Data Engineer

DLA Piper LLP; San Diego (CA); Hybrid; USD 101,000 - 160,000; Full time

Benefits offered by this job

Hybrid work schedule

Benefits package

Job summary

DLA Piper LLP is seeking a Data Engineer, Solutions & Data to design, build, and operate data pipelines and integration mechanisms that translate raw data into analytics-ready datasets across the firm's data platforms. The role emphasizes governance, data quality, and secure access to integrated data to support business initiatives.

You will consolidate data from multiple sources using Azure-based tools (Data Factory, Databricks, Event Hubs, SSIS) and contribute to governance, quality, and

Qualifications

• Minimum 3 years of data engineering and/or data platform engineering experience.
• Experience designing, building and operating data pipelines and integrations.
• Familiarity with Azure data services and data warehousing concepts.

Responsibilities

• Design, build and operate data pipelines across heterogeneous environments with governance and SLAs.
• Ingest, transform, and publish data to deliver analytics-ready datasets.
• Consolidate data from multiple sources into a central integration point and manage mappings and transformations.
• Collaborate with engineers, analysts, and stakeholders to support sprint-based delivery.

Skills

SQL

Python

Data pipelines

Azure data services

Data modeling

Governance

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

Azure Synapse Analytics

PowerShell

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.

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.

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.

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 [e-mail].

This position is not eligible for immigration sponsorship or support.