Lead Software Engineer

Vizient, Inc.; Irving (TX); On-site; USD 117,600 - 206,000; Full time

Benefits offered by this job

Comprehensive benefits plan

Incentive eligibility

Job summary

Vizient, Inc. is seeking a Data Engineering Lead to design, develop, and support data integration solutions within our technology team. The role emphasizes strong leadership and collaboration with business analysts and product owners. Key qualifications include at least 7 years of experience in data or software engineering, expertise with Azure Data Factory, and a relevant degree. The salary range for this role is $117,600.00 to $206,000.00, and the position is incentive eligible.

Qualifications

• 7 or more years of relevant software engineering or data engineering experience required.
• Experience with Azure Data Factory, including pipeline development.
• Strong analytical, problem-solving, communication, and collaboration skills required.

Responsibilities

• Lead the design, development, and support of data integration solutions.
• Optimize ETL pipelines for data warehousing and analytics.
• Monitor and enhance production ETL jobs for reliability and performance.

Skills

Azure Data Factory

SQL

Data engineering

ETL

Azure DevOps

Problem-solving

Education

Relevant degree in computer science or related field

Tools

Azure Databricks

SSIS

Tableau

Power BI

Job description

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 lead the design, development, and support of data integration and engineering solutions within the Apexus technology team. You will provide technical leadership for data engineering team that support daily, weekly, and monthly feeds. You will guide new development efforts that enable ad-hoc analytics, standardized reporting, operational workflows, and data-driven solutions for internal and external customers. You will work closely with business analysts, data architects, product owners, and other technology partners to deliver scalable, secure, and reliable data solutions.

Responsibilities:

• Lead the design, development, testing, deployment, and support of data integration solutions across Azure Data Factory, Azure Databricks, SSIS, SQL Server, and related platforms.
• Work with business analysts, data architects, product owners, and stakeholders to understand business requirements and translate them into scalable technical solutions.
• Design, build, and optimize ETL and ELT pipelines to support reporting dashboards, data warehouse, analytics, and operational data needs.
• Lead development efforts for data movement between various systems, platforms, databases, APIs, and file types.
• Develop and maintain SQL objects, including tables, views, stored procedures, functions, indexes, and performance-tuned queries.
• Ability to technical leadership and guidance to software engineers and data developers, including code reviews, design reviews, mentoring, and troubleshooting support.
• Monitor, maintain, enhance, and optimize production ETL and data processing jobs to ensure reliability, accuracy, and performance.
• Lead efforts to modernize legacy SSIS and SQL-based processes using cloud-based technologies.
• Perform unit testing, integration testing, performance testing, and production validation for new and modified solutions.
• Manage source code versioning, branching, deployment, and release activities following established DevOps and change management practices.
• Collaborate with data architects to support data modeling, dimensional design, data warehousing, and data mart development.
• Troubleshoot complex data issues, job failures, performance bottlenecks, and production incidents.
• Support Agile and Waterfall software development life cycles, including estimation, sprint planning, backlog refinement, and delivery tracking.
• Identify opportunities to improve automation, monitoring, reliability, data quality, and overall platform performance.

Qualifications:

• Relevant degree in computer science, information systems, data engineering, software engineering, or a related field preferred.
• 7 or more years of relevant software engineering, data engineering, ETL, or database development experience required.
• Experience with Azure Data Factory required, including pipeline development, triggers, linked services, datasets, integration runtimes, monitoring, and error handling.
• Experience with Databricks preferred
• Proficiency with Azure DevOps (ADO) for backlog management, delivery tracking, and operational visibility required.
• Experience supporting production data processes, job scheduling, monitoring, incident response, and root cause analysis required.
• Experience with healthcare, pharmaceutical, 340B or compliance-related data preferred.
• Experience with reporting and visualization platforms such as Strategy, Tableau, Power BI, or similar tools a preferred.
• Strong analytical, problem-solving, communication, and collaboration skills required.
• Ability to work independently while also leading team-based technical delivery efforts.

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 $117,600.00 to $206,000.00.

This position is also incentive eligible.

Vizient has a comprehensive benefits plan! Please view our benefits here:

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.