Hybrid Data Engineer: Azure Data Pipelines

DLA Piper; San Francisco (CA); Hybrid; USD 101,000 - 160,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) retirement plan

Job summary

DLA Piper is seeking a Data Engineer, Solutions & Data to design, build, and operate data pipelines for analytics and reporting. The role focuses on governance, quality, and secure data access, consolidating data from multiple sources into a central SQL-based integration point. You will work with Azure data services to enable analytics-ready data and support cross-functional teams.

The position offers a hybrid work schedule, with preference for candidates in U.S. offices.

Qualifications

• 3 years of experience in data engineering or data platform engineering.
• Experience with Azure data technologies and SQL-based integration.
• Proficient in SQL and Python with strong data modeling fundamentals.

Responsibilities

• Build and operationalize data pipelines across heterogeneous environments.
• Consolidate data from multiple sources into a central SQL-based integration point.
• Design and implement data pipelines using Azure data technologies to ingest and deliver data.
• Collaborate with engineers and analysts in an Agile Pod Model.

Skills

SQL

Python

Azure Data Factory

Azure Databricks

Azure Event Hubs

SSIS

Azure Synapse Analytics

PowerShell

Java

Scala

Go

Education

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

High School or GED

Tools

Azure Data Factory tooling

Azure Databricks tooling

Azure Synapse tooling

Job description

DLA Piper is seeking a Data Engineer, Solutions & Data to design, build, and operate data pipelines for analytics and reporting. The role focuses on governance, quality, and secure data access, consolidating data from multiple sources into a central SQL-based integration point. You will work with Azure data services to enable analytics-ready data and support cross-functional teams.

The position offers a hybrid work schedule, with preference for candidates in U.S. offices.