Senior Data Engineer for AI Platform (Remote)

At 5411 Hub , we specialize in Headhunting, Executive Search, and Recruiting across the U.S. and LATAM , connecting companies with high-impact talent for technology, data, AI, commercial, strategic, and leadership roles. 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. The Role 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 . Key Responsibilities 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. What We’re Looking For 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. Healthcare Experience — Highly Valued 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. Employment Conditions 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. Compensation — U.S. Market Reference 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. Recommended range for this search 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. 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. Ideal Profile 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 Apply for this position Contact Information Where do you live? How’s your English? How many years of working related experience do you have? Tell us about your main skills (add as many lines as needed) What's your hiring preference? Full-time Part-time Upload your resume * Drag & drop your resume or browse REACH USTO TRANSFORM YOURAND DRIVE GROWTH USA 66 W Flagler St. 9th Floor Miami, Florida (FL33130) View email address on click.appcast.io View phone number on click.appcast.io

MEXICO ARGENTINA

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