2

Remote Azure Data Factory Jobs in Delaware (NOW HIRING)

Data Engineer II

Dover, DE ยท Remote

$90.90K - $109.20K/yr

Familiarity with data pipelines and integration concepts (e.g., Azure Data Factory, ETL/ELT ... Remote Req ID: 24302 #location

New

Senior, Data Engineer

Dover, DE ยท Remote

$140K - $160K/yr

Come join our amazing team and work remote from home! What you'll do: Under direct supervision ... Knowledge of cloud-based database management and integration services (e.g., Azure Data Factory ...

New

Data Analyst

Newark, DE ยท On-site +1

... Azure, Databricks, and/or Edifecs โ€ข Experience with business process needs analysis and ... This is a remote position. About Us Ecclesiastes provides highly skilled IT professionals to fill ...

Data Engineer - Healthcare

Dover, DE ยท Remote

$90.90K - $109.20K/yr

Experience with the Azure ecosystem. * Familiarity with dbt (data build tool) framework. Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be ...

Senior Data/AI Engineer

Dover, DE ยท Remote

$84.20K - $114.30K/yr

This role is remote and can be based anywhere within the United States. Candidates must be able to ... Operate fluently across Databricks and major cloud platforms (Azure, GCP). * Leverage modern AI ...

New

... of Data Science & AI. For the right candidate we may consider remote. Experienced full stack ... Fabric, Azure AI Foundry, Azure resources & platforms). * 5+ years advanced backend development ...

Senior IT Infrastructure Engineer

Dover, DE ยท Remote

$86.20K - $117.10K/yr

A Little About Us EDB provides a data and AI platform that enables organizations to harness the ... This role is 100% remote for candidates based in EST or CST only We are looking for a confident ...

IT Infrastructure Engineer II

Dover, DE ยท Remote

$85.40K - $112K/yr

A Little About Us EDB provides a data and AI platform that enables organizations to harness the ... This role is 100% remote for candidates based in EST or CST only We are looking for a confident ...

next page

Showing results 1-20

Remote Azure Data Factory information

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

To thrive as a Remote Azure Data Factory Engineer, you need strong expertise in data integration, ETL processes, and cloud-based data solutions, typically supported by experience in Microsoft Azure and a relevant technical degree. Proficiency in Azure Data Factory, SQL, Power BI, and familiarity with other Azure services or certifications (such as Azure Data Engineer Associate) is highly beneficial. Excellent problem-solving, communication, and time management skills are crucial for effective remote collaboration and troubleshooting. These competencies ensure efficient data pipeline development, seamless data flow, and the ability to deliver robust analytics solutions in distributed environments.

What are some common challenges faced by remote Azure Data Factory professionals, and how can they be addressed?

Remote Azure Data Factory professionals often encounter challenges related to communication and collaboration, especially when integrating data from multiple sources across different teams. To address this, it's essential to establish clear documentation practices, utilize collaboration tools such as Microsoft Teams, and schedule regular check-ins with stakeholders. Additionally, proactively managing data pipeline failures and ensuring security compliance in a remote setting requires strict adherence to best practices and close coordination with IT and security teams. Building a strong support network and maintaining open lines of communication are key to overcoming these challenges and succeeding in the role.

What is a Remote Azure Data Factory professional?

A Remote Azure Data Factory professional is an IT specialist who designs, builds, and manages data integration solutions using Microsoft Azure Data Factory while working from a remote location. They create and manage data pipelines to move and transform data between various sources and destinations in the cloud. These professionals often collaborate with data engineers, analysts, and business stakeholders to ensure data is accessible, secure, and reliable for analytics and reporting needs.

What is the difference between Remote Azure Data Factory vs Remote Data Engineer?

AspectRemote Azure Data FactoryRemote Data Engineer
CredentialsAzure certifications, data integration skillsData engineering certifications, cloud platform knowledge
Work EnvironmentCloud-based, primarily using Azure platformCloud and on-premises environments, broader tech stack
Industry UsageData integration, ETL workflows in AzureData pipeline development, database management
Search & Comparison IntentFocus on specific tool (Azure Data Factory)Broader data engineering roles

Remote Azure Data Factory specialists focus on designing and managing data workflows within the Azure platform, often requiring specific certifications. Remote Data Engineers have a broader scope, building and maintaining data pipelines across various environments. While both roles involve data integration, Azure Data Factory roles are more tool-specific, whereas Data Engineers encompass a wider range of technologies and responsibilities.

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

Data Engineer II

Pearson

Dover, DE โ€ข Remote

$90.90K - $109.20K/yr

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Business Intelligence Developer (Power BI)

Pearson Virtual Schools (PVS) โ€“ Enabling Technology

Location: Remote (U.S.-based)

About Pearson Virtual Schools

At Pearson Virtual Schools (PVS), we are committed to expanding access to high-quality education through innovative digital learning solutions. PVS is a division within Pearson, a global leader in the education industry. Our PVS Enabling Technology team plays a critical role in this mission by building scalable, trusted data products that empower school leaders, educators, and operational teams to make informed decisions that improve student outcomes.

