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Data Engineer

  • NEW YORK, NY, United States

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Job details

Posting language
English
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Original job description

With eleven offices across the United States, 500+ professionals and 350+ business professionals, Manatt, Phelps & Phillips, LLP (www.manatt.com), is a multidisciplinary, integrated national professional services firm known for quality and an extraordinary commitment to clients. The Firms groundbreaking approachbringing together legal services, advocacy and business strategydifferentiates Manatt from its competitors and positions the Firm to provide a distinct and compelling value proposition.#### The OpportunityWe are seeking a Mid-Level Data Engineer with SQL Server Administration (DBA) experience to join our team. In this role, you will be responsible for ELT processes that move critical data across our Customer (CRM), Finance (ERP), Billing, and Legal ecosystems. Reporting to the Data Architect, you will design, build, test, and maintain scalable data pipelines and solutions while adhering to established frameworks, architectural standards, and data governance practices. The Data Engineer will ensure the health, security, and performance of our enterprise Microsoft SQL Server environments. The Data Engineer will work closely with business applications, Infrastructure and Security teams to maintain SQL database high availability, performance and robust disaster recovery.#### Key Responsibilities * Database & Pipeline Integration: Design, develop, and implement data integration pipelines using standard and custom connectors. * Microsoft Fabric Solution Development: Design, build, and deploy end-to-end data solutions on Microsoft Fabric, including Lakehouse, Data Warehouse, and semantic layer architectures. * Responsible for ensuring that all data movement, storage, and processing strictly adhere to client ethical walls, encryption standards, and row/column-level access controls required in a professional services environment. * Data Transformation: Develop production-grade transformation logic using T-SQL, Python, and PySpark within cloud notebooks and stored procedures. * SQL Administration & Tuning: Monitor database health, optimize indexing, tune slow-running queries, and manage transactional replication, backup and recovery strategies, and user permissions. * SQL Server High Availability & Disaster Recovery (HA/DR): Design and manage failover architectures, including Always-On Availability Groups, Failover Clustering, Log Shipping, and Replication. * Performance Tuning & Optimization: Monitor system performance and optimize queries using execution plans, indexing strategies, statistics, and bottleneck analysis. * Security & Compliance: Manage user access, audit permissions, enforce role-based security, and implement data encryption standards. * Backup & Recovery Administration: Schedule, test, and maintain full, differential, and transaction log backups to support business continuity and data protection. * Quality & Monitoring: Implement automated data validation, error handling, alerting, and performance monitoring across SQL Server and Microsoft Fabric environments.#### Qualifications * Five years of hands-on experience in data engineering, data warehousing, and SQL Server database administration. Experience working with regulated data in Legal, Tax, Finance, or Healthcare environments is highly desirable. * Data Analysis: Experience interpreting and working with business application data across Customer, Finance, Billing, and Legal systems. * Data Security: Strong architectural mindset that treats security and compliance as foundational design requirements, not an afterthought * DBA Expertise: Strong hands-on experience with SQL Server administration, including query profiling, indexing strategies, execution plan analysis, and database maintenance. * Database Maintenance & Operations: Experience installing, configuring, patching, upgrading, and maintaining Microsoft SQL Server environments. * Data Integration: Direct experience building ETL/ELT pipelines using Azur Data

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