Job description

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. Let’s see what we can achieve. Together. Summary The Data Engineer, Solutions & Data role 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. In current initiatives, data engineering includes consolidating data from multiple sources into a central SQL-based integration point and performing field mapping and transformations, so solution teams can consume data consistently. Location This position can sit in any of our U.S. offices and offers a hybrid work schedule. Responsibilities Data Pipeline Engineering & Integration 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. Data Platform & Storage 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. Data Quality, Reliability & Operations 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. Collaboration & Delivery (Agile Pod Model) 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. Desired Skills Proficiency in SQL and Python. Data pipeline tooling and cloud data services experience (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; 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. The measures of success for this role include delivering data pipelines with trusted, quality data with agreed service levels, enabling faster onboarding of new data and more consistent analytics/AI consumption and creating reduced manual effort through reusable integrations and standardized transformations, improved data reliability and operational readiness. Minimum Education High School or GED Preferred Education 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). Essential Job Expectations All DLA Piper employees are expected to demonstrate excellence in how we serve our clients and develop our people, upholding our firm values as part of our culture. Specific expectations include: Communicate effectively, both verbally and in writing, with clients, lawyers, business professionals, and external audiences. Produce high-quality work and respond to correspondence in an efficient, timely, and professional manner. Meet deadlines, manage competing priorities, and commit to meeting high standards. Comply with firm policies and procedures. Maintain confidences as required in a law firm environment. Physical Demands Sedentary work: This is primarily sedentary work, requiring occasional exertion of up to 10 pounds of force to lift, carry, push, pull, or move objects. The role involves sitting for extended periods, with occasional walking and standing, and occasional travel, both domestic and international. Work Environment    The selected candidate will have the opportunity for a hybrid work arrangement combining remote and in-office work. The specific arrangement will be determined at the time of hiring and may be modified at the firm s discretion. Compensation & Benefits The firm s expected hiring range for this position is $100,787 - $160,255, depending on the candidate s geographic location, experience, skills, educational background, and overall qualifications. DLA Piper offers a comprehensive benefits package, including medical, dental, and vision insurance, 401(k) retirement plan, and additional benefits. Application Process Interested candidates must apply directly online. Application materials sent via email will not be accepted. Reasonable accommodations may be made upon request to enable individuals with disabilities to perform the essential functions of this position or participate in the selection process. For accommodation requests, please contact careers us.dlapiper.com . Agency applications will not be considered. No immigration sponsorship is available for this position. Disclaimer This job description provides a concise overview of the role and is not intended to describe all work elements that may be performed. It should not serve as the sole criteria for personnel decisions. Job duties, requirements, and expectations may be modified at the firm s discretion at any time. This job description does not alter the at-will nature of employment. We are committed to excellence in how we serve our clients and develop our people. #LI-GB1 #LI-Hybrid DLA Piper is an equal opportunity employer. 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. Job applicant poster viewing center .

Requirements

Must-haves

This position can sit in any of our U.S. offices and offers a hybrid work schedule.
Data Pipeline Engineering & Integration
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.
Data Platform & Storage
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.
Data Quality, Reliability & Operations
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.
Collaboration & Delivery (Agile Pod Model)

Nice-to-haves

Proficiency in SQL and Python.
Data pipeline tooling and cloud data services experience (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.
High School or GED
Preferred Education
Bachelor s Degree in Computer Science, Engineering, or related field.
Essential Job Expectations
All DLA Piper employees are expected to demonstrate excellence in how we serve our clients and develop our people, upholding our firm values as part of our culture. Specific expectations include:
Communicate effectively, both verbally and in writing, with clients, lawyers, business professionals, and external audiences.
Produce high-quality work and respond to correspondence in an efficient, timely, and professional manner.
Meet deadlines, manage competing priorities, and commit to meeting high standards.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sqlazureagilepythonjavagoai

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)