K&L Gates · 1 day ago
Developer II - Data Engineer, Microsoft Fabric Specialist
K&L Gates is a fully integrated global law firm seeking an experienced Data Engineer with a strong focus on Microsoft Fabric to design, implement, and maintain enterprise data solutions. The role involves collaborating with various business units to deliver scalable data products and applying modern data engineering practices within an Agile DevOps environment.
LegalReal Estate
Responsibilities
Design, develop, and maintain data pipelines using Microsoft Fabric Data Factory for data ingestion, transformation, and orchestration
Build Dataflow Gen2 processes to prepare and enrich data from multiple sources for analytical consumption
Develop and manage Fabric Notebooks (Python, Spark, SQL) for advanced transformations and automation
Deploy, monitor, and optimize data pipelines using CI/CD processes in Azure DevOps or GitHub Actions
Implement robust data quality, validation, and monitoring processes
Design and implement Data Warehouses and Lakehouses within Microsoft Fabric to meet analytical and operational needs
Understand when to use Lakehouse vs. Warehouse based on data volume, structure, performance requirements, and business use cases
Apply best practices for data modeling (star/snowflake schema, dimensional modeling, and semantic models)
Ensure alignment with enterprise architecture and data governance standards
Develop Power BI semantic models and datasets using DAX and Power Query for reporting and self-service analytics
Collaborate with BI and business teams to ensure data products meet stakeholder needs
Optimize Power BI performance by tuning data models, queries, and refresh strategies
Support advanced analytics, forecasting, and AI initiatives through well-structured and high-quality data sources
Work within a DevOps Agile framework, participating in sprint planning, stand-ups, and retrospectives
Use version control and continuous integration tools to manage and deploy data assets
Collaborate closely with cross-functional teams including software engineers, BI developers, and business analysts
Create detailed technical documentation, reusable templates, and automated deployment scripts
Partner with stakeholders in Finance, HR, Client Growth, Operations, and IT to understand business needs and deliver tailored data solutions
Translate business requirements into technical specifications and implement scalable data solutions accordingly
Promote best practices for data accessibility, quality, and governance across departments
Qualification
Required
Bachelor's degree in Computer Science, Information Systems, Data Engineering, or 10 years of working experience in related field
Minimum of 2 years of hands-on experience implementing Microsoft Fabric (Data Factory, Dataflow Gen2, Notebooks, Data Warehouse, Lakehouse)
Proven experience developing and deploying Fabric Data Factory pipelines with CI/CD automation
Strong working knowledge of Power BI, DAX, and Power Query (M language)
Expertise in SQL and Python for data transformations, query optimization, and automation
Solid understanding of data architecture principles, including data modeling, schema design, and performance tuning
Experience applying DevOps and Agile methodologies in data engineering projects
Ability to choose the right Fabric tools (Lakehouse, Warehouse, Dataflows, Notebooks, Power BI) to solve specific business problems
Familiarity with Data Mesh principles, including domain-oriented data ownership, federated governance, and self-service data platforms
Proficient in implementing Medallion Architecture (Bronze, Silver, Gold layers) within Microsoft Fabric for scalable and maintainable data solutions
Excellent communication and collaboration skills, with experience working across multiple business domains
Preferred
Microsoft certifications such as: Microsoft Certified: Fabric Analytics Engineer Associate, Microsoft Certified: Azure Data Engineer Associate
Experience with GitHub Actions or Azure DevOps YAML pipelines for CI/CD automation
Familiarity with data governance frameworks, metadata management, and security best practices
Exposure to real-time analytics, event-driven architecture, or AI/ML data preparation
Benefits
Medical/Prescription Drug Coverage (including a Health Savings Account feature)
Back-up Child/Elder Care and access to a caregiving concierge
Dental Insurance
Wellness Program
Vision Insurance
Pre-tax Commuting Benefits
401(k) Retirement Plan and Profit Sharing
Business Travel Accident Insurance
Short- and Long-term Disability Protection
Pet Insurance
Life Insurance (including Basic, Supplemental, Spouse, Child, and Accidental Death and Dismemberment)
Health Advocacy Services
Paid Time Off (25-30 days per year)
Identity Protection/Restoration and Fraud Insurance
Parental Leave (18 weeks of which 6 are paid; short-term disability may provide additional paid time off)
Student loan refinancing options and access to a student loan concierge service
Paid Holidays (12)
Addiction Resources
Family Building Benefits
Breast Milk Delivery and Lactation Support Services
Flexible Spending Accounts
Employees also may be eligible to receive bonuses and certain expense reimbursements
Employee Assistance Program
Professional Development and CLE Credit Opportunities
529 Deductions
Relocation
Accident Insurance
Employee Referral Program
Critical Illness Insurance
Hybrid/Remote Work Opportunities
Hospital Indemnity Insurance
Perks including: Technology, Entertainment, and Travel Discount Programs
Bereavement Leave
All other benefits (such as leaves of absence) required by law
Company
K&L Gates
At K&L Gates, we foster an inclusive and collaborative environment across our fully integrated global platform that enables us to diligently combine the knowledge and expertise of our lawyers and policy professionals to create teams that provide exceptional client solutions.
H1B Sponsorship
K&L Gates has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (3)
2023 (1)
2022 (6)
2021 (2)
2020 (19)
Funding
Current Stage
Late StageRecent News
bloomberglaw.com
2025-12-06
2025-11-04
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