Azure Data Engineer: Data Pipelines & Governance

DLA Piper; Pennsylvania; 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 that translate raw data into trusted datasets for analytics and reporting. Responsibilities include consolidating data from multiple sources into a centralized integration point, implementing governance and SLAs, and enabling secure access for analytics.

Hybrid work across U.S. offices is available, with a minimum of 3 years of data engineering experience and proficiency in SQL, Python, and Azure

Qualifications

• High School or GED required.
• Bachelor's degree preferred in Computer Science, Engineering, or related field.
• 3 years of data engineering or data platform experience.
• Proficiency in SQL and Python.
• Experience with Azure data services and data warehousing.

Responsibilities

• 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 centralized integration point and manage mappings/ transformations.

Skills

SQL

Python

Azure Data Factory

Azure Databricks

Azure Event Hubs

SSIS

Azure Synapse Analytics

PowerShell

Java/Scala/Go

DataOps

Education

High School or GED

Bachelor's Degree in CS/Engineering

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 and reporting. Responsibilities include consolidating data from multiple sources into a centralized integration point, implementing governance and SLAs, and enabling secure access for analytics.

Hybrid work across U.S. offices is available, with a minimum of 3 years of data engineering experience and proficiency in SQL, Python, and Azure