Senior Data Engineer

Avaya

Senior Data Engineer designing AI-enabled data pipelines at Avaya. Collaborating with teams to develop scalable data infrastructure and enhance real-time data insights.

Posted 6/30/2026full-timeIrving • Texas • 🇺🇸 United StatesSenior💰 $157,414 - $207,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining scalable data pipelines and infrastructure, with a strong focus on cloud technologies and data governance. Proficient in utilizing automation tools and big data technologies to enhance data processing and analytics capabilities.

Highest-signal resume keywords

Big Data TechnologiesCloud-Based TechnologiesData GovernanceAutomation ToolsProgramming Languages

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Big DataData PipelinesData Storage SolutionsData ProcessingSQLETL ProcessesAIMachine LearningData VisualizationDatabase Skills

Soft Skills

CollaborationCommunication

Tools & Technologies

AzureAzure Data Lake 2Delta LakePandasNumPyMatplotlibTerraformGitHub ActionsHiveSpark

Industry Keywords

Data GovernanceComplianceReal-Time Data InsightsBI InitiativesData Engineering

Tech Stack

Tools & technologies

AirflowAzureCloudETLGoJavaNumpyPandasPySparkPythonScalaSparkSQLTerraform

About the role

Key responsibilities & impact

Spearhead the design, construction, and upkeep of AI-enabled data pipeline
Collaborate closely with project managers, engineers, and analysts
Develop and maintain scalable data pipelines for ingesting, transforming, and distributing large datasets
Design and implement secure data storage solutions
Optimize data processing performance and cost efficiency through monitoring and tuning
Integrate cloud services effectively for data engineering tasks while ensuring security and compliance
Implement data governance measures and ensure compliance with regulations
Utilize automation tools to streamline data operations
Enhance real-time data insights for big data processing and analytics
Support BI initiatives through integration with visualization tools

Requirements

What you’ll need

Bachelor's degree in Computer and Information Science or a related field
6 years of experience building and maintaining big data, advanced data pipelines and scalable data infrastructure
Experience with Cloud-based technologies (Azure and Data Lakes)
Lakehouse Storage Technologies and formats such as Azure Data Lake 2 (ADSL2), Delta Lake
AI, machine learning, and modern data processing tools (Pandas, NumPy, and Matplotlib)
Automation tools (Terraform and GitHub Actions)
Database Skills (SQL, ETL processes)
Big data technologies (Hive, Spark, PySpark, Airflow and Databricks)
Visualization tools (Power BI, Looker)
Programming languages (Python, Go, Scala, and Java)

Benefits

Comp & perks

Local telecommuting permitted.