Data Engineer
Morgan Lewis
Philadelphia, PA · Posted October 19, 2026
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Where Philadelphia, PA ranks
Where Philadelphia, PA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #3Cities with the most jobs that do not need a four-year degree in the Northeast208 jobs · of 36
- #3Cities with the most jobs that do not need a four-year degree in the Mid-Atlantic208 jobs · of 47
- #3Cities hosting the most business conferences in the Northeast26 conferences · of 9
- #3Cities hosting the most business conferences in the Mid-Atlantic26 conferences · of 12
- #4Best cities for software and engineering jobs in the Northeast231 openings · of 52
- #5Cities hosting the most staffing & human capital conferences3 conferences · of 8
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
Data & Analytics jobs · Top Data & Analytics employers · All rankings
Pay compared with the market
This listing does not state pay. Across 204 open data engineer listings that state pay, the middle half runs $112,000 to $160,000 and the median is $136,500.
Listed pay is what employers advertise, not what people are paid.
How AI is used in this kind of work
Among database architects, AI is already used for a large share of the tasks. Measured exposure for database architects: 58% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
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About the job
Morgan, Lewis & Bockius LLP, a leading global law firm with offices in major commercial, legal, and governmental hubs worldwide, is seeking a Data Engineer. Reporting to the Data Warehouse Manager, the Data Engineer is responsible for supporting the Firm’s data services, with a focus on data integration, data warehousing, SQL development, ETL/ELT processes, data pipeline development and support, troubleshooting, and modernization initiatives.
This position will reside in our Philadelphia office with a hybrid in-office/remote working schedule.
Responsibilities
Contribute to the Firm’s SQL Server/SSIS-based ETL processes and cloud data platforms, including Azure and Microsoft Fabric.
Develop, support, and modernize data integration and warehousing solutions using SQL Server, SSIS, Azure SQL, Azure Data Factory (ADF), Microsoft Fabric, and Fabric Data Factory/Data Flows (FDF).
Support data warehouse and OLTP environments, including data ingestion, transformation, dimensional modeling, data quality, performance optimization, and integration.
Collaborate with Business Analysts, Data Architects, Developers, DBAs, and other IT teams to define and implement data.
Analyze data sources, interfaces, and dependencies and develop data flow diagrams, ERDs, source-to-target mappings, data lineage, and other technical documentation.
Design and support data integration solutions considering transaction volumes, data availability and timeliness, regulatory and retention requirements, security, privacy, and system dependencies.
Troubleshoot, diagnose, and resolve production data, database, and integration issues, coordinating with other IT teams as needed.
Develop and maintain SSIS packages, Azure Data Factory and Fabrice Data Factory pipelines, SQL Server objects.
Education and experience
A bachelor’s degree from four-year college or university and a minimum of 5 years of experience, including 3 years of SQL development experience.
Hands-on experience with Azure Data Factory (ADF), Fabric Data Factory (FDF), including pipeline development, data integration, transformation, orchestration, and integration with on-premises and cloud data sources as well as Lakehouses for FDF.
Working knowledge of Microsoft Fabric and modern cloud data warehouse architectures, including Fabric Data Warehouse, Lakehouse, OneLake and analytics services.
Experience designing and implementing cloud-based ETL/ELT solutions using Microsoft Azure and Fabric.
Experience with Online Transaction Processing (OLTP) using Microsoft SQL Server
Understanding of Data Warehouse Design including Data Marts, Multidimensional database design, Fact Tables, Star and Snow-flake, Schemas.
Hands-on experience in SQL and stored procedure tuning, database reorganization.
Strong verbal and written communication skills.
Self-starter and strategic thinker with problem solving skills.
Computer skills including; MS Office (MS Word, PowerPoint, Excel)
Certifications: recommended but not required:
Microsoft Certified Solutions Expert (MCSE): Data Management and Analytics
DP-700 – Fabric Data Engineer Associate
DP-600 – Fabric Analytics Engineer Associate
#LI-Hybrid
Morgan, Lewis & Bockius LLP is committed to equal employment opportunity and providing reasonable accommodations to applicants with physical and/or mental disabilities. We value inclusion and solicit applications from all qualified applicants without regard to race, color, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, veteran status, gender identity, genetic information, or any other characteristic protected by federal, state, or local law.
Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, we will consider for employment qualified applicants with arrest and conviction records.
California Applicants : Pursuant to the California Consumer Privacy Act, the following link contains the Firm's California Consumer Privacy Act Privacy Notice for Candidates which explains the categories of personal information that we collect and the purposes for which we use such personal information. CCPA Privacy Notice for Candidates
Morgan, Lewis & Bockius, LLP reasonably accommodates applicants and employees who need them to perform the essential functions of the job because of disability, religious belief, or other reason protected by applicable law. If you believe you need a reasonable accommodation during the application process, please contact Talent Acquisition at 888.534.5003 or talent.acquisition@morganlewis.com
If hired, y our employment relationship with the firm will be on an "at-will" basis, meaning that the firm may modify the terms and conditions of your employment at any time, and that either you or the firm will be free to end the relationship at any time with or without cause and with or without advance notice, although reasonable notice would be expected.