Hybrid Data Engineer: Azure Pipelines & Data Platform

DLA Piper; Austin (TX); Hybrid; USD 101,000 - 160,000; Full time

Benefits offered by this job

Medical/dental/vision insurance

401(k)

Job summary

DLA Piper is seeking a Data Engineer, Solutions & Data to design, build, and operate data pipelines and data integration processes for analytics, reporting, and downstream solutions.

The role focuses on operationalizing pipelines with governance and SLAs, improving data quality, and enabling secure access to data across initiatives. It consolidates data from multiple sources into a central SQL-based integration point.

Qualifications

• 3 years of experience in data engineering and/or data platform engineering (pipelines, integration, and operational support).
• High School or GED as minimum education.
• Bachelor's Degree in Computer Science, Engineering, or related field preferred.

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 (data engineering practice) to deliver analytics-ready data.
• Consolidate data from multiple sources into a centralized integration point (e.g., a single SQL Server instance) and manage field mappings and transformations to support consistent downstream consumption.

Skills

SQL

Python

PowerShell

Java

Scala

Go

DataOps concepts

Education

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

High School or GED

Tools

Azure Data Factory

Azure Databricks

Azure Event Hubs

SSIS

Azure Synapse Analytics

SQL Server

Job description

DLA Piper is seeking a Data Engineer, Solutions & Data to design, build, and operate data pipelines and data integration processes for analytics, reporting, and downstream solutions.

The role focuses on operationalizing pipelines with governance and SLAs, improving data quality, and enabling secure access to data across initiatives. It consolidates data from multiple sources into a central SQL-based integration point.