Sr Software Engineer

Posted 2 Days Ago
Be an Early Applicant
75062, Irving, TX, USA
In-Office
102K-179K Annually
Senior level
Analytics • Consulting
The Role
Design, build, and maintain scalable ETL/ELT data pipelines and Python-based workflows using SSIS, ADF, and Databricks. Optimize SQL and distributed processing, support CI/CD, modernize Azure cloud data platforms, provide production support, and collaborate with AI/ML teams to prepare datasets and integrate AI capabilities.
Summary Generated by Built In

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 join our Data Engineering team as a Senior Software Engineer, focusing on building and maintaining scalable data pipelines, modernizing cloud infrastructure, and supporting existing applications and projects. You will also contribute to the design, development, and deployment of AI and machine learning solutions, partnering across the full lifecycle from experimentation and prototyping through production implementation and ongoing optimization.

 

Responsibilities:

 

·                  Design, develop, and maintain scalable ETL/ELT pipelines using SSIS, Azure Data Factory (ADF), and Databricks.

·                  Develop, optimize, and troubleshoot complex SQL queries, stored procedures, and data transformation processes for large-scale datasets.

·                  Build and maintain Python-based data pipelines, automation scripts, and data processing workflows.

·                  Design and implement efficient data ingestion, integration, and validation processes from multiple internal and external data sources.

·                  Develop and support CI/CD pipelines to ensure reliable deployment and maintenance of data engineering solutions.

·                  Collaborate with business analysts, application developers, and stakeholders to understand data requirements and deliver high-quality data solutions.

·                  Monitor, troubleshoot, and optimize data pipelines to improve performance, reliability, and scalability.

·                  Support cloud-based data platform modernization initiatives using Azure services and Databricks.

·                  Create and maintain technical documentation, data mappings, and operational procedures.

·                  Participate in code reviews and follow engineering best practices, coding standards, and data governance policies.

·                  Provide production support, troubleshoot data-related issues, and implement enhancements to existing data solutions.

·                  Work with AI/ML and analytics teams by preparing, transforming, and delivering high-quality datasets for reporting, analytics, and machine learning initiatives.

·                  Assist with integrating AI-enabled capabilities into data platforms where appropriate while maintaining a primary focus on data engineering and platform reliability.

 

Qualifications:

 

·                  Degree in Computer Science, Engineering, Information Systems, or a related field preferred.

·                  5 or more years of relevant experience required.

·                  Strong proficiency in SQL and experience working with large and complex datasets required.

·                  Hands-on experience with SSIS and Azure Data Factory (ADF) required.

·                  Proficiency in Python for data engineering, scripting, and automation required.

·                  Experience with Databricks and distributed data processing required, Py Spark experience is a plus.

·                  Strong experience with CI/CD practices and tools such as Azure DevOps or GitHub Actions required.

·                  Working knowledge of the AI/ML lifecycle, including model training, evaluation, deployment, and monitoring required.

·                  Exposure to or hands-on experience with LLM-powered applications, including RAG pipelines and agentic systems preferred.

·                  Solid understanding of data architecture, data modeling, and data quality principles preferred.

·                  Strong analytical and problem-solving skills with the ability to work independently and collaboratively in a team environment.

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 $102,400.00 to $179,000.00.

This position is also incentive eligible.

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

http://www.vizientinc.com/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.

Skills Required

  • 5 or more years of relevant experience
  • Strong proficiency in SQL and experience with large, complex datasets
  • Hands-on experience with SSIS
  • Hands-on experience with Azure Data Factory (ADF)
  • Proficiency in Python for data engineering, scripting, and automation
  • Experience with Databricks and distributed data processing
  • Strong experience with CI/CD practices and tools such as Azure DevOps or GitHub Actions
  • Working knowledge of the AI/ML lifecycle (training, evaluation, deployment, monitoring)
  • Degree in Computer Science, Engineering, Information Systems, or related field
  • PySpark experience
  • Exposure to LLM-powered applications, including RAG pipelines and agentic systems
  • Solid understanding of data architecture, data modeling, and data quality principles
  • Strong analytical and problem-solving skills and ability to work independently and collaboratively

Vizient Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Vizient and has not been reviewed or approved by Vizient.

  • Leave & Time Off Breadth Time off allowances are generous, with ample PTO and holidays available from day one. Separate paid volunteer days add additional protected time away.
  • Flexible Benefits Flexibility to work from anywhere for part of the year and hybrid options support work-life balance. Policies enabling remote periods complement the broader PTO structure.
  • Retirement Support Retirement benefits include a competitive 401(k) company match alongside HSA contributions on eligible plans. These elements strengthen long-term financial security within the total rewards package.

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The Company
HQ: Irving, TX
5,661 Employees
Year Founded: 1977

What We Do

Vizient, Inc., the nation’s largest health care performance improvement company, serves more than 50% of the nation’s acute care providers, which includes 97% of the nation’s academic medical centers, and more than 20% of ambulatory care providers. Vizient provides expertise, analytics and advisory services, as well as a contract portfolio that represents more than $130 billion in annual purchasing volume. Vizient is based in Dallas and has offices in 20 metropolitan areas across the United States. We have 4,000 employees with a breadth of expertise, experience and compassion, who are eager to develop and implement solutions that advance health care for the greater good.

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