Data Engineer

Senior Data Engineer

Location/ Work Structure:

Hybrid – Princeton, NJ or New York City

Compensation: Salary or Hourly

$140K–$180K Base Salary + 12% Annual Bonus

Who we are:

Vernovis is a Total Talent Solutions company that specializes in Technology, Cybersecurity, and Finance & Accounting functions. At Vernovis, we help professionals achieve their career goals by connecting them with innovative projects and dynamic direct hire opportunities throughout Ohio and across the Midwest.

What You'll Do:

• Design, build, and optimize Databricks ETL/ELT pipelines supporting enterprise AI/ML initiatives
• Develop scalable feature engineering frameworks and reusable feature stores for machine learning applications
• Collaborate with Data Scientists, ML Engineers, and Software Developers to deliver production-grade AI solutions
• Build and support GenAI and RAG-based systems including embeddings, vector search, and model orchestration
• Implement CI/CD pipelines, testing frameworks, monitoring, and observability for data and ML workflows
• Develop APIs and scalable inference endpoints for machine learning models and AI services
• Optimize Databricks clusters, Spark workloads, and Azure infrastructure for performance and cost efficiency
• Contribute to AI platform architecture, governance, security, and enterprise scalability initiatives

What Experience You'll Have:

• Strong hands-on experience with Python, Databricks, Spark, and enterprise Data Engineering
• Experience building and supporting AI/ML platforms, including GenAI or RAG-based solutions
• Expertise with Azure cloud services including Azure Databricks, Azure AI Search, APIM, and Entra
• Experience with ML/AI frameworks such as MLFlow, TensorFlow, PyTorch, Scikit-Learn, dbt, or dvc
• Strong understanding of DevOps practices, CI/CD pipelines, APIs, microservices, and production observability

What Experience is Nice to Have:

• Experience with multi-model orchestration across providers such as OpenAI or Anthropic
• Knowledge of Databricks medallion architecture, Unity Catalog, and workspace management
• Advanced degree in Computer Science, Engineering, Mathematics, or related technical field

Key Requirements to Prioritize as an AA:

• Strong Databricks + Azure Data Engineering background
• Hands-on Machine Learning and GenAI platform experience
• Experience building or supporting RAG systems and LLM orchestration
• Production-level AI/ML deployment and observability experience
• Strong software engineering mindset with CI/CD and API development experience
• Candidates local to or willing to work hybrid in Princeton, NJ or New York City

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