Senior Data Engineer
Job Summary
This is a remote position.
Senior Data Engineer
We are seeking an experienced Senior Data Engineer with strong expertise in enterprise data warehousing Azure Data Factory Databricks Snowflake and healthcare data integration. The ideal candidate will have extensive hands-on experience developing ETL pipelines designing data warehouse solutions processing structured and unstructured data and working with healthcare interoperability standards such as HL7 and FHIR.
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8 years of experience in Data Engineering with a strong focus on data warehousing.
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5 years of hands-on experience with Azure Data Factory (ADF) and Databricks.
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5 years of ETL experience using Informatica PowerCenter SSIS or Azure Data Factory.
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5 years of experience with Oracle Snowflake or SQL Server.
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5 years of experience developing stored procedures using PL/SQL T-SQL or Snowflake SQL.
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3 years of Python programming experience.
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3 years of experience with Azure DevOps GitHub or SVN.
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2 years of experience working with structured and unstructured data.
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Hands-on experience processing HL7 and FHIR files.
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3 years of experience preparing ETL specifications based on business and technical requirements.
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3 years of experience with batch scripting or PowerShell.
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3 years of experience in data warehouse modeling.
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Bachelors degree in Computer Science Information Technology Engineering or a related field.
Required Skills:
Senior Data Engineer Location: Eden Prairie MN (100% Remote) Employment Type: W2 Contract Interview Process: Video Interview Max Rate:$27/hr W2 Job Overview We are seeking an experienced Senior Data Engineer with strong expertise in enterprise data warehousing Azure Data Factory Databricks Snowflake and healthcare data integration. The ideal candidate will have extensive hands-on experience developing ETL pipelines designing data warehouse solutions processing structured and unstructured data and working with healthcare interoperability standards such as HL7 and FHIR. Required Qualifications 8 years of experience in Data Engineering with a strong focus on data warehousing. 5 years of hands-on experience with Azure Data Factory (ADF) and Databricks. 5 years of ETL experience using Informatica PowerCenter SSIS or Azure Data Factory. 5 years of experience with Oracle Snowflake or SQL Server. 5 years of experience developing stored procedures using PL/SQL T-SQL or Snowflake SQL. 3 years of Python programming experience. 3 years of experience with Azure DevOps GitHub or SVN. 2 years of experience working with structured and unstructured data. Hands-on experience processing HL7 and FHIR files. 3 years of experience preparing ETL specifications based on business and technical requirements. 3 years of experience with batch scripting or PowerShell. 3 years of experience in data warehouse modeling. Bachelors degree in Computer Science Information Technology Engineering or a related field.