Azure Data Engineer: Pipelines & Governance

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

Job summary

DLA Piper is seeking a Data Engineer, Solutions & Data to design, build and operate data pipelines for analytics, governance and secure access across business initiatives. You will consolidate data from multiple sources into a central SQL-based integration point, and work with Azure data services to deliver analytics-ready datasets.

In this hybrid role, you’ll collaborate with engineers, analysts and stakeholders in a cross-functional pod, contributing reusable data assets and ensuring SLAs and

Qualifications

• Bachelor's degree or equivalent in CS/Engineering or related field.
• At least 3 years of data engineering or data platform experience.
• Proficiency in SQL and Python.
• Experience with Azure data services and data warehousing.
• Knowledge of data governance and data quality practices.

Responsibilities

• Design, build and operate data pipelines across environments.
• Consolidate data from multiple sources into a centralized integration point.
• Develop and maintain Azure-based data warehousing and analytics solutions.
• Identify and resolve data quality and governance issues; monitor pipelines.

Skills

SQL

Python

PowerShell

Java/Scala/Go

DataOps concepts

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, Solutions & Data to design, build and operate data pipelines for analytics, governance and secure access across business initiatives. You will consolidate data from multiple sources into a central SQL-based integration point, and work with Azure data services to deliver analytics-ready datasets.

In this hybrid role, you’ll collaborate with engineers, analysts and stakeholders in a cross-functional pod, contributing reusable data assets and ensuring SLAs and