Hybrid Data Engineer: Azure Data Factory & Pipelines

DLA Piper LLP; Northern (KY); Hybrid; USD 101,000 - 160,000; Full time

Job summary

DLA Piper is seeking a Data Engineer, Solutions & Data to design, build, and operate data pipelines that produce analytics-ready data. You will consolidate data from multiple sources, implement governance, and ensure secure access for stakeholders in a hybrid work setting.

Candidates should have 3+ years in data engineering, strong SQL and Python, experience with Azure data services (ADF, Databricks, Event Hubs, SSIS) and Azure Synapse, plus data warehousing and data quality practices.

Qualifications

• 3+ years of data engineering and/or data platform experience.
• Strong SQL and Python proficiency.
• Experience with Azure data services and data warehousing.
• Knowledge of data governance and data quality practices.
• Bachelor's degree preferred; HS/GED minimum.

Responsibilities

• Build and operationalize data pipelines across heterogeneous environments with governance and SLAs.
• Consolidate data from multiple sources into a centralized integration point.
• Design and implement data pipelines using Azure data technologies to deliver analytics-ready data.
• Identify and resolve data quality, latency, and security issues; monitor pipelines.

Skills

SQL

Python

Education

High School or GED

Bachelor's degree (CS/Engineering)

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 that produce analytics-ready data. You will consolidate data from multiple sources, implement governance, and ensure secure access for stakeholders in a hybrid work setting.

Candidates should have 3+ years in data engineering, strong SQL and Python, experience with Azure data services (ADF, Databricks, Event Hubs, SSIS) and Azure Synapse, plus data warehousing and data quality practices.