Data Engineer, Azure Data Platform & Pipelines

DLA Piper; New York (NY); Hybrid; USD 101,000 - 160,000; Full time

Benefits offered by this job

Medical/Dental/Vision insurance

401(k)

Job summary

DLA Piper is seeking a Data Engineer, Solutions & Data to design, build, and operate data pipelines that translate raw data into trusted datasets for analytics, reporting, and downstream solutions. The role emphasizes governance, data quality and secure access.

This U.S.-based position sits in any office with a hybrid schedule. You will collaborate with engineers, analysts, and stakeholders in an Agile pod to deliver reusable data assets and scalable ingestion, transformation, and storage using

Qualifications

• Strong SQL and Python proficiency.
• Experience with Azure data services and data warehousing.
• Knowledge of data governance and DataOps concepts.
• Experience collaborating in cross-functional teams in an Agile environment.
• Ability to design scalable data pipelines and data models.

Responsibilities

• Design, build, and operate data pipelines across heterogeneous environments.
• Ingest, transform, and publish data to analytics-ready datasets.
• Consolidate data from multiple sources into centralized integration points.
• Design and implement data pipelines using Azure data technologies to support analytics workloads.
• Collaborate with engineers, analysts, and stakeholders in sprint-based delivery.

Skills

SQL and Python

Azure data services

Data warehousing & governance

Scripting/automation (PowerShell)

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

Job description

DLA Piper is seeking a Data Engineer, Solutions & Data to design, build, and operate data pipelines that translate raw data into trusted datasets for analytics, reporting, and downstream solutions. The role emphasizes governance, data quality and secure access.

This U.S.-based position sits in any office with a hybrid schedule. You will collaborate with engineers, analysts, and stakeholders in an Agile pod to deliver reusable data assets and scalable ingestion, transformation, and storage using