Hybrid Data Engineer: Pipelines & Analytics Platform

DLA Piper; San Francisco (CA); Hybrid; USD 100,787 - 160,255; Full time

Benefits offered by this job

Hybrid work schedule

Medical insurance

Dental insurance

Vision insurance

401(k)

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, reporting, and downstream solutions. The role emphasizes governance, data quality, and secure access to integrated data to support business initiatives.

You'll consolidate data from multiple sources into a central SQL-based integration point, perform field mappings and transformations, and work with Azure data

Qualifications

• 3 years of experience in data engineering or data platform engineering.
• Experience building and operating data pipelines and data integrations.
• Proficient in SQL and Python.
• Experience with Azure data services and data warehousing.
• Ability to collaborate in Agile teams.

Responsibilities

• Build and operationalize data pipelines across heterogeneous environments with governance and SLAs.
• Design and implement data pipelines using Azure data technologies to ingest, process, and deliver data.
• Develop data warehousing capabilities (Azure Synapse Analytics) to support analytics and reporting.
• Identify and resolve data quality, latency, and security issues; monitor pipelines for reliability.
• Collaborate with engineers and analysts to deliver reusable data assets for sprint-based delivery.

Skills

SQL

Python

Azure Data Factory

Azure Databricks

Azure Event Hubs

SSIS

Azure Synapse Analytics

PowerShell

Java

Scala

Go

DataOps concepts

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

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, reporting, and downstream solutions. The role emphasizes governance, data quality, and secure access to integrated data to support business initiatives.

You'll consolidate data from multiple sources into a central SQL-based integration point, perform field mappings and transformations, and work with Azure data