Pay
Lower than most similar jobs
$86K–$119K against $127K–$190K, the middle half of what similar US postings state.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Remote – USA
Actively hiring, first seen by us 1 day agoMicrosoft Fabric / Azure data engineering certifications, a plus. Pay range: $86,000 - $119,000, depending on experience and skill set. Benefits overview: https://cdw.benefit-info.com/ CDW is committed to being an AI-fluent organizationRead the full posting
Listed location: Remote – USARead the full posting
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Build ingestion and transformation solutions in Microsoft Fabric and Azure Data Factory
Implement batch, incremental, API, file, database, and event-based pipelines
Design dimensional and curated data models for reporting and analytics
Perform data validation, reconciliation, and data-quality fixes
Monitor and troubleshoot production data pipelines and scheduled workloads
Build ingestion and transformation solutions using Microsoft Fabric and Azure Data Factory.
Implement pipelines supporting batch, incremental, API, file, database, and event-based integration patterns.
Design dimensional and curated models that support enterprise reporting and analytics.
Perform source-to-target and source-to-source reconciliation.
Monitor and support production data pipelines and scheduled workloads.
What we expect of you: - 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.
CDW is a Fortune 500 technology solutions provider that helps businesses, government, education, and healthcare organizations achieve what’s possible through technology.
In the employer’s words · Read in context
Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Lower than most similar jobs
$86K–$119K against $127K–$190K, the middle half of what similar US postings state.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Day 1
Early. Similar jobs usually come down between day 6 and day 54.
From 10,824 similar postings that came down. Coming down is not always a hire.
5 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Azure DevOps / Agile delivery practices. - Python and/or PySpark, a plus. - Delta Lake / Lakehouse concepts, a plus.
- Build curated data structures supporting analytics, reporting, operational, and downstream application requirements. - Work with structured and semi-structured data, including SQL, CSV, JSON, XML, Parquet, and similar enterprise formats. - Work with Azure Data Factory, Azure Data Lake/Storage and Azure SQL/SQL Server.
- Work with structured and semi-structured data, including SQL, CSV, JSON, XML, Parquet, and similar enterprise formats. - Work with Azure Data Factory, Azure Data Lake/Storage and Azure SQL/SQL Server. - Translate business and source-system requirements into scalable data models.
- Design dimensional and curated models that support enterprise reporting and analytics. - Develop complex SQL queries, views, transformations, and data-processing logic. - Troubleshoot query, pipeline, and data-processing issues.
- Ability to deliver effectively in an Agile enterprise engineering environment. - Strong SQL and relational database development. - Strong understanding of data engineering and ETL/ELT.
- Azure Data Lake / Storage. - Azure SQL / SQL Server. - Data warehousing and dimensional/data modeling concepts.
What you will do: - Build ingestion and transformation solutions using Microsoft Fabric and Azure Data Factory. - Implement pipelines supporting batch, incremental, API, file, database, and event-based integration patterns.
- Follow EDAS CI/CD, pull-request, code-review and design-review standards. - Use Azure DevOps (ADO) and approved engineering practices to manage delivery. - Create maintainable, reusable, well-documented code.
- Microsoft Fabric. - Azure Data Factory (ADF). - Azure Data Lake / Storage.
- Azure Data Factory (ADF). - Azure Data Lake / Storage. - Azure SQL / SQL Server.
- CI/CD and pull-request-based development. - Azure DevOps / Agile delivery practices. - Python and/or PySpark, 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.
- 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.
- Enterprise data governance and data-quality concepts, a plus. - Microsoft Fabric / Azure data engineering certifications, a plus. Pay range: $86,000 - $119,000, depending on experience and skill set. Benefits overview: https://cdw.benefit-info.com/
- Python and/or PySpark, a plus. - Delta Lake / Lakehouse concepts, a plus. - Medallion architecture, a plus.
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We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job Summary:
The Software Engineer II, Data builds and supports enterprise data ingestion, transformation, modeling, and integration solutions. This role translates business and source-system requirements into scalable, maintainable data solutions that support analytics, reporting, operational, and downstream application needs.
What you will do:
What we expect of you:
Pay range: $86,000 - $119,000, depending on experience and skill set.
Benefits overview: https://cdw.benefit-info.com/
CDW is committed to being an AI-fluent organization
We’re looking for people who bring curiosity, a learner’s mindset, and a willingness to engage with ever-evolving technology and tools. We value adopting AI as a partner, openness to experimentation, and a shared interest in learning together on AI. Our goal is to create a culture where AI enhances—not replaces—human creativity and decision-making. You don’t need to be an expert today; what matters is your readiness to explore, adapt, and grow with us as we integrate AI responsibly and effectively into our work.Additionally, CDW is committed to fostering an equitable, transparent, and respectful hiring process for all applicants. During our application process, our goal is to understand your experience, strengths, skills, and qualifications. As an AI forward company, we see AI not just as a tool, but as a catalyst for new ways of thinking, creating, and communicating. We encourage candidates to embrace an AI mindset, one that’s curious, adaptive, and ready to explore what’s possible. We welcome thoughtful use of AI to expand your perspective and elevate how you share your story, while ensuring your application remains rooted in your own background, judgment, and voice.
About Us
CDW is a Fortune 500 technology solutions provider that helps businesses, government, education, and healthcare organizations achieve what’s possible through technology. What makes CDW different isn’t just what we do—it’s how we do it. At CDW we act as one—building trust, speaking candidly, and working together to achieve more. We play to win—focusing on what matters most and delivering for our customers. And we think forward—staying curious, moving fast, and continuously learning. We believe meaningful work happens when people feel supported, heard, and empowered to contribute. That’s why we think of ourselves as coworkers, not just employees—working together to solve complex challenges and deliver real impact for our customers and communities.
As a full‑stack, full‑lifecycle technology partner, CDW brings deep expertise, strong relationships, and broad industry knowledge to help turn ideas into outcomes. When you join CDW, you become part of a collaborative environment where your work matters, your growth is supported, and your contributions help shape what’s next.
Together, we deliver the full promise of what technology can do. Together, we Make Amazing Happen.
CDW is an equal opportunity employer. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by state and local law.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Microsoft Fabric / Azure data engineering certifications, a plus. Pay range: $86,000 - $119,000, depending on experience and skill set. Benefits overview: https://cdw.benefit-info.com/ CDW is committed to being an AI-fluent organization
Remote – USA
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.