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LPL Financial Holdings, Inc.
Intern 2027 - Data Engineer

LPL Financial Holdings, Inc.

Fort Mill, South Carolina • Today

Part-time

USD 25.00 - 30.00 per hour

American Express
Campus Undergraduate Summer Internship Program - 2027 Data Engineer, Enterprise Technology Services- Charlotte, NC

American Express

Charlotte, North Carolina • Today

Full-time

American Express
Campus Graduate Masters Summer Internship Program - 2027 Data Engineer, Enterprise Technology Services- Charlotte, NC

American Express

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Full-time

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LPL Financial Holdings, Inc.

Intern 2027 - Data Engineer

LPL Financial Holdings, Inc.
Fort Mill, SC, US • Posted 30+ days ago • Updated 5 hours ago
Part Time
On-site

Job Details

Skills

  • Business Intelligence
  • Optimization
  • Reporting
  • Use Cases
  • Requirements Elicitation
  • Operational Efficiency
  • Performance Monitoring
  • Process Optimization
  • Specification Gathering
  • Continuous Improvement
  • Computer Science
  • Management Information Systems
  • Data Science
  • Mathematics
  • Data Quality
  • Analytics
  • Decision-making
  • Innovation
  • Artificial Intelligence
  • Generative Artificial Intelligence (AI)
  • Machine Learning (ML)
  • Amazon Web Services
  • Microsoft Azure
  • Google Cloud
  • Google Cloud Platform
  • Cloud Computing
  • Data Storage
  • Data Engineering
  • Snow Flake Schema
  • Databricks
  • Amazon Redshift
  • Apache Spark
  • Apache Kafka
  • SQL
  • Python
  • Programming Languages
  • Extract
  • Transform
  • Load
  • ELT
  • Data Modeling
  • Workflow
  • Orchestration
  • Git
  • Agile
  • Data Visualization
  • Microsoft Power BI
  • Tableau
  • Project Management
  • Performance Management
  • Preventive Maintenance
  • Recruiting
  • SAP BASIS
  • Documentation
  • Onboarding
  • RIA
  • Business Model
  • Management
  • Customer Relationship Management (CRM)
  • Brokerage
  • Leadership
  • FOCUS
  • Insurance
  • Finance
  • Credit Cards
  • Human Resources
  • Business Intelligence
  • Optimization
  • Reporting
  • Use Cases
  • Requirements Elicitation
  • Operational Efficiency
  • Performance Monitoring
  • Process Optimization
  • Specification Gathering
  • Continuous Improvement
  • Computer Science
  • Management Information Systems
  • Data Science
  • Mathematics
  • Data Quality
  • Analytics
  • Decision-making
  • Innovation
  • Artificial Intelligence
  • Generative Artificial Intelligence (AI)
  • Machine Learning (ML)
  • Amazon Web Services
  • Microsoft Azure
  • Google Cloud
  • Google Cloud Platform
  • Cloud Computing
  • Data Storage
  • Data Engineering
  • Snow Flake Schema
  • Databricks
  • Amazon Redshift
  • Apache Spark
  • Apache Kafka
  • SQL
  • Python
  • Programming Languages
  • Extract
  • Transform
  • Load
  • ELT
  • Data Modeling
  • Workflow
  • Orchestration
  • Git
  • Agile
  • Data Visualization
  • Microsoft Power BI
  • Tableau
  • Project Management
  • Performance Management
  • Preventive Maintenance
  • Recruiting
  • SAP BASIS
  • Documentation
  • Onboarding
  • RIA
  • Business Model
  • Management
  • Customer Relationship Management (CRM)
  • Brokerage
  • Leadership
  • FOCUS
  • Insurance
  • Finance
  • Credit Cards
  • Human Resources

Summary

Where Ambition Meets Innovation

Build a career that matches all your initiative with an impressive dose of innovation. From cutting-edge resources and a collaborative environment to the freedom to make an impact and more, you'll find the ingredients you need at LPL Financial to shape your success while helping clients pursue their financial goals.

Job Overview:

LPL Financial is seeking a motivated Data Engineering Intern to help build and optimize the data platforms that power analytics, business intelligence, and AI-driven decision-making. In this role you'll 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 students passionate about data, technology, and using intelligent solutions to solve business challenges and drive client value.

