Data Engineer – Fabric

Dayforce

Data Engineer collaborating with teams to deliver Microsoft Fabric-based data solutions for reporting and analytics. Ensuring data quality and supporting ML and AI processes.

Posted 7/27/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and developing data solutions using Microsoft Fabric, including Data Pipelines and Dataflows Gen2, while ensuring data quality and compliance through effective governance practices. Proficient in integrating data solutions with Power BI and Azure services to support analytical workloads and machine learning processes.

Highest-signal resume keywords

Microsoft FabricData EngineeringETL DevelopmentData GovernancePower BI Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data PipelinesDataflows Gen2Lakehouse ArchitectureData ModelingContinuous Integration/Continuous DeliveryMachine LearningArtificial IntelligenceData QualityData SecurityData Warehousing

Soft Skills

Communication SkillsProblem-Solving SkillsOrganizational SkillsTime ManagementTeam Collaboration

Tools & Technologies

Microsoft FabricPower BIAzure ServicesMS OfficeMS Teams

Industry Keywords

Data Governance FrameworksData IntegrityMedallion ArchitectureAnalytical WorkloadsData Accessibility

Tech Stack

Tools & technologies

AzureETL

About the role

Key responsibilities & impact

Collaborate with cross-functional teams to understand data and analytical requirements and translate them into effective Microsoft Fabric–based data solutions.
Design, develop and maintain end-to-end data ingestion and transformation processes using Microsoft Fabric Data Pipelines, Dataflows Gen2, and Notebooks.
Format, cleanse, and store data in a structured manner to ensure data quality and accessibility for reporting and analysis, following Medallion Architecture
Work closely with reporting and analytics teams to ensure datasets are accurate, well-modeled, and optimized for Power BI and other analytical workloads.
Create comprehensive developer documentation for data pipelines, processes, and solutions.
Participate in data governance activities to ensure data integrity, security, and compliance.
Utilize source control to manage and track changes to data pipelines and codebase.
Provide level II/III support to troubleshoot and resolve data-related issues and inquiries.
Provide ancillary support for Machine learning (ML) and Artificial Intelligence (AI) processes
Stay updated with industry trends and best practices related to data warehousing, ETL, and data engineering.

Requirements

What you’ll need

Bachelor's degree in Computer Science, Information Technology, or a related field
3+ years experience data engineering, ETL development, and data warehousing.
Experience with Microsoft Fabric, including OneLake, Lakehouses, Data Pipelines, Dataflows Gen2, and/or Notebooks.
Understanding of lakehouse architectures, data modeling, and modern analytics patterns.
Experience with data governance, data quality, and data security frameworks and standards.
Experience in Continuous Integration/Continuous Delivery (“CI/CD”).
Expertise in integrating Fabric solutions with Power BI, Azure services, and external data sources.
Expertise in developing data pipelines to support Machine Learning (ML) and / or Artificial Intelligence (AI) tools is a plus
Excellent verbal and written communication skills, presentation, problem-solving skills and attention to detail.
Self-starter with strong organizational and time management skills, self-directed and able to handle multiple priorities with demanding timeframes.
Ability to work independently and collaboratively with colleagues and staff to create a high-quality results-driven, team-oriented fast paced environment.
Demonstrated ability to use discretion, make sound decisions, and maintain confidentiality.
Willingness and ability to work flexible hours.
Proficient in MS Office (including Excel, Outlook, PowerPoint, Visio, & Word), modern communication tools for virtual teams (i.e., MS Teams)

