Data Engineer

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future. Summary: 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. 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. Build and support data pipelines and workflows using Azure SQL, Databricks, Apache Spark, Python, and PySpark. Develop and maintain scalable Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) processes to integrate data across cloud-based platforms. Support AI/ML initiatives by developing and maintaining data pipelines and feature datasets used for model training and analytics. Design and implement relational and dimensional data models, including Slowly Changing Dimension (SCD) patterns. 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. Qualifications: 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. Experience with Databricks, Apache Spark, or similar distributed data processing platforms required. Hands-on experience using Python for data processing, analytics, or data engineering workflows required. Experience working in Azure cloud environments required. Understanding of data warehousing concepts, dimensional modeling, and ETL/ELT pipelines required. Experience with .Net, C#, .Net Core, Angular and AI/ML preferred. 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. Estimated Hiring Range: At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $77,400.00 to $135,400.00. This position is also incentive eligible. Vizient has a comprehensive benefits plan! Please view our benefits here: about-us/careers Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.