About the Company

RevStar is an innovation-focused company and an official Databricks Partner building a dedicated, cloud-agnostic Data, Machine Learning, and AI practice. The company develops modern Lakehouse architectures and production-ready AI solutions for enterprise clients, working directly with founders and technology leaders. RevStar's culture is guided by three principles: Self-Mastery, Ownership, and Shared Destiny, emphasizing continuous improvement, accountability, and shared success.

About the Role

RevStar is seeking a Data & AI Engineer to build greenfield Lakehouse solutions and production-ready AI systems. Reporting to the Product Manager or Engineering Lead, this role involves designing scalable data pipelines, optimizing Databricks environments, integrating machine learning models, and implementing data governance practices. You will work closely with data architects, data scientists, client technology leaders, and engineering teams to turn complex data requirements into scalable enterprise solutions.

Key Responsibilities

Design, build, and optimize scalable ETL/ELT pipelines using Apache Spark and Delta Lake across AWS, Azure, and GCP environments. Implement Lakehouse architectures that process 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. Collaborate 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. Enforce enterprise data security, access controls, and compliance standards, including GDPR, HIPAA, and SOC 2, within Unity Catalog and cloud environments. Work with client technology leaders, product managers, and engineering teams to translate AI data requirements into business outcomes. Prepare clear technical documentation and lead 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. High 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/DevOps consulting environments. Ability to deliver cloud-agnostic architectures. Strong client communication skills.

Preferred Qualifications

Active Databricks Certified Data Engineer Associate or Professional certification. Databricks ML Professional certification. Employment Type & Work Location Full-time W-2 employment. Remote position available in Arizona, District of Columbia, Florida, Georgia, Iowa, Illinois, Maine, New York, New Jersey, South Carolina, Texas, and Virginia.

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 GenAI, data, and cloud technologies across diverse industries. Company outings and volunteer opportunities. Collaborative and innovative work culture. Equal Employment Opportunity RevStar is an equal opportunity workplace. The company celebrates and supports individual differences for the benefit of its employees, customers, and community. Reasonable Accommodations RevStar is committed to providing access, equal opportunity, and reasonable accommodations for individuals with disabilities in employment, services, programs, and activities. Applicants may contact HR to request a reasonable accommodation. E-Verify RevStar participates in E-Verify to confirm work authorization for all newly hired U.S. employees. This process applies strictly to direct W-2 hires and does not apply to independent contractor roles.