Data Engineer, Solutions & Data: Build Trusted Pipelines (Hybrid)

DLA Piper; United States; Hybrid; USD 101,000 - 160,000; Full time

Benefits offered by this job

Hybrid work schedule

Comprehensive benefits package

Job summary

DLA Piper seeks a Data Engineer, Solutions & Data to design, build, and operate data pipelines that translate raw data into analytics-ready datasets. The role emphasizes governance, data quality, and secure access to integrated data to support business initiatives.

Based in the U.S., the position offers a hybrid work schedule and opportunities to collaborate across agile pods with engineers, analysts, and stakeholders to deliver reusable data assets and scalable solutions.

Qualifications

• Proficiency in SQL and Python.
• Experience with Azure data services and data warehousing.
• Strong collaboration in Agile pod model.

Responsibilities

• Build and operationalize data pipelines across environments with SLAs.
• Ingest, transform, and publish analytics-ready data.
• Consolidate data from multiple sources into a central integration point.
• Design pipelines using Azure data tools and maintain Azure Synapse analytics.
• Collaborate with engineers, analysts, and stakeholders in an Agile pod model.

Skills

SQL

Python

PowerShell

DataOps concepts

Java/Scala/Go familiarity

Education

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

High School or GED

Tools

Azure Data Factory

Azure Databricks

Azure Event Hubs

SSIS

Azure Synapse Analytics

SQL Server

Job description

DLA Piper seeks a Data Engineer, Solutions & Data to design, build, and operate data pipelines that translate raw data into analytics-ready datasets. The role emphasizes governance, data quality, and secure access to integrated data to support business initiatives.

Based in the U.S., the position offers a hybrid work schedule and opportunities to collaborate across agile pods with engineers, analysts, and stakeholders to deliver reusable data assets and scalable solutions.