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Closed listing

Manatt, Phelps & Phillips, LLP

Data Engineer

NY, United States

$160,000 to $190,000 USD / year

This opening has closed.

The original listing is kept below for reference.

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About employer

Job details

Pay: $160,000 to $190,000 USD / year
Posting language: English
Posted: Nov 4, 2026

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Original job description

Archived listing. The details below describe a past opening.

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 Firm’s groundbreaking approach - bringing together legal services, advocacy and business strategy - differentiates Manatt from its competitors and positions the Firm to provide a distinct and compelling value proposition.

The Opportunity We 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 Azure Data Factory (ADF) or comparable data integration platforms.
Cloud Platforms: Hands-on experience developing Lakehouse and Data Warehouse solutions within the Microsoft Fabric ecosystem.
SQL Programming: Advanced proficiency in developing and troubleshooting complex T-SQL scripts, stored procedures, functions, and triggers.
DevOps & Deployment: Experience with Git, Azure DevOps, and pipeline deployment processes. Familiarity with Fabric CI/CD, deployment pipelines, GitHub integration, data modeling, Power BI semantic models, and Fabric capacity and cost monitoring.
Python & PySpark: Proficiency in Python or PySpark for cloud-based data transformation and processing.

Certifications – Highly Desired

Microsoft Certified: Fabric Data Engineer Associate (DP-700)
Microsoft Certified: Azure Data Engineer Associate (DP-203)
Microsoft Certified: Administering Relational Databases (DP-300)

Hybrid Workplace Expectations

On-Site Schedule: Work on-site three days per week for team collaboration, sprint planning, solution design, development, and support.
Remote Work Schedule: Work remotely two days per week while maintaining strong communication and meeting delivery commitments.
On-Call Support: Willingness to be available outside standard business hours to troubleshoot and resolve critical technical issues as needed.

The base annual pay range for this role is between $160K-$190K. The base pay to be offered will vary and depend on skills and qualifications, experience, location and will also take into account internal equity. A full range of medical, financial and/or other benefits dependent on the position will also be offered. EEO/AA EMPLOYER/Veterans/Disabled

Manatt is an equal opportunity employer, dedicated to a policy of non-discrimination in employment on any basis including race, color, physical or mental disability, religion, creed, national origin, citizenship status, ancestry, sex or gender (including gender identity, gender expression, status as a transgender or transsexual individual, pregnancy, childbirth, or related medical conditions), age (over 40), genetic information, past, current, or prospective service in the uniformed services, sexual orientation, political activity or affiliation, genetic or and any other protected classes or characteristic protected under applicable federal, state, or local law. Consistent with the American Disabilities Act, applicants may request accommodations needed to participate in the application process.

This employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new employee’s Form I-9 to confirm work authorization. IMPORTANT: If the Government cannot confirm that you are authorized to work, this employer is required to provide you written instructions and an opportunity to contact SSA and/or DHS before taking adverse action against you, including terminating your employment.

Employers may not use E-Verify to pre-screen job applicants or to re-verify current employees and may not limit or influence the choice of documents presented for use on the Form I-9. In order to determine whether Form I-9 documentation is valid, this employer uses E-Verify’s photo screening tool to match the photograph appearing on some permanent resident and employment authorization cards with the official U.S. Citizenship and Immigration Services’ (USCIS) photograph. If you believe that your employer has violated its responsibilities under this program or has discriminated against you during the verification process based upon your national origin or citizenship status, please call the Office of Special Counsel at 1-800-255-7688 (TDD: 1-800-237-2515).

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Skills

Microsoft SQL Server
Data engineering
ERP
SQL
Implement ICT recovery system
Data warehouse
Python
PySpark
Monitor system performance
Statistics
Regulatory compliance
Data protection
Data warehousing
Database administration
Data analysis
Apply information security policies
Microsoft Azure Data Factory
Troubleshooting
DevOps
Git
Microsoft Azure
CI/CD
GitHub
Data modelling
Microsoft Power BI
Cost management
DP
Collaboration
Communication skills
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