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LPL Financial Holdings

Independent broker-dealer platform for financial advisors

Data Engineer Intern

Data EngineeringConfirmed live in the last 24 hours
Internship · Summer 2027$25 - $30 /hr

About the Job

Requirements

  • Currently pursuing a bachelor's or master's degree in Computer Science, Management Information Systems, Data Science, Analytics, Engineering, Mathematics, or a related field.
  • Must be available to work from an LPL Financial primary office location.
  • Understand data pipelines, data modeling, data transformation, and data quality concepts.
  • Be able to analyze data, identify trends, and support data-driven decision-making.
  • Have an interest in translating business needs into data products and meaningful solutions.
  • Have curiosity about artificial intelligence, generative artificial intelligence, and machine learning.

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 artificial intelligence use cases.
  • Contribute to the development of data products by gathering requirements, documenting business needs, and supporting product lifecycle activities.
  • Leverage automation and artificial intelligence-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.

Desired Qualifications

  • Experience with cloud platforms such as AWS, Microsoft Azure, or 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.

About the Company

LPL Financial Holdings

Independent broker-dealer platform for financial advisors

LPL Financial runs the largest independent broker-dealer network in the United States, providing a platform of services and support to financial advisors and institutions. It helps advisors manage client wealth by offering technology, research, clearing and compliance services, and practice management programs. Advisors access a flexible, non-proprietary environment where they can tailor financial recommendations for clients, with revenue coming from fees for services, securities commissions, and asset-based fees. The company supports more than 28,000 financial advisors and oversees over a trillion dollars in advisory and brokerage assets, distinguishing itself through its breadth of back-office capabilities, scalable platform, and emphasis on independence for its advisors. Its goal is to enable independent financial advisors to grow their businesses and deliver personalized investment solutions to their clients.

Company size
10,001+
Company stage
IPO
Headquarters
San Diego, CA
Founded
1989

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