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Remote Microsoft Data Engineer Jobs in Delaware (NOW HIRING)

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Remote Microsoft Data Engineer information

What are the key skills and qualifications needed to thrive as a Remote Microsoft Data Engineer, and why are they important?

To thrive as a Remote Microsoft Data Engineer, you need expertise in data modeling, ETL processes, and strong proficiency with SQL, along with a degree in computer science or a related field. Familiarity with Microsoft data platforms such as Azure Data Factory, SQL Server, Power BI, and relevant certifications like Microsoft Certified: Azure Data Engineer Associate are highly valued. Excellent problem-solving, communication, and collaboration skills are crucial for remote teamwork and effective project execution. These skills ensure the development of robust data solutions, facilitate seamless collaboration, and support informed decision-making in distributed environments.

How does a Remote Microsoft Data Engineer typically collaborate with cross-functional teams to deliver data solutions?

As a Remote Microsoft Data Engineer, you will frequently collaborate with data analysts, software engineers, and business stakeholders to design, implement, and optimize data pipelines and storage solutions using Microsoft Azure and related technologies. Communication often occurs through virtual meetings, project management tools, and code repositories, making clear documentation and proactive updates essential. You may participate in sprint planning, code reviews, and troubleshooting sessions to ensure that data solutions align with business goals and technical requirements. Building strong remote working relationships and maintaining transparency are key to successful collaboration in this role.

What is a Remote Microsoft Data Engineer?

A Remote Microsoft Data Engineer is a professional who designs, builds, and manages data solutions using Microsoft technologies, such as Azure Data Factory, SQL Server, and Power BI, while working from a remote location. Their responsibilities include developing data pipelines, implementing data models, and ensuring data quality and security. They collaborate with other IT professionals and business stakeholders to enable effective data-driven decision making within an organization. Working remotely, they use online tools and platforms to communicate and complete their tasks efficiently.

What is the difference between Remote Microsoft Data Engineer vs Remote Data Analyst?

AspectRemote Microsoft Data EngineerRemote Data Analyst
Required CredentialsMicrosoft certifications, SQL, cloud platform knowledgeData analysis certifications, SQL, Excel skills
Work EnvironmentCloud-based, technical teams, data engineering projectsBusiness teams, reporting, data visualization
Employer & Industry UsageTech companies, finance, healthcare using Microsoft toolsMarketing, retail, finance analyzing data trends

The Remote Microsoft Data Engineer focuses on building and maintaining data pipelines using Microsoft technologies, while the Remote Data Analyst interprets data to provide business insights. Both roles require SQL skills and often work in cloud environments, but their daily tasks and end goals differ significantly.

What are popular job titles related to Remote Microsoft Data Engineer jobs in Delaware? For Remote Microsoft Data Engineer jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Remote Microsoft Data Engineer jobs in Delaware look for? The top searched job categories for Remote Microsoft Data Engineer jobs in Delaware are:
What cities in Delaware are hiring for Remote Microsoft Data Engineer jobs? Cities in Delaware with the most Remote Microsoft Data Engineer job openings:
Principal Data Engineer

Principal Data Engineer

Cornerstone OnDemand

Wilmington, DE • Remote

Other

Posted yesterday


Job description

We are seeking a Principal Data Engineer to drive scalable, business-focused data solutions that power insight-driven decision-making across the enterprise. This role is ideal for someone who combines deep technical expertise in modern data platforms with the ability to translate complex data concepts into clear, actionable insights for non-technical stakeholders.

You will partner closely with Sales, Marketing, Customer Success, and Product teams to design, build, and optimize data models and pipelines that support reporting, analytics, and self-service data access.

In this role, you will:

  • Lead data initiatives across business functions (Sales, Marketing, Revenue Operations, Customer Success & Support) by delivering clear, actionable insights and strong data storytelling.

  • Design, build, and maintain scalable data pipelines and transformations using Snowflake and dbt .

  • Develop and manage dimensional data models and curated data marts to support analytics and reporting.

  • Write efficient, scalable SQL to transform and analyze large datasets.

  • Partner with business stakeholders to translate requirements into data models and solutions that drive decision-making.

  • Explain enterprise data lake and data warehouse concepts clearly to non-technical audiences.

  • Ensure high standards for data quality, governance, and reliability .

  • Support and enable self-service analytics through well-structured, documented data assets.

  • Mentor team members and promote best practices in data engineering and modeling.

You have what it takes if you have:

  • 10+ years of experience in data engineering, analytics, or BI in an enterprise environment.

  • Strong expertise in Snowflake , including building data pipelines and optimized data structures.

  • Hands-on experience with dbt for data transformation and modeling.

  • Deep understanding of data warehousing principles , including dimensional modeling (star/snowflake schemas).

  • Advanced SQL skills for large-scale data transformation and analysis.

  • Experience working with data lakes and modern data platforms .

  • Familiarity with Python for data tasks (scripting, automation, light data processing)-no data science experience required.

  • Excellent communication skills, with the ability to explain technical concepts to business stakeholders.

  • Proven ability to partner cross-functionally and deliver business-impacting data solutions.

An extra dose of awesome if...

  • Experience working in AWS or multi-cloud environments .

  • Familiarity with orchestration and ETL tools (e.g., Airflow, Informatica, Matillion).

  • Experience supporting Tableau or similar BI tools .

  • Background supporting CRM / GTM systems (e.g., Salesforce, Marketo, Gainsight).

#LI-remote

Equal Employment Opportunity has been, and will continue to be, a fundamental commitment at Cornerstone OnDemand. All qualified applicants are given consideration regardless of race, color, gender, age, sexual orientation, national origin, marital status, citizenship status, disability, veteran status, or any other protected class as provided in applicable Federal, State, or Local fair employment laws. If you have a disability or special need that requires accommodation, please contact us at careers@csod.com


Cornerstone onDemand logo

About Cornerstone onDemand

Sourced by ZipRecruiter

Cornerstone OnDemand (CSOD) is at a critically important juncture in the company's lifecycle. CSOD is the world's largest and most successful stand-alone unified Talent Management company and one of the world's largest SaaS companies. The company is entering a phase of achieving scale and global expansion through continued relentless execution.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

1,001 - 5,000 Employees

Headquarters location

Santa Monica, CA, US

Year founded

1999