Azure Data Engineer: Pipelines & Analytics Ready

dlapiper; United States; Hybrid; USD 110,000 - 150,000; Full time

Job summary

DLA Piper is seeking a Data Engineer, Solutions & Data to design, build, and operate data pipelines and integration processes that translate raw data into trusted datasets for analytics and reporting. The role focuses on governance, data quality, and secure access across Azure-based tools.

Based in the United States with a hybrid schedule, you will collaborate with cross-functional teams to deliver analytics-ready data and reusable components that support multiple initiatives and faster

Qualifications

• Requires 3+ years in data engineering or data platform roles.
• Experience building data pipelines and data integration with governance.
• Proficient in SQL and Python; familiar with data modeling concepts.
• Scripting/automation skills with PowerShell or similar.
• Experience with Azure data services and cloud-based data warehousing.

Responsibilities

• Design, build, and operate data pipelines and integration processes.
• Consolidate data sources into centralized SQL-based point with mappings.
• Ensure data quality, performance, and security; monitor pipelines.
• Collaborate with engineers, analysts, and stakeholders in Agile pods.
• Provide reusable data assets and components for multiple initiatives.

Skills

SQL

Python

Azure Data Factory

Azure Databricks

Azure Event Hubs

SSIS

Azure Synapse

PowerShell

Java

Go

Education

High School or GED

Bachelor's Degree

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 to design, build, and operate data pipelines and integration processes that translate raw data into trusted datasets for analytics and reporting. The role focuses on governance, data quality, and secure access across Azure-based tools.

Based in the United States with a hybrid schedule, you will collaborate with cross-functional teams to deliver analytics-ready data and reusable components that support multiple initiatives and faster