Cloud Data Engineer—Azure Pipelines & Analytics

DLA Piper; Wilmington (DE); Hybrid; USD 100,787 - 160,255; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k)

Job summary

DLA Piper is seeking a Data Engineer, Solutions & Data to design, build, and operate data pipelines that translate raw data into analytics-ready datasets with governance and SLAs. The role focuses on consolidating data from multiple sources into a central SQL-based integration point and enabling secure access for analytics and downstream solutions.

The position sits in any U.S. office with a hybrid work schedule and involves collaborating with engineers, analysts, and stakeholders to deliver

Qualifications

• 3 years of experience in data engineering and/or data platform engineering (pipelines, integration, and operational support).
• Bachelor's degree in CS, engineering, or related field is preferred.
• Experience designing and operating data pipelines and data integration.

Responsibilities

• Build and operationalize data pipelines across heterogeneous environments.
• Design and implement data pipelines using Azure data technologies (Azure Data Factory, Databricks, Event Hubs).
• Consolidate data from multiple sources into a centralized integration point and manage field mappings and transformations.

Skills

SQL

Python

Java

Scala

Go

DataOps concepts

Cross-functional collaboration

Education

High School or GED

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

Tools

Azure Data Factory

Azure Databricks

Azure Event Hubs

SSIS

Azure Synapse Analytics

PowerShell

Job description

DLA Piper is seeking a Data Engineer, Solutions & Data to design, build, and operate data pipelines that translate raw data into analytics-ready datasets with governance and SLAs. The role focuses on consolidating data from multiple sources into a central SQL-based integration point and enabling secure access for analytics and downstream solutions.

The position sits in any U.S. office with a hybrid work schedule and involves collaborating with engineers, analysts, and stakeholders to deliver