Negotiable
Outside
Remote
USA
Summary: The Data Engineer role requires a seasoned professional with over 8 years of experience in data engineering and analysis, specifically within the healthcare sector. The candidate should possess strong expertise in Azure technologies and SQL development, with a focus on HL7 and FHIR standards. This position is remote and emphasizes the design and implementation of ETL/ELT pipelines and data transformation processes. The role is classified as outside IR35, indicating a flexible working arrangement.
Key Responsibilities:
- Design and implement ETL/ELT pipelines using raw XML and JSON data.
- Integrate data across multiple parallel data sources.
- Create DDL scripts and database tables, implementing complex logic for data transformation.
- Conduct data validation, profiling, and Python scripting.
- Work with EMR systems, particularly EPIC, and ensure compliance with HL7 and FHIR standards.
- Handle diverse data formats and manage SQL development environments.
Key Skills:
- 8+ years of experience as a Data Engineer.
- Proven expertise in Azure Data Factory and related Azure technologies.
- Several years of experience as a SQL Developer.
- 5+ years of experience in healthcare data.
- Hands-on experience with EMR systems, especially EPIC.
- Proficient in creating DDL scripts and implementing complex data transformation logic.
- Skilled in data validation, profiling, and Python scripting.
- Experience with HL7 and FHIR standards.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Role Type: Data Engineer
Duration: 6 months
Telecommute: Yes
Description:
Required Qualifications
- 8+ years of experience as a Data Engineer with a strong foundation in data analysis and data engineering principles.
- Proven expertise in Azure Data Factory (ADF) and related Azure technologies.
- Several years of experience as a SQL Developer, transitioning into a Data Engineering role.
- 5+ years of experience in healthcare data, including quality assurance, and working with HL7 and FHIR standards.
- Hands-on experience with EMR systems, especially EPIC (preferred); HL7 and FHIR experience is required.
- Designed and implemented ETL/ELT pipelines using raw XML and JSON data, integrating across multiple parallel data sources.
- Proficient in creating DDL scripts, database tables, and implementing complex logic for data transformation.
- Skilled in data validation, profiling, and Python scripting, with familiarity in handling diverse data formats (e.g., date formats).
- Experience working in various SQL development environments, including handling data arrays and using LATERAL joins for data decompo