Data & AI Engineer - WFH

# Data & AI Engineer – Databricks Specialist ## About the Role RevStar is seeking a Data & AI Engineer – Databricks Specialist to build greenfield Lakehouse solutions and production-ready AI and data platforms. As an official Databricks Partner, RevStar is launching a dedicated, cloud-agnostic Data, ML, and AI practice focused on delivering scalable enterprise solutions. In this role, you will work directly with data architects, data scientists, ML engineers, and client technology leaders to design modern Lakehouse architectures, build production data pipelines, operationalize AI models, and translate complex data requirements into business outcomes. The role combines hands-on engineering, performance optimization, MLOps, data governance, and client collaboration. ## Key Responsibilities ### Databricks Lakehouse & Data Engineering Design, build, and optimize scalable ETL/ELT data pipelines using Apache Spark and Delta Lake. Develop Lakehouse architectures across AWS, Azure, and GCP environments. Build solutions that process structured and unstructured data at enterprise scale. Automate data ingestion, storage, and feature engineering workflows. Develop data infrastructure that supports analytics and real-time AI workloads. Implement scalable and production-ready data engineering solutions. ### Performance Engineering & MLOps 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. Build and maintain CI/CD pipelines for automated production deployments. Implement Infrastructure-as-Code using Terraform and/or Databricks CLI. Support production-grade deployment and operationalization of AI and data solutions. ### Data Governance & Client Leadership Implement enterprise data security, access controls, and compliance requirements. Apply governance practices using Unity Catalog and cloud ecosystems. Support compliance requirements including GDPR, HIPAA, and SOC 2. Collaborate directly with client technology leaders, product managers, and engineering teams. Translate complex AI and data requirements into clear business outcomes. Create clear technical documentation for implemented solutions. Lead solution handoffs to client engineering teams upon project completion. ## Required Qualifications 3+ years of experience in cloud-native data engineering. 2+ years of dedicated, hands-on experience with Databricks, Apache Spark, Delta Lake, and MLflow. Strong proficiency in: Python SQL Apache Spark CI/CD Infrastructure-as-Code Experience with Terraform or Databricks CLI. Experience working in fast-paced Agile/DevOps consulting environments. Experience delivering cloud-agnostic architectures. Strong client communication and collaboration skills. ## Preferred Qualifications Active Databricks Certified Data Engineer Associate or Professional certification. Databricks ML Professional certification. Databricks certification is strongly preferred and may distinguish candidates during the application process. ## Skills & Technologies Databricks Apache Spark Delta Lake MLflow Python SQL ETL/ELT Lakehouse architecture Data pipelines Data ingestion Feature engineering MLOps CI/CD Terraform Databricks CLI Infrastructure-as-Code Unity Catalog Data governance Data security AWS Azure GCP Agile DevOps Cloud-agnostic architecture ## Work Arrangement & Employment Role: Data & AI Engineer – Databricks Specialist Location: Remote, United States Preferred Time Zones: Eastern or Central Time Zone Employment Type: Full-Time W2 Work Environment: Remote-first ## Compensation & Benefits Paid time off Medical, dental, and vision coverage 401(k) retirement plan Annual learning and development stipend for conferences, certifications, and courses Peer mentorship and coaching Professional growth opportunities Exposure to AWS GenAI, data, and cloud technologies across diverse industries Company outings and volunteer opportunities

• Collaborative and innovative work environment

## About RevStar RevStar is an innovation-focused company and official Databricks Partner building a dedicated, cloud-agnostic Data, ML, and AI practice. The team focuses on modern Lakehouse architectures and production AI solutions for enterprise clients. RevStar's working principles include Self-Mastery, Ownership, and Shared Destiny, with an emphasis on engineering impact, continuous improvement, accountability, collaboration, and client outcomes. ## Equal Opportunity & Reasonable Accommodations RevStar is an equal opportunity workplace that values and supports differences among employees, customers, and community members. RevStar is committed to providing access, equal opportunity, and reasonable accommodations for individuals with disabilities in employment, services, programs, and activities. Accommodation requests can be directed to HR at [[email protected]](mailto:[email protected]).