Senior Data Engineer – Fabric

Dayforce

Sr. Data Engineer responsible for data solutions leveraging Microsoft Fabric, collaborating with cross-functional teams to support analytics and decision-making.

Posted 7/27/2026full-timeRemote • 🌎 Anywhere in the WorldSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering, including advanced proficiency with Microsoft Fabric, ETL development, and data governance. Capable of leading complex projects, optimizing performance, and ensuring data quality and security across cloud platforms.

Highest-signal resume keywords

Microsoft FabricData EngineeringETL DevelopmentData GovernancePerformance Optimization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data IngestionData TransformationMedallion ArchitectureDelta LakeData ModelingContinuous Integration Continuous Delivery (CI/CD)Apache SparkPySparkData QualityData Security

Soft Skills

Communication SkillsProblem-Solving SkillsOrganizational SkillsTime Management SkillsCollaboration

Tools & Technologies

Power BIAzure ServicesGitMicrosoft OfficeMS TeamsSlack

Industry Keywords

Data WarehousingCloud Data PlatformsDistributed Processing FrameworksOperational Best PracticesData Pipeline

Tech Stack

Tools & technologies

ApacheAzureCloudETLPySparkSpark

About the role

Key responsibilities & impact

Collaborates with cross-functional teams to understand data and analytical requirements and translates them into effective Microsoft Fabric–based data solutions.
Mentors and provides technical leadership to Data Engineers through code reviews, design reviews, knowledge-sharing sessions, and engineering best practices.
Establishes and maintains data engineering standards, reusable frameworks, development patterns, and operational best practices to improve consistency and scalability across the data platform.
Leads root cause analysis and resolution efforts for critical production issues impacting enterprise data pipelines, reporting solutions, and platform operations.
Reviews and provides guidance on solution designs, architecture decisions, and implementation approaches to ensure alignment with enterprise standards and best practices.
Designs, develops, and maintains end-to-end data ingestion and transformation processes using Microsoft Fabric OneLake, Lakehouses, Data Pipelines, Dataflows Gen2, and Notebooks.
Formats, cleanses, and stores data in a structured manner to ensure data quality and accessibility for reporting and analysis, following Medallion Architecture.
Works closely with reporting and analytics teams to ensure datasets are accurate, well-modeled, and optimized for Power BI and other analytical workloads.
Creates comprehensive documentation for data pipelines, processes, and solutions.
Participates in data governance activities to ensure data integrity, security, and compliance.
Utilizes source control to manage and track changes to data pipelines and codebase.
Provides level II/III support to troubleshoot and resolve data-related issues and inquiries.
Provides ancillary support for Machine Learning (ML) and Artificial Intelligence (AI) processes.
Evaluates emerging technologies, industry trends, and architectural patterns related to data engineering, analytics, artificial intelligence, and cloud platforms and provides recommendations for adoption.
Manages and optimizes Microsoft Fabric platform performance by monitoring capacity utilization, query performance, Lakehouse and Warehouse workloads, Delta table maintenance (OPTIMIZE/VACUUM), data partitioning, storage consumption, and pipeline execution to ensure scalable, reliable, and cost-effective data operations.
Develops and maintains monitoring, alerting, and observability solutions for Microsoft Fabric pipelines, notebooks, Lakehouses, Warehouses, semantic models, and related data platform components to ensure operational reliability and rapid issue resolution.
Performs other duties as assigned.

Requirements

What you’ll need

Bachelor's degree in computer science, information technology, or a related field (or equivalent experience).
A minimum of six (6) years of proven experience in data engineering, ETL development, and data warehousing.
Demonstrated experience leading complex data engineering projects from architecture and design through implementation and operational support.
Demonstrated ability to lead through influence, collaboration, and technical expertise, including mentoring Data Engineers and cross-functional technical teams, leading initiatives and workstreams, and driving successful cross-functional outcomes.
Experience establishing engineering standards, governance processes, development frameworks, and operational best practices.
Advanced troubleshooting and performance optimization experience across cloud data platforms, distributed processing frameworks, and enterprise data solutions.
Strong hands-on experience with Microsoft Fabric, including OneLake, Lakehouses, Data Pipelines, Dataflows Gen2, and/or Notebooks.
Solid understanding of Medallion Architecture, Delta Lake concepts, data modeling, and modern analytics patterns.
Experience with data governance, data quality, and data security frameworks and standards.
Solid grasp of Continuous Integration Continuous Delivery (“CI/CD”), including source control, deployment pipelines, and release management practices.
Experience with Git-based source control and collaborative development workflows.
Expertise in integrating Fabric solutions with Power BI, Azure services, and external data sources.
Experience monitoring and tuning cloud-based data platforms for performance, scalability, and cost optimization.
Experience with Apache Spark and PySpark within Microsoft Fabric.
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.
Proficiency in MS Office (including Excel, Outlook, PowerPoint, Visio, & Word) and modern communication tools for virtual teams (e.g., MS Teams, Slack).

Benefits

Comp & perks

Reasonable accommodations for individuals with documented disabilities.
Flexible hours.