Join a dynamic enterprise data team as a Senior Data Engineer supporting large-scale healthcare data solutions in a highly collaborative environment. This role offers the opportunity to work on meaningful data warehousing and integration initiatives using modern Microsoft Azure technologies, Snowflake, and healthcare data standards.

Responsibilities

• Design, build, and support data pipelines and ETL solutions for complex healthcare data environments.
• Develop and maintain solutions using Azure Data Factory, Databricks, Informatica PowerCenter, SSIS, and similar tools.
• Work with relational databases and write stored procedures to support efficient data processing and transformation.
• Translate business requirements into clear technical specifications for ETL and data warehouse solutions.
• Process both structured and unstructured data while maintaining data quality, reliability, and performance.
• Collaborate with data, analytics, and governance partners to support enterprise information management efforts.
• Troubleshoot issues, optimize pipelines, and adapt solutions as business needs and technologies evolve.
• Contribute to work involving healthcare data formats and standards such as HL7 and FHIR.

Skills

• 8+ years of data engineering experience with a strong focus on data warehousing.
• 5+ years of hands-on experience with Azure Data Factory and Databricks.
• 5+ years of ETL development experience using tools such as Informatica PowerCenter, SSIS, Azure Data Factory, or similar platforms.
• 5+ years of experience with relational databases such as Oracle, Snowflake, or SQL Server.
• 5+ years of experience writing stored procedures using Oracle PL/SQL, SQL Server T-SQL, or Snowflake SQL.
• 3+ years of experience with Python scripting.
• 3+ years of experience using source control tools such as Azure DevOps, GitHub, or SVN.
• Experience analyzing project requirements and creating detailed technical 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, including REST or RPC approaches.
• Background in healthcare data, especially Medicaid or Medicare-related applications.
• Azure certifications related to data engineering or data analytics.

Horizontal is committed to building an inclusive and welcoming environment where diverse perspectives are valued and everyone can contribute meaningfully. We believe equity, respect, and belonging are essential to great teamwork and better outcomes for candidates, clients, and communities.

By applying for this position, you acknowledge and agree that Horizontal Talent may contact you regarding your application using automated technology, including phone calls, SMS/text messages, or email, which may be delivered by our virtual AI recruiter, Alex.