Hybrid Data Engineer: Azure Pipelines & Governance

DLA Piper; Reston (VA); Hybrid; USD 101,000 - 160,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) retirement plan

Additional benefits

Job summary

DLA Piper is seeking a Data Engineer, Solutions & Data to design, build, and operate data pipelines and integration processes. The role consolidates data from multiple sources into a central SQL-based integration point and ensures governance, data quality, and secure access for analytics initiatives.

The position supports Azure Data Factory, Databricks, SSIS, and Synapse usage, enabling efficient, reliable data delivery and analytics across hybrid teams. A collaborative, agile environment awaits.

Qualifications

• Three years of experience in data engineering or data platform engineering (pipelines, integration, and operational support).
• Design, build, and operate data pipelines and data integration processes for analytics and reporting.
• Experience with Azure data technologies and data warehousing to support analytics workloads.

Responsibilities

• Build and operationalize 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.

Skills

SQL & Python

Azure Data Services

Data modeling & governance

PowerShell scripting

Java/Scala/Go familiarity

DataOps & cross-functional teams

Education

Bachelor's Degree

High School or GED

Tools

Azure Data Factory

Azure Databricks

Azure Event Hubs

SSIS

SQL Server

Job description

DLA Piper is seeking a Data Engineer, Solutions & Data to design, build, and operate data pipelines and integration processes. The role consolidates data from multiple sources into a central SQL-based integration point and ensures governance, data quality, and secure access for analytics initiatives.

The position supports Azure Data Factory, Databricks, SSIS, and Synapse usage, enabling efficient, reliable data delivery and analytics across hybrid teams. A collaborative, agile environment awaits.