Software Engineer, AI Data
Remote, United States
Key Responsibilities:
- Design, build, and maintain data pipelines and ETL processes.
- Develop and optimize databases and data warehouses.
- Implement data models and schemas to support analytics and reporting.
- Ensure data quality and integrity.
- Develop software applications that interact with data systems.
- Create APIs for data access and integration.
- Implement front-end solutions for data visualization and user interfaces.
Required Qualifications:
- Graduate degree in computer science or related areas
- 2 years of industry experiences
- Proficiency in programming language Python.
- Strong knowledge and experience of SQL and NoSQL databases.
- Experience with data processing frameworks (Apache Spark, Hadoop).
- Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
- Expertise in HTML, CSS, JavaScript, and front-end frameworks.
- Ability to analyze complex data sets and derive actionable insights.
- Strong communication and collaboration skills.
- Ability to work with cross-functional teams to understand data requirements and deliver solutions
Desired Qualifications:
- Familiarity with healthcare data management and regulations.
- Understanding of Health Insurance Portability and Accountability Act (HIPAA) compliance.
- Knowledge of Digital Imaging and Communications in Medicine (DICOM) standards.
- Experience with handling and processing medical imaging data.
This role is ideal for someone who enjoys working with both data and software, and wants to leverage their skills to build impactful applications. If you are passionate about data and software engineering, we would love to hear from you!
For U.S. based positions only, the pay range for this position is $136,000.00-$204,000.00 Annual. It is not typical for an individual to be hired at or near the top of the pay range and compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate may be influenced by a variety of factors including skills, qualifications, experience and location. In addition, this position may also be eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). GE HealthCare offers a competitive benefits package, including not but limited to medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, and tuition reimbursement.GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.
Relocation Assistance Provided: Yes
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Fully remote Remote U.S. based U.S. based positions only US Only
Benefits/Perks401(k) Plan Accident Insurance Cash bonuses Challenging careers Collaboration Competitive benefits Competitive benefits package Competitive compensation Dental Disability Insurance Equal opportunity employer Fully remote Great work environment Life, disability, and accident insurance Life Insurance Medical Medical, Dental, Vision Paid Time Off Professional development Support Tuition reimbursement Vision
Tasks- Analyze complex data
- Build data pipelines
- Collaborate with teams
- Collaboration
- Compliance
- Create APIs
- Design
- Design data models
- Develop data applications
- Development
- Ensure data quality
- Implement front-end interfaces
- Integration
- Optimize databases
- Reporting
AI Analytics Apache Spark APIs AWS Azure Collaboration Communication Communications Compliance Computer Computer Science Containerization CSS Data Databases Data integrity Data Management Data Modeling Data Pipelines Data processing Data Quality Data Visualization Data Warehouses DICOM DICOM standards Docker Engineering ETL Processes Front-end frameworks GCP Hadoop Healthcare HIPAA Compliance HTML Imaging Integration Integrity IT Javascript Kubernetes Management Medical Imaging Medical imaging data NoSQL Programming Python Quality Reimbursement Reporting Software Software Applications Software Development Software Engineering Spark SQL Teams
Experience2 years
EducationAS Communications Computer Science Degree Engineering Graduate Degree Graduate degree in computer science Healthcare IT Related areas Science Software Development
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9