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# Sr Data Analyst

- **Company:** Horizontal Talent
- **Location:** Eden Prairie, MN, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Microsoft Azure, Information Engineering, Extract Transform Load (ETL), Data Transformation, Data Systems, Data Warehousing, Relational Databases, Github, Microsoft SQL Server, Oracle (Applications), Oracle SQL Developer, Windows PowerShell, SQL Stored Procedures, SQL Server Integration Services, Subversion, Transact-SQL, Unstructured Data, Batch Scripting, Scripting, Azure Data Factory, Informatica Powercenter, Fast Healthcare Interoperability Resources, Snowflake, Apache Spark, Usage Tracking, Information Technology, Data Analytics, Health Level Seven International, Data Management, Api Design, Software Version Control, Data Pipelines, Databricks
- **Published:** November 11, 2026
- **Apply:** https://www.dice.com/job-detail/737aa7cc-efab-4da7-898c-8cd579893e45

## About the Role

* 8+ years of data engineering experience with a strong focus on data warehousing.
 * 5+ years of experience with Azure Data Factory and Databricks.
 * 5+ years of experience developing ETL solutions using Informatica PowerCenter, SSIS, Azure Data Factory, or similar tools.
 * 5+ years of experience working with relational databases such as Oracle, Snowflake, or SQL Server.
 * 5+ years of experience writing stored procedures in Oracle PL/SQL, SQL Server T-SQL, or Snowflake SQL.
 * 3+ years of experience with Python scripting.
 * 3+ years of experience using Azure DevOps, GitHub, SVN, or comparable source control tools.
 * 2+ years of experience working with structured and unstructured data.
 * Experience analyzing project requirements and creating detailed ETL specifications.
 * Strong problem-solving, troubleshooting, and analytical skills.
 * Bachelor's degree or advanced degree in Information Technology, Computer Science, Mathematics, Statistics, Analytics, Business, or a related field.

Preferred Skills

 * Experience with batch scripting or PowerShell.
 * Data modeling experience in a data warehouse environment.
 * Familiarity with Spark and Azure Data Fabric.
 * Experience designing and building APIs in Snowflake and Azure Data Factory.
 * Background in Medicaid, Medicare, or other healthcare applications.
 * Azure certifications related to data engineering or data analytics.
 * Ability to adapt quickly to evolving technologies and changing business needs.
 * A collaborative mindset and a commitment to delivering high-quality data solutions.

Horizontal is committed to fostering a diverse, equitable, and inclusive workplace where every individual is valued and respected. We welcome candidates from all backgrounds and experiences and encourage you to apply if you believe your skills and perspective can contribute to this opportunity.

## Description

We are seeking a Senior Data Engineer / Data Analyst to support enterprise healthcare data initiatives in a telecommute role. This position offers the opportunity to work on complex data warehouse solutions, modern cloud data platforms, and healthcare data processing in a collaborative environment.
Responsibilities

 * Design, build, and support data engineering solutions for large-scale healthcare data warehouse environments.
 * Develop and maintain ETL processes using tools such as Azure Data Factory, Databricks, Informatica PowerCenter, SSIS, or similar platforms.
 * Work with relational database technologies and write stored procedures to support data transformations and integrations.
 * Translate business and technical requirements into detailed data specifications and implementation plans.
 * Process structured and unstructured data while helping ensure data quality, reliability, and performance.
 * Support healthcare data initiatives involving HL7 and FHIR file formats and related workflows.
 * Collaborate with cross-functional teams on data usage, governance, privacy, security, analytics, and visualization efforts.
 * Troubleshoot pipeline issues, optimize existing processes, and help drive improvements across the data environment.
 * Contribute to source control and development practices using tools such as Azure DevOps, GitHub, or SVN.