Data & Integration Engineer

Robert Half
Mankato, MN, United States
5 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours
Job source

Tech stack

Microsoft Azure Big Data Business Software Business Systems Cloud Database Information Systems Databases Information Engineering Data Infrastructure Data Integration Extract Transform Load (ETL) IBM DB2
+21 more
Relational Databases Database Development IBM InfoSphere DataStage Electronic Data Interchange (EDI) Interoperability Python (Programming Language) PostgreSQL Microsoft SQL Server MySQL Oracle (Applications) Windows PowerShell Azure Data Lake Systems Integration Data Processing Scripting Azure Data Factory Electronic Medical Records Information Technology Health Level Seven International Azure Synapse Analytics Databricks

Job description

  • Develop and support scalable data workflows that collect, transform, and distribute information across enterprise systems.
  • Build and manage integrations between clinical, operational, and business applications to enable consistent data exchange.
  • Monitor data processing and interface performance, troubleshoot failures, and improve overall reliability of connected systems.
  • Establish and maintain controls that strengthen data accuracy, completeness, and consistency throughout the data lifecycle.
  • Create and enhance data infrastructure using modern cloud and database technologies to support reporting, analytics, and operational needs.
  • Partner with technical and business teams to understand integration requirements and translate them into effective engineering solutions.
  • Implement solutions that align with healthcare data regulations and interoperability expectations across connected platforms.

Requirements

  • Support interfaces and data connections involving electronic health record and practice management systems, including related downstream applications.* Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent hands-on experience.
  • At least 5 years of experience in data engineering, enterprise integrations, or large-scale data platform development.
  • Minimum of 2 years of experience working with healthcare technology, clinical applications, or healthcare business systems.
  • Strong proficiency with SQL development, database programming, and relational database platforms such as Microsoft SQL Server, MySQL, Oracle, DB2, or PostgreSQL.
  • Experience with ETL and cloud data technologies such as Azure Data Factory, Azure Databricks, Synapse, Azure Data Lake, DataStage, or similar tools.
  • Working knowledge of Python, PowerShell, or comparable scripting languages used for automation and data processing.
  • Familiarity with healthcare interoperability concepts and standards, including HL7 and electronic medical record or electronic health record environments.
  • Microsoft Azure Data Engineer Associate certification or experience with comparable cloud data engineering platforms is preferred.

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