Remote Data Integration Engineer: SQL, Databricks & BI

Premier, Inc.

United States

Remote

USD 62,000 - 93,000

Full time

2 days ago
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Benefits offered by this job

Health insurance
Dental insurance
Vision insurance
Life insurance
401k retirement program
Paid time off
Tuition reimbursement and professional

Job summary

Premier, Inc. is seeking a Data Integration Engineer to join a remote role in the United States. The position emphasizes data integration across databases, XML, Databricks, and BI visualization with Tableau/Power BI.

Responsibilities include data validation, SQL/SSIS development, and XML data parsing, with collaboration on ERP-related data initiatives. The role requires strong analytical skills, ability to adapt to changing technologies, and experience with data automation and integration tools.

Qualifications

  • 2+ years of applicable data integration experience

Responsibilities

  • Assist lead data conversion specialists with validating data and consolidating feedback for customer communication
  • Develop XML code to parse data
  • Update and maintain standard library of SQL scripts
  • Document new processes and procedures
  • Investigate and troubleshoot basic data conversion problems during implementation
  • Support federated and non-federated SSO setup for ERP users
  • Capture meeting minutes and provide project updates to PM
  • Assist customer support with data problems and service requests
  • Develop basic SQL scripts and XML code as needed

Skills

MSSQL
XML
BigQuery
Power BI
Tableau
SSIS
Python
Databricks
Hadoop
Azure Synapse

Education

Bachelor's degree

Tools

Databricks
Google BigQuery
Azure SQL Data Warehouse
Snowflake
Redshift

Job description

Premier, Inc. is seeking a Data Integration Engineer to join a remote role in the United States. The position emphasizes data integration across databases, XML, Databricks, and BI visualization with Tableau/Power BI.

Responsibilities include data validation, SQL/SSIS development, and XML data parsing, with collaboration on ERP-related data initiatives. The role requires strong analytical skills, ability to adapt to changing technologies, and experience with data automation and integration tools.

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