Negotiable
Outside
Remote
USA
Summary: The Healthcare Data Engineer role requires extensive experience in Teradata, SQL, and data management within Big Data environments. The position involves collaborating with cross-functional teams to design and optimize data workflows, ensuring data integrity and compliance with healthcare regulations. The engineer will also be responsible for analyzing large datasets and presenting findings to various stakeholders. This is a remote position with a focus on healthcare data management and ETL processes.
Key Responsibilities:
- Collaborate with cross-functional teams to gather and analyze data requirements.
- Design, develop, and optimize complex SQL queries and scripts for data extraction and reporting.
- Work extensively with Teradata for querying and performance tuning.
- Analyze large datasets in Big Data environments (e.g., Hadoop, Hive, Spark).
- Design and support ETL workflows, data pipelines, and processes to ensure data integrity and accuracy.
- Create and maintain data models and DWH structures to support reporting and analytics.
- Interpret and present data findings to technical and non-technical stakeholders.
- Work with Healthcare data (e.g., claims, eligibility, EMR, EHR) ensuring compliance with regulatory requirements like HIPAA.
- Perform data quality checks, validation, and profiling.
- Document technical processes, data flow diagrams, and lineage.
Key Skills:
- Teradata knowledge
- SQL proficiency
- Experience with DWH/ETL processes
- Data management skills
- Shell scripting
- Big Data technologies (e.g., Hadoop, Hive, Spark)
- Healthcare data experience
- Understanding of regulatory compliance (e.g., HIPAA)
- Data quality assurance
- Documentation skills
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Job description:
Job Responsibilities:
Teradata knowledge, SQL, DWH/ETL process, Data management & Shell Scripting
- Collaborate with cross-functional teams to gather and analyze data requirements.
- Design, develop, and optimize complex SQL queries and scripts for data extraction and reporting.
- Work extensively with Teradata for querying and performance tuning.
- Analyze large datasets in Big Data environments (e.g., Hadoop, Hive, Spark).
- Design and support ETL workflows, data pipelines, and processes to ensure data integrity and accuracy.
- Create and maintain data models and DWH structures to support reporting and analytics.
- Interpret and present data findings to technical and non-technical stakeholders.
- Work with Healthcare data (e.g., claims, eligibility, EMR, EHR) ensuring compliance with regulatory requirements like HIPAA.
- Perform data quality checks, validation, and profiling.
- Document technical processes, data flow diagrams, and lineage.