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Dayforce Website LinkedIn All Job Openings 5001 - 10000 employees 👥 HR Tech ☁️ SaaS 🏢 Enterprise 💰 $1G Post-IPO Debt - Dayforce on 2024-03 HR Tech
SaaS
Enterprise Dayforce is a cloud-based human capital management (HCM) platform that unifies payroll, HR, workforce management, time and attendance, benefits, and talent management into a single application. Delivered as a software-as-a-service solution, Dayforce is used by employers to manage the employee lifecycle, payroll processing, scheduling, and regulatory compliance across locations. Data Engineer – Fabric Job not on LinkedIn 🔥 5 minutes ago 🇺🇸 United States – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior 🚰 Data Engineer Azure ETL Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Collaborate with cross-functional teams to understand data and analytical requirements and translate them into effective Microsoft Fabric–based data solutions.
Design, develop and maintain end-to-end data ingestion and transformation processes using Microsoft Fabric Data Pipelines, Dataflows Gen2, and Notebooks.
Format, cleanse, and store data in a structured manner to ensure data quality and accessibility for reporting and analysis, following Medallion Architecture
Work closely with reporting and analytics teams to ensure datasets are accurate, well-modeled, and optimized for Power BI and other analytical workloads.
Create comprehensive developer documentation for data pipelines, processes, and solutions.
Participate in data governance activities to ensure data integrity, security, and compliance.
Utilize source control to manage and track changes to data pipelines and codebase.
Provide level II/III support to troubleshoot and resolve data-related issues and inquiries.
Provide ancillary support for Machine learning (ML) and Artificial Intelligence (AI) processes
Stay updated with industry trends and best practices related to data warehousing, ETL, and data engineering. 🎯 Requirements
Bachelor's degree in Computer Science, Information Technology, or a related field
3+ years experience data engineering, ETL development, and data warehousing.
Experience with Microsoft Fabric, including OneLake, Lakehouses, Data Pipelines, Dataflows Gen2, and/or Notebooks.
Understanding of lakehouse architectures, data modeling, and modern analytics patterns.
Experience with data governance, data quality, and data security frameworks and standards.
Experience in Continuous Integration/Continuous Delivery (“CI/CD”).
Expertise in integrating Fabric solutions with Power BI, Azure services, and external data sources.
Expertise in developing data pipelines to support Machine Learning (ML) and / or Artificial Intelligence (AI) tools is a plus
Excellent verbal and written communication skills, presentation, problem-solving skills and attention to detail.
Self-starter with strong organizational and time management skills, self-directed and able to handle multiple priorities with demanding timeframes.
Ability to work independently and collaboratively with colleagues and staff to create a high-quality results-driven, team-oriented fast paced environment.
Demonstrated ability to use discretion, make sound decisions, and maintain confidentiality.
Willingness and ability to work flexible hours.
Proficient in MS Office (including Excel, Outlook, PowerPoint, Visio, & Word), modern communication tools for virtual teams (i.e., MS Teams) Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Data Engineer 🔥 29 minutes ago Sparibis 11 - 50 💼 Consulting 🔒 Cybersecurity 🏢 Enterprise Website LinkedIn All Job Openings Data Engineer focusing on enterprise data architecture and management at Sparibis. Responsible for data pipelines, ETL/ELT processes, and collaboration with AI/ML teams. 🇺🇸 United States – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior 🚰 Data Engineer AWS ETL Kafka Postgres Python RDBMS Spark SQL SSIS Senior Data Engineer, Secret Clearance 🔥 41 minutes ago Praescient Analytics 51 - 200 🎖️ Defense 🏛️ Government 🤖 Artificial Intelligence Website LinkedIn All Job Openings Senior Data Engineer providing leadership for data engineering under national security applications. Transforming legacy data structures into actionable intelligence within an AWS GovCloud environment. 🇺🇸 United States – Remote 💵 $120k - $165k / year ⏰ Full Time 🟠 Senior 🚰 Data Engineer AWS Cloud ETL SQL Senior Data Architect, Secret Clearance 🔥 41 minutes ago Praescient Analytics 51 - 200 🎖️ Defense 🏛️ Government 🤖 Artificial Intelligence Website LinkedIn All Job Openings Senior Data Architect providing enterprise-level technical leadership for federal background investigation data architectures at Praescient Analytics. Focusing on secure cloud environments and data management practices. 🇺🇸 United States – Remote 💵 $135k - $175k / year ⏰ Full Time 🟠 Senior 🚰 Data Engineer Amazon Redshift AWS Cloud DynamoDB Kafka NoSQL Oracle Postgres Spark Vault Engineer II, Data Platforms 🔥 56 minutes ago AARP 1001 - 5000 🤝 Non-profit 🏥 Healthcare 👥 B2C Website LinkedIn All Job Openings Engineer II at AARP focusing on data platforms and technical solutions. Collaborating with cross-functional teams to deliver valuable technology-based business solutions. 🇺🇸 United States – Remote 💵 $144k - $160k / year 💰 Grant on 2019-08 ⏰ Full Time 🟡 Mid-level 🟠 Senior 🚰 Data Engineer AWS Cloud PySpark Python SQL Data Migrations Specialist 🔥 1 hour ago Imagineeer 11 - 50 🏛️ Government 🔒 Cybersecurity 💼 Consulting Website LinkedIn All Job Openings Data Migration Specialist at Imagineeer supporting the Department of Health and Human Services HR IT migration. Assessing data quality and collaborating with teams for successful data transition. 🇺🇸 United States – Remote 💵 $130k - $135k / year ⏰ Full Time 🟡 Mid-level 🟠 Senior 🚰 Data Engineer Cloud ETL Informatica MySQL Oracle Perl Postgres Python SQL SSIS View More Data Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Is Remote Rocketship legit? Privacy policy Terms of service Job board SEO course OpenClaw job finder Find jobs using your resume Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs