Data Engineer

DLA Piper is a bold, exceptional, collaborative, and supportive firm where our people are the backbone, heart, and soul. This role offers the opportunity to engage in meaningful work and grow your career in a dynamic environment.

About the role

The Data Engineer, Solutions & Data designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics, reporting, and downstream solutions. The role focuses on operationalizing pipelines with governance and service expectations (SLAs), improving data quality and reusability, and enabling secure access to integrated data in support of business initiatives.

Location

This position can sit in any of our U.S. offices and offers a hybrid work schedule.

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 (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.
• 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

• Proficiency in SQL and Python.
• Experience with data pipeline tooling and cloud data services (Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS).
• Data warehousing experience (Azure Synapse Analytics) and strong fundamentals in data modeling, warehousing, and governance.
• Scripting/automation skills (PowerShell and related tooling) for platform operations and troubleshooting.
• Preferred experience includes familiarity with additional programming languages such as Java, Scala, or Go; integrating data from multiple enterprise source systems into a central SQL-based integration layer; and familiarity with DataOps concepts.

Qualifications

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

Essential Job Expectations

• Effectively communicate, verbally and in writing, with clients, lawyers, business professionals, and third parties.
• Produce deliverables, answer phone calls, and reply to correspondence in an efficient and responsive manner.
• Provide timely, accurate, and quality work product; meet deadlines and perform work duties as required.
• Foster positive work relationships and comply with all firm policies and practices.
• Engage in both physical and sedentary activity, such as working at a computer for extended periods, participating in digital/virtual conference calls, and attending meetings as needed.
• Work under pressure and manage competing demands in a fast-paced environment.
• Perform all other duties, tasks, or projects as assigned.

Physical Demands

Sedentary work: Exerting up to 10 pounds of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects, including the human body. Sedentary work involves sitting most of the time.

Work Environment

The individual selected for this position may have the opportunity for a hybrid work arrangement comprised of remote and in-office work.

Pay

The firm’s expected hiring range for this position is $100,787 - $160,255 depending on the candidate’s geographic market location. The compensation offered will also depend on the candidate’s experience, skills, educational and professional background, and overall qualifications.

Benefits

We offer a comprehensive package of benefits including medical, dental, vision insurance, and 401(k).