Azure Data Pipeline Engineer for Analytics & Governance

DLA Piper; Massachusetts; Hybrid; USD 101,000 - 160,000; Full time

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 that translate raw data into trusted datasets for analytics and reporting. The role emphasizes governance, SLAs, data quality, and secure access to data to support business initiatives.

The role consolidates data from multiple sources into a central SQL-based integration point, using Azure Data Factory, Databricks, Event Hubs, and Synapse, with cross-functional

Qualifications

• High School or GED is the minimum education requirement.
• Bachelor's degree in Computer Science, Engineering, or related field is preferred.
• Minimum of 3 years of data engineering and/or data platform engineering experience.

Responsibilities

• Build and operationalize data pipelines across heterogeneous environments with governance principles and SLAs.
• Develop ingestion, transformation, and publication pipelines to deliver analytics-ready data.
• Consolidate data from multiple sources into a central SQL-based integration point and manage field mappings.
• Collaborate with engineers, analysts, and stakeholders in an Agile pod model to deliver data solutions.

Skills

SQL

Python

Azure Data Factory

Azure Databricks

Azure Event Hubs

SSIS

Azure Synapse Analytics

Data modeling

Governance

PowerShell

Java

Scala

Go

DataOps

Cross-functional teamwork

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 and integration processes that translate raw data into trusted datasets for analytics and reporting. The role emphasizes governance, SLAs, data quality, and secure access to data to support business initiatives.

The role consolidates data from multiple sources into a central SQL-based integration point, using Azure Data Factory, Databricks, Event Hubs, and Synapse, with cross-functional