Associate Software Development Engineer In Test Jobs in South Carolina

Lead with Purpose, Unlock Your Team's Passion

At LPL Financial, people leaders and technical leaders alike shape how we innovate, collaborate, and deliver value. When you lead with intention-through influence, expertise, and integrity-you help transform not just platforms, but experiences for advisors and clients nationwide. If you're ready to lead at scale and drive meaningful transformation, LPL Financial invites you to apply.

Are you passionate about modernizing legacy systems and building cloudnative platforms that power critical financial processes? Do you thrive at the intersection of data engineering, architecture, and business transformation? Join LPL Financial's Compensation Transformation Program and play a pivotal role in redefining how compensation is calculated, validated, and delivered across the enterprise.

Job Overview

LPL Financial is seeking a VP, Principal Engineer / Tech Lead to design and deliver modern, cloudbased data and application capabilities that transform enterprise compensation processing. In this role, you will provide handson technical leadership across data pipelines, eventdriven workflows, and cloud architecture-ensuring scalability, resiliency, transparency, and automation.

You will partner closely with architects, product teams, compensation subjectmatter experts, and engineering teams to modernize endtoend compensation systems using AWSnative services and Pythondriven data pipelines.

Responsibilities

• Design and implement endtoend cloud data pipelines supporting compensation ingestion, calculation, validation, and downstream distribution

• Build and maintain ETL/ELT workflows using Python, AWS Glue, Lambda, Step Functions, and S3

• Architect and develop eventdriven workflows leveraging AWS EventBridge, SQS, and SNS

• Implement data quality, reconciliation, auditing, and monitoring capabilities to ensure accuracy and integrity of compensation data

• Partner with architects and product teams to modernize legacy compensation platforms into scalable, cloudnative solutions

• Work with relational databases (RDS/Postgres/SQL Server) for data modeling, transformation, and performance optimization

• Apply CI/CD and DevOps best practices to automate build, test, and deployment processes

• Troubleshoot complex production issues and drive rootcause resolution under tight timelines

• Communicate technical concepts clearly to business stakeholders, compensation SMEs, and crossfunctional partners

• Identify opportunities to improve transparency, scalability, and automation across compensation workflows

What Are We Looking For?

We're looking for a collaborative, technically strong leader who thrives in fastpaced environments and enjoys transforming complex, rulesdriven systems. You bring a deep sense of ownership, a passion for cloud and data engineering, and a commitment to delivering highquality, resilient solutions that support LPL's advisorcentered mission.

Requirements

• 10+ years of experience designing and delivering complex enterprise systems
• 7+ years of handson data engineering experience using Python and SQL
• Strong experience with AWS services including Glue, Lambda, EventBridge, RDS, and S3
• Proven ability to design scalable, eventdriven and cloudnative architectures
• Experience with CI/CD, DevOps practices, and modern software engineering standards

Core Competencies

• Cloud and data architecture leadership

• Systems thinking and problem solving

• Crossfunctional collaboration and stakeholder communication

• Technical mentorship and influence

• Continuous improvement mindset

Preferences

• Experience with .NET, C#, JavaScript, Angular, or API development

• Experience with Snowflake or modern cloud data warehouses

• Background in compensation, payroll, financial calculations, or rulesdriven systems

• Familiarity with Jira, TeamCity, or Octopus Deploy

Please note: This position does not offer work authorization sponsorship now or in the future. Applicants must have valid U.S. work authorization that does not require employer sponsorship.