Hybrid Azure Data Engineer: Pipelines & Analytics

DLA Piper; Los Angeles (CA); Hybrid; USD 101,000 - 160,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

401(k) retirement plan

Job summary

DLA Piper is seeking a Data Engineer who will design, build, and operate data pipelines, integrating data from multiple sources for analytics and reporting. The role emphasizes governance, data quality, and secure access to datasets to support business initiatives.

You will consolidate data into a central SQL-based point, use Azure Data Factory, Databricks, Event Hubs, and Synapse to enable analytics and AI consumption. Hybrid US-based office presence is available.

Qualifications

• 3 years of data engineering or data platform experience.
• Proficient in SQL and Python.
• Experience with Azure data services and data warehousing.
• Knowledge of data governance, quality, and security practices.

Responsibilities

• Build and operationalize data pipelines across heterogeneous environments with governance and SLAs.
• Consolidate data from multiple sources into a centralized integration point and manage field mappings.
• Design data pipelines using Azure data technologies to ingest, process, and deliver analytics-ready data.
• Maintain data warehousing capabilities to support analytics workloads.
• Identify and resolve data quality issues, monitor reliability, and support cross-functional teams in Agile pods.

Skills

SQL

Python

Azure Data Factory

Azure Databricks

Azure Event Hubs

SSIS

Azure Synapse Analytics

PowerShell

Java

Scala

Go

DataOps

Education

Bachelor's Degree

High School or GED

Tools

Azure Data Factory

Azure Databricks

Azure Event Hubs

SSIS

Azure Synapse Analytics

Job description

DLA Piper is seeking a Data Engineer who will design, build, and operate data pipelines, integrating data from multiple sources for analytics and reporting. The role emphasizes governance, data quality, and secure access to datasets to support business initiatives.

You will consolidate data into a central SQL-based point, use Azure Data Factory, Databricks, Event Hubs, and Synapse to enable analytics and AI consumption. Hybrid US-based office presence is available.