Dbt Developer Jobs in Miami, FL (NOW HIRING)

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We are currently looking for a Senior Data Engineer / AI Engineer to join an important company in the Healthcare industry in the United States.

This opportunity is ideal for a senior technical professional who combines strong Data Engineering expertise with AI/ML capabilities, and who is comfortable building scalable, secure, and reliable data platforms that support advanced analytics and AI-driven solutions.

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.

The role requires strong hands-on expertise across data architecture, pipelines, cloud platforms, data quality, governance, and AI-ready infrastructure.

• 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.

Experience in any of the following will be considered a strong advantage:

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

Knowledge of HIPAA, healthcare data privacy, security, and governance is especially valuable.

• Seniority: Senior
• Employment: Full-Time
• Location: United States
• Work Model: 100% Remote
• 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:

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.

If the company genuinely wants a hybrid Senior Data Engineer + AI profile, I would recommend:

with flexibility above that for candidates with advanced AI/LLM, MLOps, healthcare-data, and cloud architecture experience.

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.

• 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.

Senior Data Engineer + Cloud Architecture + AI/ML Exposure + Strong Software Engineering + Healthcare / Regulated Data

Skills needed: Python, Data

Job Category: Data Engineering

Job Type: Direct Hiring, Full Time, Remote

Location: United States