Hybrid Data Engineer for Analytics Pipelines

DLA Piper; Palo Alto (CA); Hybrid; USD 101,000 - 160,000; Full time

Benefits offered by this job

Health insurance

Hybrid work model

401(k)

Job summary

DLA Piper is seeking a Data Engineer to design, build, and operate data pipelines and integration processes for analytics and reporting. The role emphasizes governance, data quality, and secure access to integrated data to support business initiatives.

You will consolidate data from multiple sources into a central SQL-based integration point and enable consistent downstream consumption. The candidate will design and implement pipelines with Azure data services, build data warehousing, and ensure

Qualifications

• 3 years of experience in data engineering and/or data platform engineering.
• High School or GED required.
• Bachelor's Degree in Computer Science, Engineering, or related field preferred.

Responsibilities

• Build and operationalize data pipelines across heterogeneous environments (SLAs).
• Consolidate data from multiple sources into a centralized integration point and manage transformations.
• Design and implement data pipelines using Azure data technologies (Azure Data Factory, Databricks, Event Hubs, SSIS).
• Build and maintain data warehousing capabilities (Azure Synapse Analytics) to support analytics and reporting.

Skills

SQL

Python

Azure Data Factory

Azure Databricks

Azure Event Hubs

SSIS

Azure Synapse Analytics

Data modeling

Governance

PowerShell

Java

Scala

Go

DataOps

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

Job description

DLA Piper is seeking a Data Engineer to design, build, and operate data pipelines and integration processes for analytics and reporting. The role emphasizes governance, data quality, and secure access to integrated data to support business initiatives.

You will consolidate data from multiple sources into a central SQL-based integration point and enable consistent downstream consumption. The candidate will design and implement pipelines with Azure data services, build data warehousing, and ensure