Senior Data Engineer

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

Exceptional care starts with exceptional people.
For us, this is more than a job– it’s a calling. It’s waking up each day, looking for ways to make a difference with a compassionate, inclusive and talented team. Ochsner empowers you to discover your passion, reach your potential, and Pursue Your Purpose. Exceptional care starts with exceptional people and teams. Together we are leading the way.
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 efficiency.
• Ensures data quality, integrity, security, and compliance; proactively monitors and remediates risks.
• Collaborates with stakeholders, mentors junior engineers, and drives continuous improvement through code reviews and solution evaluation.
• Performs other duties as assigned
• Complies with all policies and standards
  

The above statements describe the general nature and level of work only. They are not an exhaustive list of all required responsibilities, duties, and skills. Other duties may be added, or this description amended at any time.
Remains knowledgeable on current federal, state and local laws, accreditation standards or regulatory agency requirements that apply to the assigned area of responsibility and ensures compliance with all such laws, regulations and standards.
This employer maintains and complies with its Compliance & Privacy Program and Standards of Conduct, including the immediate reporting of any known or suspected unethical or questionable behaviors or conduct; patient/employee safety, patient privacy, and/or other compliance-related concerns. The employer is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
Physical and Environmental Demands
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Sedentary Work- Exerting up to 10 pounds of force occasionally (occasionally means activity or conditions exist up to 1/3 of the work day), and/or, a negligible amount of force frequently (frequently means activity or condition exists from 1/3 to 2/3 of the work day) to lift, carry, push, pull, or otherwise move objects, including the human body. Sedentary work involves sitting most of the time but may involve walking or standing for brief periods of time. Jobs are sedentary if walking and standing are required only occasionally and all other sedentary criteria are met.
Normal routine involves no exposure to blood, body fluid or tissue and as part of their employment, incumbents are not called upon to perform or assist in emergency care or first aid.
The incumbent has no occupational risk for exposure to communicable diseases .
Because the incumbent works within a healthcare setting, there may be occupational risk for exposure to hazardous medications or hazardous waste within the environment through receipt, transport, storage, preparation, dispensing, administration, cleaning and/or disposal of contaminated waste. The risk level of exposure may increase depending on the essential job duties of the role.
Ochsner Health does not consider an individual an applicant until they have formally applied to the open position on this careers website.
Please refer to the job description to determine whether the position you are interested in is remote or on-site.Individuals who reside in and will work from the following areas are not eligible for remote work position: Colorado, California, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington, and Washington D.C.
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