Data Engineer - Azure Data Pipelines & Governance

DLA Piper; Houston (TX); 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 data integration processes for analytics and reporting. The role focuses on governance, data quality, and secure access to unified data to support business initiatives.

In current initiatives, data engineering includes consolidating data from multiple sources into a central SQL-based integration point and performing field mapping and transformations.

Qualifications

• Minimum education: High School or GED.
• 3 years of data engineering experience.
• Bachelor's degree preferred in CS, Engineering, or related field.

Responsibilities

• Build and operationalize data pipelines across heterogeneous environments to meet SLAs.
• Ingest, transform, and publish pipelines to deliver analytics-ready data.
• Consolidate data from multiple sources into a centralized integration point and manage field mappings.
• Design and implement data pipelines using Azure data technologies (ADF, Databricks, Event Hubs, SSIS).
• Build and maintain data warehousing with Azure Synapse Analytics for analytics workloads.
• Identify, troubleshoot, and resolve data quality, latency, and security issues; monitor pipelines for reliability.
• Collaborate with engineers, analysts, and stakeholders to deliver data solutions in an Agile pod model.
• Produce reusable data assets and integrations across initiatives.

Skills

SQL

Python

Azure Data Factory

Azure Databricks

Azure Event Hubs

SSIS

Azure Synapse Analytics

PowerShell

Java

Go

Education

High School or GED

Bachelor's Degree in CS/Engineering or related

Tools

Azure Data Factory

Azure Databricks

Azure Synapse Analytics

Job description

DLA Piper is seeking a Data Engineer, Solutions & Data to design, build, and operate data pipelines and data integration processes for analytics and reporting. The role focuses on governance, data quality, and secure access to unified data to support business initiatives.

In current initiatives, data engineering includes consolidating data from multiple sources into a central SQL-based integration point and performing field mapping and transformations.