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About the Role

LPL Financial is seeking an Engineer II, Data to build and operate cloud-native data solutions at enterprise scale, combining AWS cloud engineering, data pipeline development, platform reliability, and AI-assisted software development. The role involves designing, building, supporting, and optimizing cloud-native data solutions within the Enterprise Data Integration Framework (EDIF), supporting data ingestion, validation, transformation, enrichment, and standardization using modern cloud and AI technologies.

Responsibilities

Design, develop, and maintain cloud-based data ingestion and transformation pipelines.
Support onboarding of new vendor and enterprise data sources.
Optimize processing performance for large-volume datasets.
Build reusable ingestion, validation, and transformation frameworks.
Develop automated data quality validation processes.
Develop and support AWS-based solutions.
Build infrastructure using Terraform and Infrastructure as Code practices.
Support CI/CD deployment pipelines.
Improve platform scalability, resiliency, and disaster recovery readiness.
Implement monitoring and observability capabilities.
Utilize AI coding assistants to improve development velocity and engineering efficiency.
Develop proof-of-concept solutions leveraging LLMs and generative AI services.
Build intelligent operational tooling for monitoring, troubleshooting, and support workflows.
Identify opportunities where AI can reduce engineering effort or improve service delivery.
Evaluate and implement AI-driven automation capabilities within established governance standards.
Participate in application support and incident response processes.
Troubleshoot and resolve production pipeline failures.
Conduct root cause analysis and drive preventative improvements.
Support platform monitoring and operational reporting.
Contribute to runbooks and operational documentation.
Participate in Agile ceremonies and sprint activities.
Work closely with product managers, architects, analysts, and business stakeholders.
Collaborate with vendor teams and upstream/downstream data consumers.
Contribute to architecture discussions and technical design reviews.

Requirements

Bachelor’s degree in Computer Science, Engineering or related field with minimum of 3 years of experience in software engineering, cloud engineering, platform engineering, or data engineering OR Master's degree in Computer Science, Data Engineering, Artificial Intelligence, Information Systems, Engineering, or a related field with minimum of 1 year of relevant experience.
Demonstrated experience building, supporting, or maintaining cloud-based applications, data platforms, or production systems.
Hands-on experience with AWS services including S3, Lambda, Glue, CloudWatch, IAM, EventBridge, and Athena
Proficiency in Python and or PySpark for data transformation, SQL, API Integrations, and Git/GitHub
Experience in data engineering to include, ETL/ELT pipeline development, Data validation frameworks, Data quality practices, and Batch and event-driven processing
Strong analytical, troubleshooting, and problem-solving skills.
Excellent debugging and troubleshooting capabilities
Effective communication and collaboration
Ability to work independently and deliver in fast-paced environments
High attention to detail and commitment to data quality
Ability to work independently while collaborating effectively within Agile teams.
Continuous learning mindset, including adoption of AI-assisted engineering practices in a responsible manner

Skills

AWS
Data Engineering
Cloud Engineering
AI-Assisted Development
Generative AI
Python
PySpark
SQL
API Integrations
Git/GitHub
ETL/ELT
Data Validation
Data Quality
Batch Processing
Event-Driven Processing
Terraform
Infrastructure as Code
CI/CD
Amazon Bedrock
Azure OpenAI
OpenAI APIs
Vector databases
Retrieval Augmented Generation (RAG)
Prompt engineering
LLM evaluation
AI governance
AI security
Agentic workflows
AI-powered automation

Location

Remote

Work Type

Full-time

Experience Level

Engineer II
3 years of experience
1 year of experience

Education Level

Bachelor’s degree in Computer Science, Engineering or related field
Master's degree in Computer Science, Data Engineering, Artificial Intelligence, Information Systems, Engineering, or a related field

Salary/Compensations

$40.10-$66.83/hour

Benefits

401K matching
Health benefits
Employee stock options
Paid time off
Volunteer time off

About the Company

LPL Financial Holdings Inc. (Nasdaq: LPLA) is among the fastest growing wealth management firms in the U.S. As a leader in the financial advisor-mediated marketplace(6) , LPL supports over 32,000 financial advisors and the wealth management practices of approximately 1,100 financial institutions, servicing and custodying approximately $2.3 trillion in brokerage and advisory assets on behalf of approximately 8 million Americans. The firm provides a wide range of advisor affiliation models, investment solutions, fintech tools and practice management services, ensuring that advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses. At LPL, independence means that advisors and institution leaders have the freedom they deserve to choose the business model, services, and technology resources that allow them to run a thriving business. They have the flexibility to do business their way. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors and institutions, so they can take care of their clients.

Equal Opportunity

Principals only. EOE.