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Senior Director, Forward Deployed Engineer - Operational AI
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Quality Engineer Associate
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Establish and lead 3-Phase Quality Control Process conducting preparatory, initial and follow-up phase inspections.
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Telecommunications Engineer 4 - San Antonio, TX
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Added 12 mins ago
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Protection and Controls - Substations - Electrical Engineer - Remote (U.S.)
AECOM
Houston, TX
- $110,000 to $160,000 USD / year
AECOM has a position opening for a Protection and Controls Engineer to support our growing Energy Business Line’s Engineering Center of Excellence in our Grid Modernization programs,…
Added 17 mins ago
Senior Engineer - Firmware Engineer
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This position may require access to technology and/or software subject to U.S. export control laws and regulations, including the Export Administration Regulations (EAR). As such,…
Added 21 mins ago
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Platform Engineer (Snowflake)
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Added 36 mins ago
Staff/Principal AI Transformation Engineer
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Sr. Principal Project Engineer; Turbo Jet (Onsite)
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Senior Software Development Engineer, AWS EC2 Nitro Team
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Senior Controls Engineer
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Ochsner Clinic Foundation

Senior Data Engineer

New Orleans Region, LA, United States

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Job details

Experience: Required - 9 years Experience implementing data quality checks, security, and governance standards.
Posting language: English
Posted: Nov 2, 2026

Original job description

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.

Are you ready to make a difference? Apply Today!

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.

Ochsner Health endeavors to make our site accessible to all users. If you would like to contact us regarding the accessibility of our website, or if you need an accommodation to complete the application process, please contact our HR Employee Solution Center at 504-842-4748 (select option 1) or careers@ochsner.org. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.

Ochsner is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any legally protected class, including protected veterans and individuals with disabilities.

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More about this job

Skills

Data engineering
Problem solving
Cloud technologies
DevOps
Infrastructure as code
Computer science
Statistical quality control
Data analysis
Microsoft Azure
AWS
Google Cloud
Communication skills
Work independently
EPIC
Data models
Data warehouse
Microsoft Azure Data Factory
Snowflake
Apache Airflow
Programming languages
Python
Scala
SQL
Data modelling
CI/CD
Unstructured data
ML
Regulatory compliance
Process improvement
Emergency medicine
First Aid
Communicable diseases
Characteristics of waste
Cleaning

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