Key skills
PythonSQLMachine Learningscikit-learnPandasNumPyETLData WarehousingAnalyticsBITableauPower BISnowflakeRedshiftSparkAirflowAWSAzureGCPPostgreSQL
About this role
Impelsys is a company seeking a Data Engineer to work on healthcare data solutions. The role involves building data pipelines, ETL processes, and ensuring compliance with healthcare standards and data security.
Responsibilities:
- Strong experience in Python, SQL, and data processing frameworks (Spark, Airflow, etc.)
- Hands-on experience building data pipelines and ETL processes
- Experience with healthcare claims data and analytics (mandatory)
- Knowledge of data warehousing (Snowflake, Redshift, PostgreSQL)
- Experience with cloud platforms (AWS, Azure, or GCP)
- Familiarity with machine learning libraries (Pandas, NumPy, Scikit-learn)
- Experience with data visualization tools (Tableau, Power BI)
- Healthcare Domain Expertise (Required)
- Strong understanding of HL7, FHIR, CDA, and healthcare interoperability standards
- Experience working with EHR/EMR systems and healthcare data exchange
- Knowledge of HIPAA compliance and healthcare data security
- Ability to design secure and scalable healthcare data solutions
Requirements:
- Strong experience in Python, SQL, and data processing frameworks (Spark, Airflow, etc.)
- Hands-on experience building data pipelines and ETL processes
- Experience with healthcare claims data and analytics (mandatory)
- Knowledge of data warehousing (Snowflake, Redshift, PostgreSQL)
- Experience with cloud platforms (AWS, Azure, or GCP)
- Familiarity with machine learning libraries (Pandas, NumPy, Scikit-learn)
- Experience with data visualization tools (Tableau, Power BI)
- Healthcare Domain Expertise (Required)
- Strong understanding of HL7, FHIR, CDA, and healthcare interoperability standards
- Experience working with EHR/EMR systems and healthcare data exchange
- Knowledge of HIPAA compliance and healthcare data security
- Ability to design secure and scalable healthcare data solutions