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.

What are we looking for?

We're looking 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 help our clients succeed. We value those who embrace creativity, continuous improvement, and contribute to a culture where we win together and create and share joy in our work.

Requirements:

  • Currently pursuing a bachelor's or master's degree in Computer Science, Management Information Systems (MIS), Data Science, Analytics, Engineering, Mathematics, or a related field.

  • Available to work from of LPL Financials' primary office locations

Core Competencies:

  • Data Engineering Fundamentals - Understanding of data pipelines, data modeling, data transformation, and data quality concepts.

  • Analytics & Business Insight - Ability to analyze data, identify trends, and support data-driven decision-making.

  • Product & Stakeholder Mindset - Interest in translating business needs into data products and meaningful solutions.

  • AI & Innovation - Curiosity about AI, Generative AI, machine learning, and how intelligent technologies

Preferences:

  • Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (Google Cloud Platform), including cloud-based data storage and processing services.

  • Exposure to modern data engineering technologies, including Snowflake, Databricks, Redshift, BigQuery, Apache Spark, or Apache Kafka.

  • Proficiency in SQL and familiarity with Python or other programming languages used to build, automate, and optimize data 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.

Summer Internship Schedule:

  • Full - time position for 10 weeks in the summer of 2027; Monday through Friday, working 40 hours a week during business operating hours.

  • Internship dates: 6/1/2027 - 8/6/2027

Priority Application Date: September 21 at 11:59 PM PST

PLEASE NOTE: This role follows a priority application approach. Candidates who apply by this date will receive priority consideration, and we anticipate that most hiring decisions will be made following the priority application date. Candidates are encouraged to apply early, as applications will be reviewed on a rolling basis.

Disclaimer for international students:
  • At this time, for our early career program positions, we're unable to consider candidates who require sponsorship now or in the future. For other positions, within LPL it will depend on the specific position.
  • You will be responsible for obtaining and providing to LPL the required I-9 documentation as part of our onboarding process.
  • Positions offered are for full-time work at 40 hours per week.
  • Please consult your Designated School Official to confirm your eligibility with your school ability prior to applying.

Hourly Rate:
$25.00-$30.00 per hour

The hourly amount is dependent on a number of factors, including the applicant's skill, experience, and work location.

Company Overview:

LPL Financial Holdings Inc. (Nasdaq: LPLA) was founded on the principle that the firm should work for advisors and institutions, and not the other way around. Today, LPL is a leader in the markets we serve, serving more than 23,000 financial advisors, including advisors at approximately 1,000 institutions and at approximately 580 registered investment advisor ("RIA") firms nationwide. We are steadfast in our commitment to the advisor-mediated model and the belief that Americans deserve access to personalized guidance from a financial professional.

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.

Join LPL Financial: Where Your Potential Meets Opportunity

At LPL Financial, we believe that everyone deserves objective financial guidance. As the nation's leading independent broker-dealer, we offer an integrated platform of cutting-edge technology, brokerage, and investment advisor services.

Why LPL?
  • Innovative Environment: We foster creativity and growth, providing a supportive and responsive leadership team. Learn more about our leadership team here!
  • Limitless Career Potential: Your career at LPL has no limits, only amazing potential. Learn more about our careers here!
  • Unified Mission: We are one team on one mission-taking care of our advisors so they can take care of their clients. Learn more about our mission and values here!
  • Impactful Work: Our size is just right for you to make a real impact. Learn more here!
  • Commitment to Equality: We support workplace equality and embrace diverse perspectives and backgrounds. Learn more here!
  • Community Focus: We care for our communities and encourage our employees to do the same. Learn more here!
  • Benefits and Total Rewards: Our Total Rewards package goes beyond just compensation and insurance. It includes a mix of traditional and unique benefits, perks, and resources designed to enhance your life both at work and at home. Learn more here!

Join the LPL team and help us make a difference by turning life's aspirations into financial realities. Please log in or create an account to apply to this position. 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 .

EAC1.22.25
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10366328
  • Position Id: 5ad566e9514ce942420236b08fffadc7
  • Posted 30+ days ago
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