Azure Data Pipeline Engineer for Analytics

DLA Piper; Seattle (WA); Hybrid; USD 101,000 - 160,000; Full time

Job summary

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

Responsibilities include implementing Azure-based pipelines (Azure Data Factory, Databricks, SSIS, Event Hubs) and managing data warehousing (Azure Synapse) for analytics workloads, in a hybrid U.S. office setting.

Qualifications

• High School or GED as a minimum education requirement.
• Bachelor's degree in CS/Engineering or related field preferred.
• 3+ years of data engineering or data platform experience.

Responsibilities

• Design, build and operate data pipelines across heterogeneous environments with SLAs.
• Consolidate data from multiple sources into a centralized SQL-based integration point.
• Design and implement data pipelines using Azure data technologies and warehouse capabilities.
• Identify, troubleshoot and resolve data quality, latency, security issues; monitor pipelines.

Skills

SQL

Python

PowerShell

Java

Scala

Go

Data modeling

Data governance

Education

High School or GED

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

Tools

Azure Data Factory

Azure Databricks

Azure Synapse Analytics

SSIS

Azure Event Hubs

Job description

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

Responsibilities include implementing Azure-based pipelines (Azure Data Factory, Databricks, SSIS, Event Hubs) and managing data warehousing (Azure Synapse) for analytics workloads, in a hybrid U.S. office setting.