Senior Data Engineer

We've made a lot of progress since opening the doors in 1942, but one thing has never changed - our commitment to serve, heal, lead, educate, and innovate.  We believe that every award earned, every record broken and every patient helped is because of the dedicated employees who fill our hallways. 

At Ochsner, whether you work with patients every day or support those who do, you are making a difference and that matters.  Come make a difference at Ochsner Health and discover your future today! 

The Senior Data Engineer is responsible for designing, developing, implementing, and optimizing enterprise‑grade solutions and architectures, while ensuring scalability, performance, security, and cost-efficiency. This role applies advanced engineering principles to create scalable, reliable, and secure data pipelines and models that support analytics, reporting, AI, machine learning, and operational applications. This position will be responsible for supporting data architecture, assure data quality/integrity and implementing the data requirements, ETL design, development, implementation, and operations/maintenance. The Senior Data Engineer works independently, collaborates across teams, and influences solution direction by applying deep technical expertise and strong problem‑solving skills. This role requires strong experience in data engineering, cloud technologies, and collaboration across technical and business stakeholders, with preferred skills in DevOps, infrastructure-as-code, and observability tools.

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential duties.

This job description is a summary of the primary duties and responsibilities of the job and position. It is not intended to be a comprehensive or all-inclusive listing of duties and responsibilities. Contents are subject to change at the company’s discretion.

Education

• Required - Bachelor's Computer Science, Engineering, or related field.

Work Experience

• Required - 9 years Experience implementing data quality checks, security, and governance standards. Strong Health System domain knowledge with experience in exploratory data analysis
• Preferred - 10+ years Experience with multiple Cloud Platforms (Azure, AWS, GCP) and related services
  Experience working in an agile/scrum environment.

Knowledge Skills and Abilities (KSAs)

• Excellent analytical and problem-solving skills.
• Strong communication and ability to convey complex concepts simply.
• Ability to work independently and also work collaboratively in a team environment.
• Ability to mentor and support peers on technical topics.
• Strong knowledge of Epic Clarity/Caboodle data models.
• Hands-on data acquisition/integration experience designing, building, implementing and optimizing cloud data warehouse solutions.
• Strong experience in data engineering tools such as DBT and Azure Data Factory on Snowflake/Azure and orchestration tools like Airflow.
• Proficiency in programming languages such as Python or Scala, SQL, data modeling, ETL/ELT development, orchestration frameworks, and cloud platforms and related services (Data Lake Storage, Secrets management, Authentication methods).
• Proven Experience in designing complex data models to connect data across multiple domains.
• Strong understanding of DevOps practices, CI/CD, version control, and automation frameworks.

Job Duties

• Designs, builds, and optimizes scalable data pipelines for structured and unstructured data ingestion.
• Develops and maintains monitoring, automation, and performance tuning processes to ensure data reliability.
• Applies best practices in data modeling, ETL/ELT, and transformation to deliver secure, high-performance solutions.
• Designs and standardizes cross-domain data models to enable consistent, enterprise-wide analytics.
• Translates business requirements into scalable, secure, and value-driven technical solutions.
• Selects and implements appropriate technologies across databases, streaming, orchestration, and cloud platforms.
• Identifies and recommends opportunities to leverage AI/ML to advance data solutions.       
• Contributes to CI/CD pipelines and drives automation to improve operational efficie