Azure Data Engineer — Pipelines & Analytics

DLA Piper; Massachusetts; Hybrid; USD 101,000 - 160,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) retirement plan

Comprehensive benefits package

Job summary

DLA Piper is seeking a Data Engineer, Solutions & Data to design, build, and operate data pipelines, translating raw data into trusted datasets for analytics and reporting. The role emphasizes governance, data quality, and secure access to integrated data to support business initiatives.

The position sits in the U.S. with a hybrid schedule; work across Azure data services like Data Factory, Databricks, Event Hubs, and Synapse to consolidate sources and enable reliable insights.

Qualifications

• 3+ years of data engineering experience in pipelines, integration, and operations.
• Strong SQL and Python proficiency.
• Experience with Azure data services and data warehousing.
• Knowledge of governance, data quality, and DataOps concepts.
• Ability to work in cross-functional teams and Agile delivery.

Responsibilities

• Build and operationalize data pipelines across heterogeneous environments.
• Develop ingestion, transformation, and publication of data pipelines.
• Consolidate data from multiple sources into a centralized integration point.
• Design and implement data pipelines using Azure data technologies.
• Build and maintain data warehousing capabilities to support analytics.
• Identify, troubleshoot data issues and monitor pipeline performance.
• Collaborate with engineers, analysts, and stakeholders to deliver data solutions.

Skills

SQL

Python

Azure Data Factory

Azure Databricks

Azure Event Hubs

SSIS

Azure Synapse Analytics

PowerShell

Java

Scala

Go

DataOps concepts

Cross-functional teamwork

Education

High School or GED

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

Job description

DLA Piper is seeking a Data Engineer, Solutions & Data to design, build, and operate data pipelines, translating raw data into trusted datasets for analytics and reporting. The role emphasizes governance, data quality, and secure access to integrated data to support business initiatives.

The position sits in the U.S. with a hybrid schedule; work across Azure data services like Data Factory, Databricks, Event Hubs, and Synapse to consolidate sources and enable reliable insights.