Data Engineer – Hybrid Azure Data Platform & Pipelines

DLA Piper; Atlanta (GA); Hybrid; USD 101,000 - 160,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k)

Job summary

DLA Piper is seeking a Data Engineer, Solutions & Data to design, build, and operate data pipelines for analytics and reporting. The role emphasizes governance, data quality, and secure access to integrated data for business initiatives.

The position involves consolidating data from multiple sources into a central SQL-based integration point, with a focus on Azure Data Factory, Azure Databricks, and Azure Synapse Analytics. 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).
• Proficiency in SQL and Python with experience building data pipelines.
• Experience with Azure data technologies and data warehousing.

Responsibilities

• Build and operationalize data pipelines across heterogeneous environments (SLAs).
• Design, implement, and maintain data pipelines using Azure data services.
• Consolidate data from multiple sources into a central integration point and manage field mappings.

Skills

SQL

Python

PowerShell

Java/Scala/Go

Education

High School or GED

Bachelor's Degree in Computer Science, Engineering, or related field

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 for analytics and reporting. The role emphasizes governance, data quality, and secure access to integrated data for business initiatives.

The position involves consolidating data from multiple sources into a central SQL-based integration point, with a focus on Azure Data Factory, Azure Databricks, and Azure Synapse Analytics. A hybrid work schedule is available across U.S. offices.