Data Engineer: Azure Data Platform & Pipelines

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

Benefits offered by this job

Hybrid work schedule

Benefits package

Job summary

DLA Piper LLP is seeking a Data Engineer, Solutions & Data to design, build, and operate data pipelines and integration mechanisms that translate raw data into analytics-ready datasets across the firm's data platforms. The role emphasizes governance, data quality, and secure access to integrated data to support business initiatives.

You will consolidate data from multiple sources using Azure-based tools (Data Factory, Databricks, Event Hubs, SSIS) and contribute to governance, quality, and

Qualifications

• Minimum 3 years of data engineering and/or data platform engineering experience.
• Experience designing, building and operating data pipelines and integrations.
• Familiarity with Azure data services and data warehousing concepts.

Responsibilities

• Design, build and operate data pipelines across heterogeneous environments with governance and SLAs.
• Ingest, transform, and publish data to deliver analytics-ready datasets.
• Consolidate data from multiple sources into a central integration point and manage mappings and transformations.
• Collaborate with engineers, analysts, and stakeholders to support sprint-based delivery.

Skills

SQL

Python

Data pipelines

Azure data services

Data modeling

Governance

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 LLP is seeking a Data Engineer, Solutions & Data to design, build, and operate data pipelines and integration mechanisms that translate raw data into analytics-ready datasets across the firm's data platforms. The role emphasizes governance, data quality, and secure access to integrated data to support business initiatives.

You will consolidate data from multiple sources using Azure-based tools (Data Factory, Databricks, Event Hubs, SSIS) and contribute to governance, quality, and