Software Engineer II, Data

🔥 1 minute ago

🇺🇸 United States – Remote

💵 $86k - $119k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

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CDW

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1984

💼 Consulting

🏥 Healthcare

📚 Education

💰 Post-IPO Equity on 2015-07

Consulting • Healthcare • Education

CDW is a leading provider of technology solutions, offering a comprehensive range of products and services to address the needs of enterprises, government, healthcare, and education sectors. They specialize in providing IT infrastructure services, managed services, and security solutions. CDW partners with top technology brands to deliver customized solutions that enhance business productivity and performance across various industries. With a strong focus on digital transformation, security, and cloud solutions, CDW supports businesses in navigating the complexities of modern IT environments. Their expertise spans several domains, including digital workspaces, cybersecurity, and enterprise solutions, making CDW a key partner in driving technological advancements.

📋 Description

• 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

• 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

• 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

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