Azure Data Engineer: Pipelines & Governance

DLA Piper

Raleigh (NC)

Hybrid

USD 101,000 - 160,000

Full time

5 days ago
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Benefits offered by this job

Medical/dental/vision insurance
401(k) plan

Job summary

DLA Piper is seeking a Data Engineer, Solutions & Data to design, build, and operate data pipelines and integration processes turning raw data into trusted datasets for analytics and reporting.

The role focuses on operationalizing pipelines with governance, improving data quality, and enabling secure access to integrated data to support business initiatives. A hybrid work schedule is available across U.S. offices.

Qualifications

  • 3 years of experience in data engineering and/or data platform engineering (pipelines, integration, and operational support).
  • High School or GED
  • Bachelor's Degree in Computer Science, Engineering, or related field.

Responsibilities

  • Build and operationalize data pipelines across heterogeneous environments, aligning to governance principles and service expectations (SLAs).
  • Build and maintain ingestion, transformation, and publication of pipelines (data engineering practice) to deliver analytics-ready data.
  • Consolidate data from multiple sources into a centralized integration point (e.g., a single SQL Server instance) and manage field mappings and transformations to support consistent downstream consumption.

Skills

SQL
Python
Azure Data Factory
Azure Databricks
Azure Event Hubs
SSIS
Azure Synapse Analytics
Data modeling
Governance
PowerShell
Java
Scala
Go

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
PowerShell

Job description

DLA Piper is seeking a Data Engineer, Solutions & Data to design, build, and operate data pipelines and integration processes turning raw data into trusted datasets for analytics and reporting.

The role focuses on operationalizing pipelines with governance, improving data quality, and enabling secure access to integrated data to support business initiatives. A hybrid work schedule is available across U.S. offices.

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