Software Engineer

Vizient•Irving, TX

45d

About The Position

In this role, you will design, develop, and support scalable data and database solutions that enable analytics and innovation across healthcare-focused client initiatives. You will collaborate with cross-functional teams to build modern data pipelines, optimize relational databases, and contribute to cloud-based data platforms. You will apply strong SQL and Python expertise to enhance performance, reliability, and data accessibility while supporting advanced analytics and Artificial Intelligence/Machine Learning (AI/ML) use cases.

Requirements

Relevant degree preferred. Bachelor’s degree in Computer Science, Information Systems, or a related field preferred.
2 or more years of relevant experience required.
Experience developing and supporting database solutions using SQL Server or Azure SQL required.
Strong proficiency in T-SQL, including query development, performance tuning, and optimization required.
Hands-on experience using Python for data processing, analytics, or data engineering workflows required.
Experience with Databricks, Apache Spark, or similar distributed data processing platforms required.
Understanding of data warehousing concepts, dimensional modeling, and ETL/ELT pipelines required.
Experience working in Azure cloud environments required.
Strong analytical, problem-solving, and written and verbal communication skills.
You must be authorized to work in the United States without sponsorship now and in the future.

Nice To Haves

Experience with .Net, C#, .Net Core, Angular and AI/ML preferred.

Responsibilities

Design, build, test, and optimize relational database solutions using SQL Server and Azure SQL, including T-SQL queries, stored procedures, and data models.
Improve database performance, reliability, and scalability through indexing strategies, query tuning, and optimization techniques.
Develop and maintain scalable Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) processes to integrate data across cloud-based platforms.
Build and support data pipelines and workflows using Azure SQL, Databricks, Apache Spark, Python, and PySpark.
Design and implement relational and dimensional data models, including Slowly Changing Dimension (SCD) patterns.
Support AI/ML initiatives by developing and maintaining data pipelines and feature datasets used for model training and analytics.
Utilize Python to enable data preparation, analytics workflows, and experimentation for machine learning use cases.
Collaborate with data science teams to operationalize models using Spark, ML frameworks, or cloud-based ML services.
Participate in design discussions, code reviews, and Agile ceremonies to ensure high-quality and maintainable solutions.
Partner with application developers, data engineers, BI teams, and analytics partners to deliver integrated solutions.
Troubleshoot production issues, conduct root cause analysis, and implement sustainable resolutions.
Adhere to data governance, security, and quality standards to ensure compliance and data integrity.