Data Engineer

Vizient, Inc

Irving (TX)

On-site

USD 77,000 - 135,000

Full time

5 days ago
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Benefits offered by this job

Incentive eligible
Comprehensive benefits

Job summary

Vizient, Inc. is seeking a Data Engineer in Irving, TX to design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory and Databricks. You will optimize SQL queries and build data solutions across Azure SQL and lakehouse platforms.

Strong Python/Java skills and CI/CD experience are required. Responsibilities include monitoring pipelines, ensuring data quality, and collaborating with architects, analysts, and business clients to deliver reliable data infrastructure.

Qualifications

  • Experience designing and maintaining scalable ETL/ELT pipelines.
  • Strong SQL skills including complex queries and optimization.
  • Proficiency in Python and/or Java for data processing workflows.

Responsibilities

  • Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory and Databricks.
  • Develop and optimize SQL queries, stored procedures, and data transformations using SQL, Python, and/or Java.
  • Build and support data solutions across Azure SQL, Databricks, data warehouses, and lakehouse platforms.

Skills

ETL/ELT pipelines
SQL
Python
Databricks
Azure Data Factory
CI/CD
Java
Azure

Tools

Azure Data Factory
Databricks
SQL Server
Azure SQL Managed Instance
CI/CD tooling

Job description

## Data EngineerApply: Irving, TX 75062 Vizient Corporate HQ: Irving, TX 75062 Provista Corporate HQ: Full time: Posted Today: 35028RWhen 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.**Responsibilities:** * Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Databricks, and other cloud-based technologies.* Develop and optimize SQL queries, stored procedures, database processes, and data transformation solutions using SQL, Python, and/or Java.* Build and support data solutions across Azure SQL, Azure SQL Managed Instance, Databricks, data warehouses, and lakehouse platforms.* Configure and support Databricks workspaces, catalogs, clusters, jobs, workflows, access controls, and deployment processes.* Support cloud infrastructure components, including storage, security, service connections, secrets, permissions, and environment configurations.* Monitor, troubleshoot, and optimize data pipelines, databases, Databricks workloads, and cloud infrastructure to improve performance and reliability.* Implement data validation, quality checks, error handling, and reconciliation processes to maintain data accuracy and integrity.* Prepare, structure, and integrate data for artificial intelligence, machine learning, automation, business intelligence, and advanced analytics use cases.* Participate in testing, code reviews, source control, CI/CD, deployment, and release management activities.* Maintain technical documentation and collaborate with engineers, architects, analysts, infrastructure teams, and business clients to deliver scalable data solutions.**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: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.
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