As we evolve toward a Data Productโ€“driven organization , we are investing in modern analytics capabilities that combine trusted data pipelines, semantic models, and self-service reporting experiences .

Role Overview

We are seeking a Senior Power BI Developer to design, build, and deliver high-quality analytics and ETL (extract, transform & load) solutions that power decision-making across Pearson Virtual Schools. This role will operate at the intersection of data engineering and business intelligence , transforming complex data into intuitive, scalable reporting experiences.

You will partner closely with data engineers, analysts, and business stakeholders to develop semantic models, dashboards, and reporting experiences that align with defined data products and organizational standards. This is a hands-on individual contributor role with strong ownership expectations across the full lifecycle of analytics deliveryโ€”from requirements through deployment and optimization.

What Youโ€™ll Do

Data Visualization & Reporting

  • Design and develop Power BI dashboards and reports that support school operations, student outcomes analysis, and enterprise reporting

  • Translate business needs into intuitive, actionable visualizations aligned with PVS reporting standards

  • Optimize report performance, usability, and accessibility for diverse end users (school leaders, analysts, executives)

  • Implement and maintain data security policies within reporting tools in adherence with PVS data security policies, governance and best practices

Semantic Modeling

  • Build and maintain Power BI semantic models (datasets) that serve as governed, reusable data foundations

  • Implement data modeling best practices (star schema, DAX optimization, row-level security)

  • Partner with engineering to ensure alignment between data pipelines and reporting layer

Data Quality & Reliability

  • Validate data outputs and ensure consistency between reports and source systems

  • Troubleshoot data discrepancies, refresh failures, and performance issues

  • Contribute to monitoring, testing, and documentation of reporting solutions

  • Implement and validate Row Level Security in a multi-tenant environment

Collaboration & Delivery

  • Work closely with business stakeholders to refine requirements and prioritize features

  • Participate in design discussions, backlog refinement, and peer reviews

  • Communicate technical tradeoffs, risks, and timelines clearly to both technical and non-technical audiences

Scalability & Data Product Enablement

  • Contribute to the development of scalable, reusable reporting assets that align with PVS data product strategy

  • Support self-service analytics by enabling well-documented datasets and consistent definitions

  • Drive improvements in deployment practices, governance, and lifecycle management

What You Bring

Technical Expertise

  • Advanced experience with Power BI (report development, visualizations, DAX, Power Query, semantic modeling, Tabular Editor 3 , DAX Studio , or ALM Toolkit)

  • Strong understanding of data modeling concepts (star schema, fact/dimension design)

  • Experience with SQL and working with structured datasets in data warehouses/lakehouses

  • Familiarity with data pipelines and integration concepts (e.g., Azure Data Factory, ETL/ELT patterns)

Problem Solving & Ownership

  • Proven ability to independently deliver end-to-end reporting solutions

  • Strong troubleshooting skills across data, performance, and visualization issues

  • Experience improving data quality, reliability, and usability

Collaboration & Communication

  • Strong communication skills that deliver exceptional value to internal and external customers

  • Ability to translate complex technical concepts into clear, actionable insights

  • Experience working cross-functionally with engineering, analytics, and business teams

  • Strong documentation and knowledge-sharing practices

Qualifications

  • 5+ years of experience in Power BI development, business intelligence, or analytics engineering

  • Demonstrated experience delivering production-grade reporting solutions used for operational or strategic decision-making

  • Experience working in data-driven environments with evolving data architecture and governance practices

Preferred Experience

  • Experience in education, EdTech, or multi-tenant data environments

  • Familiarity with Azure ecosystem (Synapse, Fabric, Data Factory, or similar)

  • Exposure to data governance, lineage, and semantic layer standardization

  • Experience supporting self-service analytics at scale

Why Join Us

  • Lead impactful analytics work that supports students, educators, and school systems nationwide

  • Be part of a growing Data Product organization shaping the future of analytics at PVS

  • Work in a collaborative environment that values innovation, ownership, and continuous improvement

  • Become part of the Pearson Virtual Schools mission where we are helping people achieve success through lifelong learning

Success in This Role Looks Like

  • Trusted, high-performing Power BI reports used consistently by stakeholders

  • Scalable semantic models enabling self-service analytics

  • Reduced data discrepancies and improved reporting reliability

  • Strong partnership across engineering, analytics, and business teams

  • Consistent delivery of reporting projects meeting and exceeding requirements and timeframes

Applications will be accepted through June 1. This window may be extended depending on business needs.

Compensation at Pearson is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific location. As required by the California, Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, New York State, New York City, Vermont, Washington State, and Washington DC laws, the pay range for this position is as follows:

The full-time salary range is between $90,000 - $110,000

This position is eligible to participate in an annual incentive program, and information on benefits offered is here .

Who we are:

At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson.

Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing TalentExperienceGlobalTeam@grp.pearson.com.

Job: Engineering

Job Family: TECHNOLOGY

Organization: Virtual Learning

Schedule: FULL_TIME

Workplace Type: Remote

Req ID: 24302

#location