Senior Data Engineer — Cloud Pipelines & AI Solutions

Ochsner Health; New Orleans (LA); In loco; USD 120.000 - 180.000; Tempo pieno

Descrizione del lavoro

Ochsner Health seeks a Senior Data Engineer to design, build, and optimize enterprise-grade data pipelines and models supporting analytics, reporting, AI, and operational applications. You will ensure data quality, security, and scalable performance across cloud platforms and DevOps practices.

Ideal candidates bring 9+ years in data engineering, strong Python/SQL skills, and experience with DBT, Airflow, Snowflake, and Azure Data Factory within a healthcare context.

Competenze

• 9 years of experience implementing data quality checks, security, and governance standards.
• Strong Health System domain knowledge with exploratory data analysis.
• Experience with multiple Cloud Platforms (Azure, AWS, GCP) and agile/scrum environments.

Mansioni

• Designs, builds, and optimizes scalable data pipelines for structured and unstructured data ingestion.
• Develops monitoring, automation, and performance tuning to ensure data reliability.
• Applies best practices in data modeling, ETL/ELT, and transformation for secure, high-performance solutions.
• Designs standardized cross-domain data models for enterprise analytics.
• Translates business requirements into scalable, secure technical solutions.
• Selects technologies across databases, streaming, orchestration, and cloud platforms.
• Identifies opportunities to leverage AI/ML to advance data solutions.
• Contributes to CI/CD pipelines and drives automation for operational efficiency.
• Ensures data quality, integrity, security, and regulatory compliance.
• Mentors junior engineers and conducts code reviews.

Conoscenze

Analytical skills

Communication

Independent worker

Mentoring

Epic Clarity/Caboodle

Data modeling

Python/Scala

SQL

ETL/ELT

DevOps/CI/CD

Airflow

Formazione

Bachelor's in Computer Science/Engineering

Related field

Strumenti

DBT

Azure Data Factory

Airflow

Snowflake

Data Lake Storage

Descrizione del lavoro

Ochsner Health seeks a Senior Data Engineer to design, build, and optimize enterprise-grade data pipelines and models supporting analytics, reporting, AI, and operational applications. You will ensure data quality, security, and scalable performance across cloud platforms and DevOps practices.

Ideal candidates bring 9+ years in data engineering, strong Python/SQL skills, and experience with DBT, Airflow, Snowflake, and Azure Data Factory within a healthcare context.