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Fabric Data Engineer Jobs in Delaware (NOW HIRING)

You will help establish and maintain governance processes for data assets within Microsoft Fabric ... Data Quality Engineering * Profile enterprise data to assess quality, identify risks, establish ...

You will help establish and maintain governance processes for data assets within Microsoft Fabric ... Data Quality Engineering * Profile enterprise data to assess quality, identify risks, establish ...

Power BI Architect-67189

Dover, DE · On-site

$120 - $160/hr

Partner with data engineering teams to implement ETL/ELT pipelines, orchestration, CI/CD ... Azure; Fabric / Synapse; Informatica / ADF / Fivetran / dbt / Airflow (any relevant); Storage ...

New

Read drawings and related data needed to perform removal and installation tasks. * Accomplish ... Tasks associated with Formica, Tedlar, wood laminate, hardwood, carpet, and fabric recovering of ...

Fabric Data Engineer information

See Delaware salary details

$44.5K

$129.8K

$177.7K

How much do fabric data engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for fabric data engineer in Delaware is $129,828.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,600.00 and $137,600.00 per year, depending on experience, location, and employer.

What is a Fabric Data engineer?

Fabric Data Engineers are professionals who specialize in designing, building, and maintaining data solutions using Microsoft Fabric, an end-to-end analytics platform. They work with data integration, transformation, and storage, ensuring data is accessible and reliable for business intelligence and analytics. Their responsibilities often include setting up data pipelines, integrating multiple data sources, and optimizing data flows for performance and security. Fabric Data Engineers collaborate closely with data analysts, data scientists, and other IT teams to provide robust data infrastructure.

How does a Fabric Data engineer typically collaborate with data analysts and business stakeholders?

As a Fabric Data Engineer, you will regularly partner with data analysts and business stakeholders to understand data requirements, design efficient data pipelines, and ensure data is accessible and reliable for reporting and analytics. Collaboration often involves participating in planning meetings, translating business needs into technical data models, and providing support for troubleshooting data issues. Clear communication and a proactive approach are essential, as you'll be bridging technical solutions with business objectives within cross-functional teams.

What are the key skills and qualifications needed to thrive as a Fabric Data engineer, and why are they important?

To thrive as a Fabric Data Engineer, you need strong skills in data modeling, ETL development, and cloud data platforms, typically supported by a degree in computer science or a related field. Proficiency with Microsoft Fabric, Azure Synapse, SQL, Power BI, and data integration tools, as well as relevant certifications, is highly valuable. Excellent problem-solving, collaboration, and communication skills help bridge the gap between technical teams and business stakeholders. These competencies are crucial for designing efficient data solutions, ensuring reliable analytics, and supporting organizational decision-making.

What is the difference between Fabric Data Engineer vs Fabric Data Analyst?

AspectFabric Data EngineerFabric Data Analyst
CredentialsBachelor's in CS, Data Science, or related; experience with data pipelinesBachelor's in Statistics, Data Analysis, or related; proficiency in data visualization tools
Work EnvironmentBuilds and maintains data infrastructure in cloud or on-premise environmentsAnalyzes data, creates reports, and visualizations for business insights
Employer & Industry UsageUsed in tech, finance, and enterprise sectors for data engineering rolesCommon in marketing, finance, and business intelligence teams

Fabric Data Engineers focus on designing and maintaining data pipelines and infrastructure, ensuring data availability and quality. Fabric Data Analysts interpret this data, creating reports and visualizations to support decision-making. Both roles often collaborate but serve different functions within data teams.

What are popular job titles related to Fabric Data Engineer jobs in Delaware?

For Fabric Data Engineer jobs in Delaware, the most frequently searched job titles are:

What cities in Delaware are hiring for Fabric Data Engineer jobs?

Cities in Delaware with the most Fabric Data Engineer job openings:

Infographic showing various Fabric Data Engineer job openings in Delaware as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $129,828 per year, or $62.4 per hour.

Data Governance & Quality Engineer

Agilent

Wilmington, DE • On-site, Remote

$124K - $194K/yr

Full-time

Posted 20 days ago


Agilent Technologies rating

8.3

Company rating: 8.3 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

48th of 543 rated manufacturers


Job description

Job Description

We are seeking an experienced Data Governance & Quality Engineer to play a key role in shaping Agilent's modern data management landscape.

