Hybrid Data Engineer: Azure Data Pipelines & Governance

DLA Piper; Phoenix (AZ); Hybrid; USD 100,787 - 160,255; Full time

Job summary

DLA Piper is seeking a Data Engineer, Solutions & Data who will design, build, and operate data pipelines to deliver trusted, analytics-ready datasets. You will focus on governance, data quality, and secure access while consolidating data from multiple sources into a central SQL-based integration point for analytics and AI use across the firm. The role supports hybrid work and can sit in any U.S.

office. You will collaborate with engineers, analysts, and stakeholders in an agile pod model to

Qualifications

• Experience designing and operating data pipelines with governance and SLAs.
• Strong SQL and Python fundamentals.
• Exposure to Azure data services and data warehousing.
• Collaborative, Agile pod team experience.

Responsibilities

• Build and operationalize data pipelines across diverse environments.
• Ingest, transform, and publish analytics-ready data.
• Consolidate data from multiple sources into a central integration point.
• Design data warehousing with Azure Synapse Analytics to support analytics.

Skills

SQL

Python

Azure Data Factory

Azure Databricks

Azure Event Hubs

SSIS

Azure Synapse Analytics

Data modeling

Data governance

PowerShell

Java

Scala

Go

DataOps

Education

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

High School or GED

Tools

SQL Server

Job description

DLA Piper is seeking a Data Engineer, Solutions & Data who will design, build, and operate data pipelines to deliver trusted, analytics-ready datasets. You will focus on governance, data quality, and secure access while consolidating data from multiple sources into a central SQL-based integration point for analytics and AI use across the firm. The role supports hybrid work and can sit in any U.S.

office. You will collaborate with engineers, analysts, and stakeholders in an agile pod model to