New Grad - 2027 - Data Engineering

LPL Financial; Fort Mill (SC); On-site; USD 41,000 - 69,000; Full time

Job summary

LPL Financial is seeking a motivated Data Engineering newgrad to help build and optimize data platforms that power analytics, business intelligence, and AI-driven decision-making. You will work with data engineering, analytics, and data product teams to develop data pipelines, support reporting and insights, and contribute to AI and Generative AI initiatives.

This role is ideal for recent graduates who are passionate about data, technology, and using intelligent solutions to solve business

Qualifications

• Bachelor’s or Master’s degree in CS, MIS, Data Science, Analytics, Engineering, Mathematics, or related field.
• Available to work from LPL Financial's primary office locations.

Responsibilities

• Assist in building and maintaining data pipelines that ingest, process, and transform data from multiple sources.
• Support the development and optimization of data platforms, warehouses, lakes, and reporting solutions.
• Analyze, validate, and monitor data to ensure accuracy, quality, and reliability.
• Partner with data engineers, analysts, product managers, and business stakeholders to support analytics, reporting, and AI use cases.
• Contribute to the development of data products by gathering requirements, documenting business needs, and supporting product lifecycle activities.
• Leverage automation and AI-enabled tools to improve data workflows, operational efficiency, and insight generation.
• Assist with troubleshooting data pipeline issues, performance monitoring, and process optimization.
• Document data architectures, workflows, and technical specifications.

Skills

Data pipelines

Data quality

Analytics

Stakeholder mindset

AI & Generative AI

Education

Bachelor's degree

Master's degree

MIS

Data Science

Analytics

Tools

SQL

Python

Airflow

dbt

Snowflake

Databricks

Power BI

Tableau

Looker

Job description

Job Overview:

LPL Financial is seeking a motivated Data Engineering newgradto help build andoptimizethe data platforms that power analytics, business intelligence, and AI-driven decision-making.In thisroleyou’llwork with data engineering, analytics, and data product teams to develop data pipelines, support reporting and insights, and contribute to AI and Generative AI initiatives. This role is ideal for recent graduates who are passionate about data, technology, and using intelligent solutions to solve business challenges and drive client value.

Responsibilities:

• Assistin building andmaintainingdata pipelines that ingest, process, and transform data from multiple sources.
• Support the development and optimization of data platforms, warehouses, lakes, and reporting solutions.
• Analyze,validate, andmonitordata to ensure accuracy, quality, and reliability.
• Partner with data engineers, analysts, product managers, and business stakeholders to support analytics, reporting, and AI use cases.
• Contribute to the development of data products by gathering requirements, documenting business needs, and supporting product lifecycle activities.
• Leverage automation and AI-enabled tools to improve data workflows, operational efficiency, andinsightgeneration.
• Assistwith troubleshooting data pipeline issues, performance monitoring, and process optimization.
• Document data architectures, workflows, and technical specifications.

What are we looking for?

We’relooking for strong collaborators who deliver exceptional client experiences and thrive in fast-paced,team-oriented environments. Our ideal candidates pursue greatness, act with integrity, and are driven to helpour clients succeed. We value those who embrace creativity, continuous improvement, and contribute to aculture where we win together and create and share joy in our work.

Requirements:

• Completedbachelor’sormaster’s degree in Computer Science, Management Information Systems (MIS), Data Science, Analytics, Engineering, Mathematics, ora relatedfield.
• Available to work from of LPL Financials’ primary office locations

Core Competencies:

• Data Engineering Fundamentals –Understanding ofdata pipelines, data modeling, datatransformation, and data quality concepts.
• Analytics & Business Insight – Ability to analyze data,identifytrends, and support data-drivendecision-making.
• Product & Stakeholder Mindset – Interest in translating business needs into data products andmeaningful solutions.
• AI & Innovation – Curiosity about AI, Generative AI, machine learning, and how intelligent technologies

Preferences:

• Previousinternship experience within a large-scale enterprise environment
• Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP), including cloud-based data storage and processing services.
• Exposure tomodern data engineering technologies, including Snowflake, Databricks, Redshift,BigQuery, Apache Spark, or Apache Kafka.
• Proficiencyin SQL and familiarity with Python or other programming languages used to build, automate, andoptimizedata pipelines.
• Experience with ETL/ELT processes, data modeling, and workflow orchestration tools such as Airflow,dbt, or similar technologies.
• Familiarity with Git, Agile development practices, and data visualization tools such as Power BI, Tableau, or Looker.

Disclaimer for international students:

• At this time, for our early career program positions,we’reunable to consider candidates whorequiresponsorship now or in the future. For other positions, within LPL it will depend on the specific position.
• You willbe responsible forobtaining andproviding toLPL the required I-9 documentation as part of our onboarding process.
• Positions offered are for full-time work at40 hoursper week.
• Please consult your Designated School Official to confirm your eligibility with your school ability prior to applying.

Pay Range:

$30.05-$50.05/hour

Actual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location. Additionally, LPL Total Rewards package is highly competitive, designed to support your success at work, at home, and at play – such as 401K matching, health benefits, employee stock options, paid time off, volunteer time off, and more. Your recruiter will be happy to discuss all that LPL has to offer!

Company Overview:

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. For further information about LPL, please visit www.lpl.com.

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.

For further information about LPL, please visit www.lpl.com.

Join the LPL team and help us make a difference by turning life’s aspirations into financial realities. Principals only. EOE.

Information on Interviews:

LPL will only communicate with a job applicant directly from an @lplfinancial.com email address and will never conduct an interview online or in a chatroom forum. During an interview, LPL will not request any form of payment from the applicant, or information regarding an applicant’s bank or credit card. Should you have any questions regarding the application process, please contact LPL’s Human Resources Solutions Center at [phone].

EAC 5.19.26