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CDW

Software Engineer II, Data

CDW

. Build ingestion and transformation solutions using Microsoft Fabric and Azure Data Factory .

Posted 11/3/2026full-timeRemote • United StatesMid-LevelSenior💰 $86,000 - $119,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in building and optimizing data ingestion and transformation solutions using Microsoft Fabric and Azure Data Factory, with a strong focus on data modeling, validation, and performance tuning. Proficient in developing enterprise data pipelines and integrations while ensuring data quality and integrity.

Highest-signal resume keywords
Microsoft FabricAzure Data FactorySQL DevelopmentData EngineeringCI/CD Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data IngestionData TransformationSQL QueriesData ModelingPerformance OptimizationData ValidationData WarehousingETL/ELTAPI IntegrationsEvent-Driven Integrations
Soft Skills
Analytical SkillsProblem-SolvingCommunicationCollaborationAgile Delivery
Tools & Technologies
Azure Data LakeAzure SQL ServerGitHubAzure DevOpsPython
Certifications & Qualifications
Microsoft Fabric CertificationAzure Data Engineering Certification
Industry Keywords
Data GovernanceData QualityMedallion ArchitectureDelta LakeLegacy-Platform Modernization

Tech Stack

Tools & technologies
AzureETLPySparkPythonSQLVault

About the role

Key responsibilities & impact
  • Build ingestion and transformation solutions using Microsoft Fabric and Azure Data Factory
  • Implement batch, incremental, API, file, database, and event-based integration pipelines
  • Develop reusable and configuration-driven ingestion and transformation patterns
  • Build curated data structures for analytics, reporting, operational, and downstream application requirements
  • Work with structured and semi-structured data, including SQL, CSV, JSON, XML, and Parquet
  • Work with Azure Data Factory, Azure Data Lake/Storage, and Azure SQL/SQL Server
  • Translate business and source-system requirements into scalable data models
  • Participate in conceptual, logical, and physical data modeling
  • Design dimensional and curated models for enterprise reporting and analytics
  • Develop complex SQL queries, views, transformations, and data-processing logic
  • Troubleshoot and tune query, pipeline, and data-processing performance
  • Resolve data-quality, integrity, completeness, and consistency issues
  • Perform source-to-target and source-to-source reconciliation
  • Develop validation checks for new pipelines and changes
  • Use GitHub for source control and branch-based development
  • Follow EDAS CI/CD, pull-request, code-review, and design-review standards
  • Use Azure DevOps and approved engineering practices to manage delivery
  • Create maintainable, reusable, well-documented code
  • Participate in peer code and design reviews
  • Create or improve reusable engineering patterns and documentation
  • Monitor and support production data pipelines and scheduled workloads
  • Troubleshoot pipeline failures, missed schedules, long-running processes, and data-quality issues

Requirements

What you’ll need
  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, Engineering, or a related field and 3 years of relevant IT experience, OR 7 total years of relevant IT experience
  • Professional experience developing enterprise data pipelines, integrations, data warehouses, Lakehouse solutions, or analytics data platforms
  • Demonstrated ability to troubleshoot complex data and integration problems
  • Strong analytical and problem-solving skills
  • Strong communication and cross-functional collaboration skills
  • Ability to deliver effectively in an Agile enterprise engineering environment
  • Strong SQL and relational database development
  • Strong understanding of data engineering and ETL/ELT
  • Microsoft Fabric
  • Azure Data Factory (ADF)
  • Azure Data Lake / Storage
  • Azure SQL / SQL Server
  • Data warehousing and dimensional/data modeling concepts
  • Data ingestion and transformation patterns
  • Data validation and reconciliation
  • Performance optimization and troubleshooting
  • Git / GitHub
  • CI/CD and pull-request-based development
  • Azure DevOps / Agile delivery practices
  • Python and/or PySpark, a plus
  • Delta Lake / Lakehouse concepts, a plus
  • Medallion architecture, a plus
  • REST APIs / JSON-based integrations, a plus
  • Event-driven integrations and Azure Service Bus, a plus
  • Data migration and legacy-platform modernization, a plus
  • Azure Key Vault and secure credential handling, a plus
  • Enterprise data governance and data-quality concepts, a plus
  • Microsoft Fabric / Azure data engineering certifications, a plus

Benefits

Comp & perks
  • Benefits overview: https://cdw.benefit-info.com/
  • Equitable, transparent, and respectful hiring process
  • Thoughtful use of AI encouraged to expand perspective and elevate application materials