Data Engineer - Azure Data Pipelines & Governance

DLA Piper; Philadelphia (Philadelphia County); Hybrid; USD 101,000 - 160,000; Full time

Job summary

DLA Piper is seeking a Data Engineer, Solutions & Data who designs, builds, and operates data pipelines to translate raw data into trusted, analytics-ready datasets for reporting and downstream solutions.

The role emphasizes governance, data quality, secure access, and consolidation of data from multiple sources into a central SQL-based integration point to enable faster analytics and AI consumption across initiatives.

Qualifications

• 3 years of experience in data engineering and/or data platform engineering (pipelines, integration, and operational support).
• High School or GED
• Bachelor's Degree in Computer Science, Engineering, or related field.
• Proficiency in SQL and Python.
• Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS).
• Data warehousing experience (Azure Synapse Analytics) and strong fundamentals in data modeling, warehousing, and governance.
• Scripting/automation skills (PowerShell and related tooling) for platform operations and troubleshooting.
• Preferred experience includes familiarity with additional programming languages such as Java, Scala, or Go; experience integrating data from multiple enterprise source systems into a central SQL-based integration layer; and familiarity with DataOps concepts and operating in cross-functional teams that include data engineering personas.

Responsibilities

• Build and operationalize data pipelines across heterogeneous environments with governance and SLAs.
• Ingest, transform, and publish pipelines to deliver analytics-ready data.
• Consolidate data from multiple sources into a centralized integration point and manage mappings.
• Design pipelines using Azure data technologies to ingest, process, and deliver data from APIs and systems.
• Build data warehousing with Azure Synapse Analytics to support analytics workloads.
• Identify, troubleshoot, and resolve data issues; monitor and improve pipeline reliability.
• Collaborate with engineers, analysts, and stakeholders to deliver data solutions in Agile pods.
• Produce reusable data assets and integration components across initiatives.

Skills

SQL

Python

Azure Data Factory

Azure Databricks

Azure Event Hubs

SSIS

Azure Synapse Analytics

Data Modeling

Governance

PowerShell

Java

Scala

Go

DataOps

Education

Bachelor's Degree in Computer Science, Engineering, or related field

High School or GED

Tools

Azure Data Factory

Azure Databricks

Azure Event Hubs

SSIS

Azure Synapse Analytics

SQL Server

Job description

DLA Piper is seeking a Data Engineer, Solutions & Data who designs, builds, and operates data pipelines to translate raw data into trusted, analytics-ready datasets for reporting and downstream solutions.

The role emphasizes governance, data quality, secure access, and consolidation of data from multiple sources into a central SQL-based integration point to enable faster analytics and AI consumption across initiatives.