Hybrid Data Engineer – Azure Data Platform & Pipelines

DLA Piper; San Diego (CA); Hybrid; USD 100,787 - 160,255; Full time

Benefits offered by this job

Medical, dental, vision insurance

401(k) plan

Job summary

DLA Piper is seeking a Data Engineer, Solutions & Data to design, build, and operate data pipelines enabling analytics and AI initiatives. The role emphasizes governance, data quality, and secure access across Azure-based platforms.

You will consolidate data from multiple sources into a central SQL-based integration point and collaborate with cross‑functional teams in a hybrid work environment. The ideal candidate has 3+ years of data engineering experience, strong SQL and Python skills, and

Qualifications

• Strong SQL and Python skills required.
• Experience with Azure data services and data warehousing.
• Familiarity with DataOps concepts and cross-functional teams.
• Knowledge of data governance and metrics.

Responsibilities

• Build and operationalize data pipelines across heterogeneous environments to meet SLAs.
• Consolidate data from multiple sources into a centralized integration point and manage field mappings.
• Design and implement data pipelines using Azure data technologies to ingest, process, and deliver data.
• Build and maintain data warehousing capabilities to support analytics workloads.
• Identify and resolve data quality issues and monitor pipelines for reliability.

Skills

SQL

Python

Data tooling

Go / Java / Scala (pref.)

PowerShell

DataOps basics

Education

High School or GED

Bachelor's Degree in CS/Engineering or related

Tools

Azure Data Factory

Azure Databricks

Azure Event Hubs

SSIS

Azure Synapse Analytics

Job description

DLA Piper is seeking a Data Engineer, Solutions & Data to design, build, and operate data pipelines enabling analytics and AI initiatives. The role emphasizes governance, data quality, and secure access across Azure-based platforms.

You will consolidate data from multiple sources into a central SQL-based integration point and collaborate with cross‑functional teams in a hybrid work environment. The ideal candidate has 3+ years of data engineering experience, strong SQL and Python skills, and