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AI Engineer & Data

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Hiring from
United States
Work type
Remote
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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 team develops modern Lakehouse architectures and production-ready AI solutions for enterprise clients, working in fast-paced execution cycles with a focus on practical engineering outcomes.


About the Role


RevStar is seeking a Data & AI Engineer to design and deliver scalable data engineering and AI solutions using Databricks and cloud-native technologies. Reporting to the Product Manager/Engineering Lead, you will work closely with data architects, data scientists, and client leaders to turn complex data requirements into production-ready systems.


This role focuses on Lakehouse architecture, data pipeline development, performance optimization, MLOps integration, and enterprise data governance across AWS, Azure, and Google Cloud environments.


Key Responsibilities


  • Design, build, and optimize scalable ETL/ELT pipelines using Apache Spark and Delta Lake across multi-cloud environments, including AWS, Azure, and GCP.
  • Develop 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 across client environments.
  • Work 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 practices using Terraform and Databricks CLI to support automated, production-grade deployments.
  • Enforce enterprise data security, access controls, and compliance standards, including GDPR, HIPAA, and SOC 2, within Unity Catalog and cloud environments.
  • Collaborate with client technology leaders, product managers, and engineering teams to translate AI data requirements into business outcomes.
  • Prepare technical documentation and manage solution handoffs to client engineering teams at 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 and Infrastructure-as-Code, including Terraform or Databricks CLI.
  • Experience working in fast-paced Agile/DevOps consulting environments.
  • Ability to deliver cloud-agnostic architectures and communicate effectively with clients.


Preferred Qualifications


  • An active Databricks Certified Data Engineer Associate or Professional certification, or Databricks ML Professional certification. These certifications are strongly preferred and can help distinguish your application.


Employment Details

  • Position: Data & AI Engineer
  • Reports To: Product Manager/Engineering Lead
  • Employment Type: Full-Time W2
  • Work Arrangement: Remote
  • Eligible Work Locations: 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 and exposure to AWS GenAI, data, and cloud technologies across diverse industries.
  • Company outings and volunteer opportunities.
  • Collaborative and innovative work culture.


Core Values


RevStar's team operates around three principles:


  • Self-Mastery: Maintaining high standards in thinking, communication, and continuous improvement.
  • Ownership: Taking responsibility for outcomes, not just effort.
  • Shared Destiny: Working together and sharing responsibility for collective success.


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. To request an accommodation, contact HR.


E-Verify


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

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