Opportunity Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list. Find me work
dataroles

Data Engineer

Manatt, Phelps & Phillips, LLP Open
New York BostonLos Angeles +2 Full-time Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at Manatt, Phelps & Phillips, LLP. New York · full-time · $160,000–$190,000 base.

SalaryStated by Manatt, Phelps & Phillips, LLP
$160,000 – $190,000
Base salary for this role, in USD per year, as published in the posting.
This role, from Manatt, Phelps & Phillips, LLPOur estimate for the market: $130,500–$190,000Median $152,500
Above the market median of $152,500 for mid-level data engineering roles in New York.
Worked out from 33 postings that stated pay, median $152,500. Last updated Nov 5, 2026.
RoleData Engineering
SeniorityMid-level
LocationNew York
EmploymentFull-time
Base pay$160,000–$190,000
PostedNov 5, 2026
Also hiring inBoston, Los Angeles, Tampa, Washington
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build and maintain ELT pipelines moving data among customer, finance, billing and legal systems
  • Create Microsoft Fabric solutions spanning Lakehouse, warehouse and semantic-layer designs
  • Write transformation logic in T-SQL, Python or PySpark for notebooks and stored procedures
  • Keep SQL Server reliable by tuning queries, managing access, and maintaining backup and failover plans
  • Set up data checks, error alerts and performance monitoring across Fabric and SQL Server

What you bring

  • At least five years working in data engineering, data warehousing and SQL Server administration
  • Strong SQL Server operations skills, including query analysis, indexing and database upkeep
  • Hands-on background building Lakehouse and warehouse solutions with Microsoft Fabric
  • Experience creating ETL or ELT pipelines in Azure Data Factory or a comparable platform
  • Proficiency with Python or PySpark for cloud data processing

Who this fits

This mid-level role suits an engineer who combines data pipeline development with hands-on SQL Server administration and security-conscious design. You’ll work on-site three days each week and remotely for two, with availability outside standard hours for critical issues.

From the employer

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).

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering$160k+

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.