In this role, you will combine data governance, metadata management, and data quality expertise to ensure business-critical data assets are governed, discoverable, trusted, and ready to support operational, analytical, and AI-driven use cases. You will help establish and maintain governance processes for data assets within Microsoft Fabric and enterprise data catalog environments, while partnering with business stakeholders, data owners, architects, and analytics teams to improve the quality, usability, and transparency of commercial data.

This role is ideal for a professional who enjoys working at the intersection of business processes, technology, and data governance and who wants to help build the foundation for the next generation of analytics and AI capabilities.

Key Responsibilities

Data Governance & Metadata Management

  • Govern critical data assets by defining and maintaining metadata, business definitions, ownership, stewardship responsibilities, classifications, quality requirements, and certification criteria.
  • Manage enterprise data catalog content, business glossary entries, lineage documentation, and impact analysis to keep data assets discoverable, understandable, and trusted.
  • Partner with data owners and subject matter experts to establish governance standards, accountability models, and processes for semantic models, governed data products, and enterprise reporting assets.

Modern Data Platforms & Analytics

  • Support Agilent's adoption of Microsoft Fabric, Power BI, Snowflake, and modern data management capabilities, with a focus on governed, reusable, and business-ready data assets.
  • Use SQL, Snowflake, Power BI, and related tools to analyze data, validate governance controls, and support quality and metadata monitoring activities.
  • Collaborate with Data Architecture, Data Engineering, and Analytics teams to embed governance, catalog, semantic layer, and monitoring requirements into solution design and delivery.

Data Quality Engineering

  • Profile enterprise data to assess quality, identify risks, establish baselines, and define data quality rules, KPIs, and monitoring processes for critical business data.
  • Perform root cause analysis and drive sustainable remediation of data quality issues in partnership with business and technical teams.
  • Develop monitoring and scorecard solutions that provide visibility into data quality, governance performance, and commercial readiness.

Business Partnership

  • Act as a trusted advisor for system implementations, integrations, business process changes, and digital transformation initiatives where data governance and quality are critical to commercial readiness.
  • Partner with stakeholders across Sales, Services, Marketing, and Operations to promote data literacy, stewardship, and practical governance best practices.
Qualifications
  • Bachelor's or Master's degree in Computer Science, Information Management, Business Analytics, Engineering, Mathematics, Statistics, or a related field.

  • 3+ years of experience in Data Governance, Metadata Management, Data Quality, Analytics, Business Intelligence, or related disciplines.

  • Strong SQL skills and experience working with large enterprise datasets.

  • Experience with Power BI, Snowflake, SAP, CRM, HANA, or similar enterprise platforms.

  • Experience with data catalogs, metadata management, business glossaries, lineage, data ownership models, and stewardship frameworks.

  • Understanding of semantic models, modern analytics architectures, and governed data products.

  • Experience defining and implementing data quality standards, monitoring frameworks, and remediation processes.

  • Familiarity with Microsoft Fabric or similar cloud-based analytics ecosystems.

  • Ability to translate business requirements into practical governance and data management solutions.

Additional Details

This job has a full time weekly schedule. It includes the option to work remotely. Applications for this job will be accepted until at least August 7, 2026 or until the job is no longer posted.The full-time equivalent pay range for this position is $124,160.00 - $194,000.00/yr plus eligibility for bonus, stock and benefits. Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location. Pay and benefit information by country are available at: https://careers.agilent.com/locationsAgilent Technologies, Inc. is an Equal Employment Opportunity and merit-based employer that values individuals of all backgrounds at all levels. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, religion or religious creed, color, gender, gender identity, gender expression, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, registered domestic partner status, age, sexual orientation, military or veteran status, protected veteran status, or any other basis protected by federal, state, local law, ordinance, or regulation and will not be discriminated against on these bases. Agilent Technologies, Inc., is committed to creating and maintaining an inclusive in the workplace where everyone is welcome, and strives to support candidates with disabilities. If you have a disability and need assistance with any part of the application or interview process or have questions about workplace accessibility, please email job_posting@agilent.com or contact +1-262-754-5030. For more information about equal employment opportunity protections, please visit www.agilent.com/en/accessibility.Travel Required: NoShift: DayDuration: No End DateJob Function: Administration

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