Senior Data Engineer - Azure Pipelines & Analytics (Hybrid)

DLA Piper; Washington (District of Columbia); Hybrid; USD 100,787 - 160,255; Full time

Benefits offered by this job

Medical, dental, vision insurance

401(k)

Job summary

DLA Piper is seeking a Data Engineer, Solutions & Data who designs, builds, and operates data pipelines translating raw data into trusted datasets for analytics and reporting. This role focuses on governance, data quality, and secure access to integrated data to support business initiatives, with central SQL-based integration and transformations.

Based in the U.S. with a hybrid schedule, you will work across Azure Data Factory, Databricks, Event Hubs, and Synapse Analytics, delivering

Qualifications

• Proficiency in SQL and Python.
• Experience with Azure data services and data warehousing.
• Experience working in Agile teams and in data governance.

Responsibilities

• Build and operate data pipelines across heterogeneous environments, aligning to governance principles and SLAs.
• Consolidate data from multiple sources into a centralized integration point and manage field mappings and transformations.
• Design and implement data pipelines using Azure data technologies to ingest, process, and deliver analytics-ready data.

Skills

SQL

Python

Azure Data Factory

Azure Databricks

Azure Event Hubs

SSIS

Azure Synapse Analytics

PowerShell

Java/Scala/Go

DataOps concepts

Education

High School or GED

Bachelor's Degree in CS/Engineering/Related

Tools

Azure Data Factory

Azure Databricks

Azure Event Hubs

SSIS

Azure Synapse Analytics

Job description

DLA Piper is seeking a Data Engineer, Solutions & Data who designs, builds, and operates data pipelines translating raw data into trusted datasets for analytics and reporting. This role focuses on governance, data quality, and secure access to integrated data to support business initiatives, with central SQL-based integration and transformations.

Based in the U.S. with a hybrid schedule, you will work across Azure Data Factory, Databricks, Event Hubs, and Synapse Analytics, delivering