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# Senior Data Engineer for AI Platform (Remote)

- **Company:** EL PIKETON LLC
- **Location:** Miami, FL, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Clinical Data Repository, Code Review, Continuous Integration, Data Architecture, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), EHealth, Python (Programming Language), Machine Learning, NoSQL, Software Engineering, SQL Databases, Unstructured Data, Web Services, Privacy Controls, Large Language Models, Snowflake, Apache Spark, Generative AI, Agentic-AI, Build Management, AI Platforms, Apache Kafka, Data Management, Machine Learning Operations, Software Version Control, Data Pipelines, Automation Anywhere, Databricks
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25197_e34855c6f8947a0838bbdaaa5ff7b990

## About the Role

* 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.

## Description

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.