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Healthcare Data Engineer

Jobot

San Diego (CA)

Remote

USD 110,000 - 160,000

Full time

29 days ago

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Job summary

An established industry player in healthcare is seeking a skilled data integration specialist to enhance their data ingestion pipeline. This role offers a unique opportunity to work with a modern technical stack, including Azure and Python, while collaborating with a dynamic team. You'll be instrumental in transforming healthcare data into actionable insights, contributing to impactful projects that improve patient care. The company promotes a strong collaborative culture and provides excellent benefits, making it an ideal environment for those passionate about technology and healthcare. Join a forward-thinking team and make a real difference in the industry!

Benefits

Great work-life balance
Strong collaborative culture
Great benefits
Impactful projects

Qualifications

  • 3+ years experience with SSIS, Azure Data Factory, and Python.
  • Experience with healthcare claims and clinical data formats.

Responsibilities

  • Collaborate with a team to build new functionality for data ingestion pipeline.
  • Manage data integration and ensure data quality and accessibility.

Skills

Enterprise Data Integration Tools
Python
SQL
MySQL
HL7
Data Visualization

Education

Bachelor's degree in Computer Science
Bachelor's degree in Information Technology

Tools

SSIS
Azure Data Factory
Power BI
SSRS
Docker
Kubernetes
Jenkins
Github

Job description

3 days ago Be among the first 25 applicants

This range is provided by Jobot. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$110,000.00/yr - $160,000.00/yr

This company is a value based care provider that manages a number of data ingestion points for third party API integration. Great work life balance and remote work!

This Jobot Job is hosted by Alex Dickinson

Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.

Job Details

Salary $110,000 - $160,000 per year

A Bit About Us

This company provides services for acute care, palliative care, home care and additional healthcare services. This team is building out new functionality for their data ingestion pipeline. They currently are managed and hosted in an Azure instance and from a stack perspective are working in HL7, Azure Data Factory, Python and SSIS. This role will collaborate with a team of others!

Why join us?
  • Strong collaborative culture
  • Great benefits
  • Impactful projects that have a real difference making ability in the care of patients
  • Modern technical stack with forward thinking technical culture
Required Qualifications
  • Education Bachelor’s degree in computer science, Information Technology, or a related field.
  • 3+ years of experience using Enterprise Data Integration Tools such as SSIS, Azure Data Factory, and Python.
  • Experience with reading health care claims and clinical data in XML, HL7, JASON source format and converting them into relational database objects.
  • 3+ years of experience working directly in relational databases as well as working familiarity with SQL and MySQL, technologies, data structures, creating stored procedures, functions, views, and concept of version control.
  • Familiarity with visualization tools such as Power BI and SSRS.
Preferred Qualifications
  • Familiarity with CMS and Value Based Care programs such as MSSP and ACO REACH.
  • Knowledge of healthcare interoperability standards (e.g., HL7, FHIR).
  • Experience with DevOps practices and tools (e.g., Docker, Kubernetes, Jenkins, Github).
  • Familiarity with Agile development methodologies.
  • 3+ years of Experience with HL7 Message Parsing

Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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