Data Engineer

Job Overview We are seeking a Data Engineer to join K&L Gates. The Data Engineer (Fabric) is a junior contributor in Enterprise Applications, Data, and AI Platforms, building the Microsoft Fabric data platform. They develop pipelines, Lakehouses, and semantic models powering analytics, reporting, and AI solutions across Finance, HR, Client Growth, and Legal Operations. They use Fabric Data Factory, Notebooks, Lakehouse, and Data Warehouse to create scalable, reliable, business‑aligned data products, including pipelines supporting Azure AI Foundry and retrieval‑augmented generation solutions. In an Agile DevOps environment, they translate complex business needs into governed, reliable data products. They report to the Senior Manager, Data Engineering and must be self‑starters with independent and team work skills, excellent communication, and client service commitment. Key Relationships Key relationships include: Director, Enterprise Applications, Data, and AI Platforms; Senior Manager, Data Engineering; Senior Manager, Automation and Development; Senior Manager, Enterprise Applications; Senior Applications Architect; Senior Data Architect; Team Lead, Workflow and Automation; Cloud Platform Engineer; Project Manager; Business Data Experts and Business Data Sponsors. Essential Duties Designing, developing, and maintaining data pipelines and advanced transformations using Microsoft Fabric tools for ingestion, orchestration, automation, and performance optimization. Designing and implementing Microsoft Fabric Lakehouse and Data Warehouse solutions on OneLake, choosing suitable technology for performance, structure, and business needs. Ensuring unified storage governance and enabling cross‑domain data sharing. Applying modern data modeling practices, including dimensional and Medallion approaches, and build optimized Power BI datasets using DAX and Power Query. Implementing data quality, validation, monitoring, and error‑handling processes to ensure reliability and trust in data products. Deploying and managing data solutions through CI/CD pipelines in Azure DevOps or GitHub Actions while creating and maintaining technical documentation and templates. Participating in Agile ceremonies and track work using Azure DevOps boards, including sprint planning, backlog refinement, and work item management. Designing and maintaining data pipelines supporting Azure AI Foundry workloads, including grounding datasets, vector indexing preparation, and feature data for retrieval‑augmented generation. Translating business requirements into technical specifications and scalable data solutions, working with Business Data Experts and Sponsors to validate understanding. Serving as a model for the Enterprise Applications team philosophy, advocating enterprise processes, procedures, security, standards, and knowledge‑first support. Participating in testing activities for assigned solutions, including unit testing, integration testing, and supporting UAT to confirm data accuracy and functional needs. Utilizing AI tools like Microsoft Copilot and Claude while following governance standards, ensuring responsible usage, data classification, and compliant model implementation. Contributing to the design, development, or upkeep of AI‑enabled solutions on the Microsoft platform stack, following the governed portfolio model. Qualifications Hold Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field; equivalent professional experience is acceptable. Obtain relevant Microsoft certifications, such as DP‑600, DP‑203, or AI‑900. Understand data architecture, schema design, Medallion Architecture, performance tuning, and Data Mesh concepts, including domain ownership and federated governance principles. Demonstrate knowledge of Microsoft Purview for data governance, metadata management, unified catalog, and sensitivity labeling within the Microsoft Fabric ecosystem. Maintain a secure, professional workspace and be willing to travel up to 10% for offices, vendors, conferences, or seminars. Participate in scheduled release windows and production support events, occurring 2–4 times quarterly, including evenings or weekends with prior notice. Demonstrate proficiency translating business requirements into technical specifications and visually communicating solutions using diagrams, whiteboarding, and collaborative design tools. Demonstrate effective collaboration and communication abilities across offices and time zones, engaging diverse personalities with professionalism. 2+ years’ hands‑on experience delivering Microsoft Fabric solutions, including Data Factory, Dataflow Gen2, Notebooks, Lakehouse, and Data Warehouse. Demonstrate SQL and Python skills for transformation and automation, including Spark, and experience designing CI/CD pipelines with Azure DevOps or GitHub Actions. Possess practical experience with Power BI, including DAX and Power Query (M language), with the ability to build and optimize semantic models. Possess experience utilizing AI‑powered tools and preparing data pipelines for Azure AI Foundry model grounding and retrieval‑augmented generation (RAG) solutions. Possess experience with real‑time analytics and event‑driven architecture using Microsoft Fabric Real‑Time Intelligence (Eventstream, KQL databases). Compensation Salary $112,000 - $209,000 per year. The compensation will be determined during the interview process and will vary based on prior experience, relevant expertise, current business needs, and market factors. 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 Equal Employment Opportunity The Firm is an equal opportunity employer. It is the policy of the Firm that employment decisions shall be based on merit, qualifications and competence. Employment practices will not be influenced or affected by virtue of a person’s race (including traits associated with race, including hair texture and protective hairstyles such as afros, braids, locks, and twists), religion, creed, color, national origin, ancestry, citizenship, physical disability, mental disability, medical condition, genetic information, marital status, sex, pregnancy, childbirth, breastfeeding, gender, parental status, gender identity, gender expression, sexual orientation, age, familial status, domestic violence victim status, military and veteran status, or any other characteristic protected by applicable federal, state, or local law. This policy governs all aspects of employment including, without limitation, recruiting, hiring, compensation, benefits, promotion, assignment, and dismissal. In addition, the Firm’s policy is to provide an environment that is free of prohibited harassment of any kind including, without limitation, that which is based on sex, race, age, disability, ethnic background, or any other category protected by law (including the categories listed above). The Firm complies with federal and state disability laws and makes reasonable accommodations for applicants and employees with disabilities. If you require reasonable accommodation in completing this application, interviewing, or otherwise participating in the employee selection process, please contact View email address on click.appcast.io. #J-18808-Ljbffr K&L Gates