences, certifications, and courses.
• Peer mentorship and coaching from experienced engineers, product managers, and architects.
• Professional growth opportunities involving AWS GenAI, data, and cloud technologies across diverse industries.
• Company outings and volunteer opportunities.
• Collaborative work culture that values curiosity and initiative.

Equal Employment Opportunity

RevStar is an equal opportunity workplace. The company values and supports differences among employees, customers, and the wider community.

Reasonable Accommodations

RevStar is committed to providing equal opportunity and reasonable accommodations for individuals with disabilities across employment, services, programs, and activities. To request an accommodation, contact HR at hr@revstarconsulting.com.

E-Verify

RevStar participates in E-Verify to confirm the work authorization of newly hired U.S. employees. This process applies to direct W-2 hires and does not apply to independent contractor roles.