Senior Data Engineer for AI Platform (Remote)

You will be responsible for designing, building, and optimizing modern data infrastructure while collaborating closely with Engineering, Product, Analytics, AI/ML, Security, and business teams., * Design and build scalable data pipelines and data platforms.

• Develop and optimize ETL / ELT processes.
• Build data infrastructure to support analytics, Machine Learning, and Generative AI use cases.
• Integrate structured and unstructured data from multiple sources.
• Design and maintain data lakes, warehouses, and lakehouse architectures.
• Improve data quality, reliability, observability, and governance.
• Develop APIs and services for data consumption where required.
• Optimize large-scale data processing and performance.
• Partner with AI/ML teams to operationalize models and AI applications.
• Support MLOps and production AI workflows.
• Ensure appropriate security and privacy controls for sensitive healthcare data.
• Participate in architecture decisions and technology modernization initiatives.
• Mentor other engineers and promote engineering best practices.

• 7+ years of experience in Data Engineering, Software Engineering, or related technical roles.
• Strong hands-on experience with Python and SQL.
• Advanced knowledge of ETL / ELT architectures.
• Strong experience with at least one major cloud provider:
• AWS
• Azure
• GCP
• Experience with technologies such as:
• Snowflake
• Databricks
• Spark
• Airflow
• Kafka
• dbt
• cloud-native data services
• Strong understanding of relational and NoSQL databases.
• Experience with data modeling and data architecture.
• Experience building production-grade APIs and integrations is highly valued.
• Strong software engineering practices, including testing, version control, CI/CD, and code review.

We are particularly interested in candidates who also bring experience in:

• MLOps
• LLM applications
• Generative AI
• Embeddings
• Model deployment and monitoring
• AI agents or AI-enabled applications
• Responsible AI and AI governance

Strong Data Engineering experience is essential; AI expertise can range from solid practical exposure to advanced specialization depending on the candidate., * HealthTech

• Digital Health
• Clinical data
• EHR / EMR
• HIPAA-regulated environments

Knowledge of HIPAA, healthcare data privacy, security, and governance is especially valuable., * Miami / South Florida: Preferred but not required

• Availability: Immediate or short-term availability preferred
• Work Authorization: Must be authorized to work in the U.S.

For a strong Senior Data Engineer in the current U.S. market, a competitive base salary generally falls around:

USD 140,000-180,000 base

Recent Miami and healthcare-market references show Senior Data Engineer compensation ranging approximately from $135K-$185K, with more experienced profiles moving toward the upper end. A recent remote Miami opening, for example, advertised $150K-$180K, while a Healthcare AI Data Engineering role at MD Anderson publishes a range of $123K-$185K.

For candidates who combine strong Data Engineering capabilities with production-level AI / ML / LLM expertise, the market can move substantially higher.

A competitive U.S. range can be closer to:

USD 180,000-220,000+ base

depending on depth of AI expertise, healthcare knowledge, and production experience. Current healthcare AI positions show ranges around $200K-$220K, with some specialized Applied AI positions reaching $250K., A competitive U.S. package for this type of senior role would typically include:

• Medical insurance
• Vision insurance
• 401(k) with company match
• 20+ days PTO or Flexible PTO
• Paid sick leave
• Life insurance
• Short- and long-term disability insurance
• Remote-work flexibility
• Home-office / technology allowance
• Professional development and certification budget
• Parental leave
• Wellness benefits
• Annual performance bonus
• Potential equity or long-term incentives depending on company structure

Healthcare employers currently advertising similar senior data roles commonly include medical, dental, vision, PTO and 401(k) matching as part of their package.

Why Join

• Work at the intersection of Healthcare, Data, and Artificial Intelligence.
• Build data infrastructure that supports meaningful AI and analytics initiatives.
• Influence technical architecture and platform evolution.
• Work with modern cloud and AI technologies.
• Join a senior-level role with significant technical ownership.
• Work in a flexible, remote U.S. environment.
• Contribute to technology that can directly improve healthcare operations and outcomes.