Azure Data Engineer — Pipelines & Governance

DLA Piper; Baltimore (MD); 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 and integration processes that translate raw data into trusted datasets for analytics, reporting, and downstream solutions. The role focuses on governance, data quality, and secure data access, with a central SQL-based integration point and multi-source consolidation.

Involved in Azure-based data engineering, consolidation of data sources, and collaboration with cross-functional teams to deliver

Qualifications

• 3 years of experience in data engineering and/or data platform engineering.
• Experience building and operating data pipelines, integration, and governance.
• Proficiency in SQL and Python for data processing and analytics.
• Familiarity with Azure data services and cloud data warehousing.
• Ability to work in cross-functional teams in an Agile environment.

Responsibilities

• Design, build, and operate data pipelines across heterogeneous environments with SLAs.
• Ingest, transform, and publish data to analytics-ready data stores.
• Consolidate data from multiple sources into a central SQL-based integration point and manage mappings.

Skills

SQL

Python

Azure Data Factory

Azure Databricks

Azure Event Hubs

SSIS

Azure Synapse Analytics

Data modeling

PowerShell

Java/Scala/Go

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 and integration processes that translate raw data into trusted datasets for analytics, reporting, and downstream solutions. The role focuses on governance, data quality, and secure data access, with a central SQL-based integration point and multi-source consolidation.

Involved in Azure-based data engineering, consolidation of data sources, and collaboration with cross-functional teams to deliver