GCS Recruitment

Data Engineer

Wilmington, Delaware

Sponsorship not specified$101k-$160kDetected 16 days ago

JavaScalaPowerShellSQLDatabricksAzurePlatform EngineeringData EngineeringCollaborationPipeline Integrity

About the role

DLA Piper is, at its core, bold, exceptional, collaborative and supportive.
Our people are the backbone, heart and soul of our firm.
Wherever you are in your professional journey, DLA Piper is a place you can engage in meaningful work and grow your career.

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.
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 (e.g., Azure Synapse Analytics) to support analytics and reporting workloads.
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.

Successfully meet deadlines, expectations, and perform work duties as required;
Jobs are sedentary if walking and standing are required only occasionally and all other sedentary criteria are met.
Proficiency in SQL and Python.
Bachelor's Degree in Computer Science, Engineering, or related field.
Minimum Years Of Experience
3 years of experience in data engineering and/or data platform engineering (pipelines, integration, and operational support).

Preferred experience includes familiarity with additional programming languages such as Java, Scala, or Go
experience integrating data from multiple enterprise source systems into a central SQL-based integration layer
and familiarity with DataOps concepts and operating in cross-functional teams that include data engineering personas.

Reasonable accommodations may be made upon request to permit individuals with a disability to perform the essential functions and responsibilities of the position or to participate in the job selection process.
The compensation offered for employment will also be dependent on other factors including the candidate's experience, skills, educational and professional background, and overall qualifications.
We offer a comprehensive package of benefits including medical/dental/vision insurance, and 401(k).
Any relocation benefits, if any, are provided only where a relocation is required at the firm's direction and in accordance with applicable policy and law.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

This listing is sourced directly from GCS Recruitment's careers page and normalized into a canonical job model.