Data Engineer: Azure Data Pipelines & Platform

DLA Piper; Town of Texas (WI); 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 and integration processes that translate raw data into trusted, analytics-ready datasets for analytics, reporting, and downstream solutions. Focus is on operationalizing pipelines with governance, quality, and secure access to integrated data.

The role emphasizes consolidating data from multiple sources into a central SQL-based integration point and leveraging Azure Data Factory, Databricks, Event

Qualifications

• Proficiency in SQL and Python.
• Data pipeline tooling and cloud data services experience in Azure stack (Data Factory, Databricks, Event Hubs, SSIS).
• Data warehousing experience with Azure Synapse Analytics; strong data modeling, warehousing, and governance fundamentals.
• Scripting/automation skills (PowerShell).
• Familiarity with Java, Scala, or Go; experience integrating data from multiple enterprise sources; and DataOps concepts.

Responsibilities

• Build and operationalize data pipelines across heterogeneous environments, aligning to governance principles and service expectations (SLAs).
• Build and maintain ingestion, transformation, and publication of pipelines to deliver analytics-ready data.
• Consolidate data from multiple sources into a centralized integration point and manage field mappings and transformations for consistent downstream consumption.
• Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS) to ingest, process, and deliver data from sources such as APIs and other systems.
• Build and maintain data warehousing capabilities (Azure Synapse Analytics) to support analytics and reporting workloads.
• Identify, troubleshoot, and resolve data issues including data quality, integrity, latency, and security concerns; apply monitoring and operational best practices to keep pipelines reliable and performant.
• Contribute to data quality and governance practices, including profiling datasets, defining quality rules, and establishing monitoring/remediation approaches.
• Work cross-functionally with engineers, analysts, and stakeholders to understand requirements and deliver data solutions that support sprint-based delivery.
• Support pod-level delivery by producing reusable data assets and integration components that can be leveraged across multiple initiatives.

Skills

SQL

Python

Azure Data Factory

Azure Databricks

Azure Event Hubs

SSIS

Azure Synapse Analytics

Data Warehousing

DataOps

PowerShell

Java/Scala/Go

Education

High School or GED

Bachelor's Degree in CS/Engineering

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, analytics-ready datasets for analytics, reporting, and downstream solutions. Focus is on operationalizing pipelines with governance, quality, and secure access to integrated data.

The role emphasizes consolidating data from multiple sources into a central SQL-based integration point and leveraging Azure Data Factory, Databricks, Event