IS Data Engineer

Ochsner HealthNew Orleans, LA
Onsite

About The Position

This job designs, builds, and maintains data sources and pipelines for consumption by various analytical and business units. Collects, manages, and converts raw data into usable data sets accessible by developers and analysts. Automates, documents, and improves existing manual processes. 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.

Requirements

  • Bachelor’s degree in computer science, management information systems (MIS), business, or related field.
  • 5 years of professional experience in a data engineering or equivalent role.
  • 3 years of experience using SQL in daily activities.
  • 3 of experience working with various relational databases.
  • 1 year of experience using a BI tool (Tableau, PowerBI, etc).
  • Ability to develop, deploy, and maintain batch scripts and processes.
  • Ability to transform raw data into usable, accurate and scalable data sets.
  • Ability to see improvement opportunities and act on them.
  • Knowledge of business intelligence concepts and ability to collaborate with end users to define data requirements.
  • Advanced SQL skills and ability to quickly learn other scripting languages depending on team’s needs.
  • Knowledge of existing and emerging hardware and software technologies and an aptitude for learning new technical skills quickly.
  • Ability to work independently and proactively in a fast-paced, dynamic environment while delivering outstanding customer-focused solutions.
  • Ability to think outside the box when designing new approaches and solutions.
  • Effective verbal and written communication skills and ability to present information clearly and professionally.
  • Excellent problem-solving, organization, prioritization, and time management skills.
  • Ability to effectively manage multiple demands in a rapidly changing, team-based environment.

Nice To Haves

  • 1 year of experience with dimensional modeling and ETL processes and tools.
  • 1 year of experience with other programming language(s) (Python, Java etc).
  • Knowledge of dimensional modeling, ETL processes, and tools.

Responsibilities

  • Works with analytical departments to understand their priorities and develop data solutions to assist with their objectives.
  • Provides expertise in all facets of logical modeling and presentation solutions including prototyping and proof of concept, using best practices within the business intelligence and data management environments.
  • Maintains and develops documentation to identify and define processes or procedures.
  • Manages data by following best practices.
  • Supports and monitors business intelligence systems and processes.
  • May assist with administering business intelligence server(s) and/or processes.
  • Serves as a technical resource and support to multiple teams.
  • Performs other related duties as assigned.
  • 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.

Benefits

  • Equal Opportunity Employer.
  • Consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
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