Enterprise Data Engineer

Enterprise Data Engineer is a hybrid full-time role at Jenner in Chicago, IL, USA, posted 6 Oct 2026.

COMPANY OVERVIEWJenner & Block LLP is a law firm with a fearless reputation and global reach, high-level problem solvers in litigation, government controversies, investigations, regulatory challenges, and complex corporate transactions. With offices in Century City, Chicago, London, Los Angeles, New York, San Francisco, and Washington, DC, the firm represents a wide range of clients, counseling Fortune 100 companies, large privately held corporations, major nonprofits, top universities, private equity investors, and Native American tribes. Consistently recognized as a firm that stands up for its values with its commitment to justice and community service, Jenner has been named the No. 1 pro bono firm 13 times in the United States by The American Lawyer.POSTION SUMMARYJenner & Block is seeking an experienced Enterprise Data Engineer to join our Information Technology team. In this role, you will design, build, and maintain the data pipelines and infrastructure that power firm-wide reporting and analytics. Working primarily within the Microsoft Fabric ecosystem, you will serve as a key contributor to the architecture and evolution of the firm's Enterprise Data Repository, partnering closely with data engineers, IT leadership, and governance stakeholders to deliver reliable, scalable data solutions across the firm.ESSENTIAL JOB FUNCTIONSDesign, build, and maintain end-to-end data pipelines that ingest structured and semi-structured data from source systems including Elite 3E Cloud, Chrome River, Intapp suite, SharePoint, and other firm applicationsDevelop and manage batch and incremental data ingestion workflows using Microsoft Fabric Data Factory pipelines and related orchestration tools; implement robust error handling, retry logic, alerting, and logging frameworks across all pipeline componentsMonitor pipeline performance, identify bottlenecks, and optimize throughput, latency, and resource utilization; collaborate with application owners and vendors to define and maintain data contracts, API integrations, and file-based data feedsCollaborate with peer data engineers on the architecture, design, and evolution of the firm's Enterprise Data Repository “EDR”, serving as the authoritative data store for firm-wide reporting and analytics.Develop and enforce data modeling standards including dimensional modeling, star schema design, and normalized transactional schemas as appropriate to use case; manage EDR schema lifecycle including versioning, migration scripts, and backward compatibility considerationsPartner with the Database Administrator and Data Engineers to optimize query performance, indexing strategies, and resource governance within the EDR environment; maintain comprehensive data dictionaries and metadata documentation to support data literacy across the organizationServe as a Microsoft Fabric platform engineer, assisting with workspace configuration, capacity management, and governance settingsBuild and manage Lakehouses, Warehouses, Dataflows Gen2, and Notebooks within Microsoft Fabric to support unified analytics and BI workloads; implement OneLake architecture patterns to support hybrid cloud-to-on-premises integration scenariosManage integration between Microsoft Fabric and Power BI semantic layers, enabling self-service analytics capabilities across the firm; stay current with Microsoft Fabric release cadence and evaluate new features for adoption that advance firm data strategiesCollaborate with the Data Governance team to establish and enforce data quality rules, validation frameworks, and automated anomaly detection within the data pipeline ecosystemImplement and maintain data lineage tracking tools (e.g., Purview or equivalent) and support data privacy and security controls including column-level and row-level security, data masking, and access auditingPartner with IT Managers, peer Software / Data Engineers and the Database Administrator to align data infrastructure with broader application and reporting goals; participate in the team's change process, contributing technical proposals and peer reviewsCreate and maintain thorough technical documentation including architecture diagrams, pipeline runbooks, data flow maps, and operational procedures; provide technical guidance and knowledge transfer to team members, and communicate project status, risks, and outcomes clearly to IT leadership and stakeholdersQUALIFICATIONS AND REQUIREMENTSBachelor's degree in Computer Science, Information Systems, Data Engineering, or a related discipline; or equivalent professional experience; minimum 5 years of professional experience in a data engineering, data architecture, or closely related roleDemonstrable hands-on experience with Microsoft Fabric in a production environment; experience designing and maintaining enterprise-grade data pipelines with clearly defined SLAs, monitoring, and operational runbooksStrong proficiency in SQL for complex querying, ETL/ELT development, and performance tuning across relational database platforms including Microsoft SQL Server; proficiency in Python or similar scripting languages for data transformation, automation, and toolingSolid understanding of data modeling concepts including dimensional modeling, normalization, and schema design for analytics workloads; experience with data quality frameworks, lineage tools, and metadata management practicesMicrosoft Fabric (Lakehouse, Warehouse, Data Factory, Dataflows Gen2, Notebooks, OneLake, Real-Time Intelligence); Azure (Data Factory, Blob Storage, Data Lake Storage, Key Vault); Microsoft SQL Server (on-premises and cloud)T-SQL (advanced), Python (intermediate to advanced), PySpark (working knowledge), C# (intermediate); Microsoft Purview familiarity preferredGit/Azure DevOps, documentation standards, change management workflows; Power BI semantic model integration and dataset managementPREFERRED QUALIFICATIONSExperience in a legal, professional services, or highly regulated industry environment; familiarity with legal technology platforms such as Elite 3E, Chrome River, or the Intapp suite; Microsoft certifications such as DP-700 or DP-203 preferredWorking knowledge of the Microsoft Power Platform (Power BI, Power Apps, Power Automate) and SharePoint integration patterns; experience with .NET development, hybrid on-premises and cloud data architectures, and familiarity with ISO 27001 controls or similar security and compliance frameworksDisclaimerAdditional DutiesThis job description is intended to provide a general overview of the primary duties and responsibilities for the position. It is not an exhaustive list of all tasks or responsibilities that may be assigned. The role may include additional duties, specialized projects, and other tasks as required. The firm reserves the right to modify or adjust the responsibilities to meet business needs.Physical RequirementsCandidates must be able to meet the physical demands of the position, including the ability to commute to the office as required on designated in-office days based on the position. The firm is committed to providing reasonable accommodations in accordance with the Americans with Disabilities Act (ADA) for qualified individuals with disabilities.Eligibility RequirementIn compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Jenner will not sponsor applicants for work visas for this position.EEO StatementJenner & Block LLP is an equal opportunity employer. Recruitment and employment decisions are not made on the basis of an individual’s race, color, creed, religion, national origin, ancestry, citizenship status, age, non-disqualifying physical or mental disability or medical condition, genetic information, sexual orientation, sex, gender identity and/or expression, pregnancy, childbirth, breastfeeding or related medical conditions, arrest record, matr