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Software Engineer II Data

Pay
$86,000–119,000/yearAnnual period assumed — pay source
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
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Work setting
Remote — work setting source
Listed location: Remote – USA
Read the full posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full 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

From the employer’s posting
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.
Education & alternatives
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.

About CDW

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

Apply at CDW

Posting record

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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 3, 20261 day ago
Recorded sightings
2
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

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.

Time since we first saw it

Day 1

Early. Similar jobs usually come down between day 6 and day 54.

At CDW, jobs usually come down by about day 35.

From 10,845 similar postings that came down, and 12 of CDW’s. Coming down is not always a hire.

CDW is hiring

5 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring has slowed
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

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.

  • Python
  • SQL
  • Azure
  • Delta Lake
  • SQL Server
  • PySpark
Where the posting names them
- 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.

Your next step

Complete your application on cdw.wd5.myworkdayjobs.com. The employer’s form will show what is required.

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Already applied? Track this application

About the role

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.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

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 description

View original posting ↗

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:


  • 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.
  • Develop reusable and configuration-driven ingestion and transformation patterns where appropriate.
  • 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.
  • Translate business and source-system requirements into scalable data models.
  • Participate in conceptual, logical, and physical data modeling.
  • 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.
  • Perform query and pipeline performance tuning.
  • Identify and 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 (ADO) and approved engineering practices to manage delivery.
  • Create maintainable, reusable, well-documented code.
  • Participate actively in peer code and design reviews.
  • Create or improve reusable engineering patterns and supporting documentation.
  • Monitor and support production data pipelines and scheduled workloads.
  • Troubleshoot pipeline failures, missed schedules, long-running processes, and data-quality issues.

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.
  • 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.

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.       

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Pay
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
Location & working pattern

Remote – USA

Working pattern and location restrictions need checking in the full posting.

Work authorization

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