Hybrid - Data Engineer - Only w2 at GeopaqLogic Inc
Santa Clara, CA 95051, USA -
Full Time


Start Date

Immediate

Expiry Date

01 Nov, 25

Salary

55.0

Posted On

01 Aug, 25

Experience

1 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Java, Data Solutions, Cerner, Integration, Programming Languages, Sql, Epic, Data Processing, Data Standards, Health Insurance, Python, Databases, W2

Industry

Information Technology/IT

Description

REQUIREMENTS:

  • Shown experience as a Data Engineer with a focus on EMR/PACS systems.
  • Deep understanding of healthcare data standards (HL7, FHIR, DICOM) and medical imaging formats.
  • Proficiency in programming languages used in healthcare IT, such as Python, Java, or SQL.
  • Strong knowledge of databases and data modeling techniques, particularly in a healthcare setting.
  • Experience with ETL processes and tools, ensuring efficient data processing and integration.
  • Outstanding problem-solving skills and the ability to work collaboratively with multi-functional teams.
  • A proactive, high-reaching approach with a consistent record of efficiently implementing data solutions in healthcare environments.
    Job Type: Contract
    Pay: $50.00 - $55.00 per hour

Benefits:

  • Health insurance
  • Paid time off

Application Question(s):

  • Before You apply : Need local to Santa Clara, CA - IT is a Hybrid- Only US Citizen, GG, EAD, OPT, TN Only who can work on W2

Experience:

  • EMR systems: 1 year (Preferred)
  • EMR/PACS: 1 year (Preferred)
  • Data Engineer : 10 years (Required)
  • Epic and Cerner: 1 year (Preferred)

Ability to Commute:

  • Santa Clara, CA 95051 (Required)

Work Location: In perso

Responsibilities
  • Extract, transform, and load (ETL) clinical data from various EMR systems (such as Epic and Cerner) and hospital PACS.
  • Develop and maintain data pipelines for handling healthcare data, closely adhering to healthcare data standards like HL7, FHIR, and DICOM.
  • Collaborate with clinical staff, IT teams, and system vendors to ensure flawless data integration and optimize data flows.
  • Build and implement data models to represent complex medical information, ensuring data integrity and reliability.
  • Perform data analysis to identify and solve data quality issues, improving overall system accuracy.
  • Develop automated solutions for data extraction and transformation, using your strong programming skills.
  • Ensure compliance with healthcare interoperability standards, supplying to the development of scalable and secure data solutions.
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