Data Engineer

Vizient, Inc

. Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Databricks, and other cloud-based technologies .

Posted 9/24/2026full-timeIrving • Texas • United StatesMid-LevelSenior💰 $77,400 - $135,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining scalable ETL/ELT pipelines using Azure Data Factory and Databricks, along with proficiency in SQL and Python for data transformation and integration. Capable of optimizing cloud infrastructure and ensuring data quality for advanced analytics and machine learning applications.

Highest-signal resume keywords

ETL/ELT Pipeline DevelopmentAzure Data Factory ProficiencySQL Query OptimizationDatabricks ConfigurationData Validation and Quality Checks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ETL/ELT Pipeline DevelopmentSQL Query OptimizationPython ProgrammingAzure SQL ManagementDatabricks Workspaces ConfigurationData Transformation SolutionsCloud Infrastructure SupportData Quality ChecksCI/CD DeploymentTechnical Documentation

Soft Skills

CollaborationProblem-SolvingCommunication

Tools & Technologies

Azure Data FactoryDatabricksAzure SQLData WarehousesLakehouse Platforms

Industry Keywords

Cloud-Based TechnologiesData IntegrationArtificial IntelligenceMachine LearningBusiness Intelligence

Tech Stack

Tools & technologies

AzureCloudETLJavaPythonSQL

About the role

Key responsibilities & impact

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
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

Requirements

What you’ll need

Experience designing, developing, and maintaining scalable ETL/ELT pipelines
Proficiency with Azure Data Factory, Databricks, and cloud-based technologies
Experience developing and optimizing SQL queries, stored procedures, database processes, and data transformation solutions
Proficiency with SQL, Python, and/or Java
Experience with Azure SQL, Azure SQL Managed Instance, Databricks, data warehouses, and lakehouse platforms
Experience configuring and supporting Databricks workspaces, catalogs, clusters, jobs, workflows, access controls, and deployment processes
Knowledge of cloud infrastructure components, including storage, security, service connections, secrets, permissions, and environment configurations
Experience with data validation, quality checks, error handling, and reconciliation processes
Experience preparing and integrating data for artificial intelligence, machine learning, automation, business intelligence, and advanced analytics
Experience with testing, code reviews, source control, CI/CD, deployment, and release management
Ability to maintain technical documentation and collaborate with engineers, architects, analysts, infrastructure teams, and business clients

Benefits

Comp & perks

Extensive opportunities for personal and professional development
Comprehensive benefits plan
Incentive eligibility