Data & AI Engineer

About the Company

RevStar is an innovation-focused company and an official Databricks Partner building a dedicated practice in Data, Machine Learning, and Artificial Intelligence. The company develops modern Lakehouse architectures and production-ready AI solutions, helping clients turn complex data and technical concepts into scalable enterprise applications.

RevStar emphasizes three core principles: Self-Mastery, through continuous improvement and strong communication; Ownership, by taking responsibility for outcomes; and Shared Destiny, through teamwork and collective success.

About the Role

RevStar is seeking a Data & AI Engineer to design and deliver scalable Lakehouse solutions, data pipelines, and production-ready AI systems. Reporting to the Product Manager or Engineering Lead, you will work directly with data architects, data scientists, and client leaders to translate complex data requirements into practical enterprise solutions.

This role focuses on Databricks, Apache Spark, Delta Lake, cloud-native engineering, and MLOps across AWS, Azure, and Google Cloud Platform (GCP). You will contribute to greenfield projects and help deliver production solutions in fast-paced execution environments.

Key Responsibilities

• Design, build, and optimize scalable ETL/ELT pipelines using Apache Spark and Delta Lake across AWS, Azure, and GCP environments.
• Develop Lakehouse architectures capable of processing structured and unstructured data at enterprise scale.
• Automate data ingestion, storage, and feature engineering workflows to support analytics and real-time AI workloads.
• Optimize Spark jobs for low latency, high throughput, and cloud cost efficiency across client environments.
• Collaborate with machine learning 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 solutions using Terraform and Databricks CLI.
• Establish automated, production-grade deployment workflows.
• 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 complex AI data requirements into clear business outcomes.
• Prepare technical documentation and coordinate smooth solution handoffs to client engineering teams upon project completion.

Required Qualifications

• At least 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 practices and Infrastructure-as-Code tools such as Terraform or Databricks CLI.
• Proven experience working in fast-paced Agile or DevOps consulting environments.
• Ability to deliver cloud-agnostic architectures.
• Strong client communication and collaboration skills.

Preferred Qualifications

• Active Databricks Certified Data Engineer Associate or Professional certification.
• Databricks Machine Learning Professional certification.

Work Arrangement

• Remote position.
• Available to candidates located 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

• 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 Generative AI, data, and cloud technologies across different industries.
• Company outings and volunteer opportunities.
• Collaborative and innovative work culture that encourages curiosity and initiative.

Equal Opportunity Employment

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

Reasonable Accommodations

RevStar is committed to providing equal access, opportunities, 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 all newly hired U.S. employees. This process applies only to direct W-2 hires and does not apply to independent contractor roles.