Data Engineering new grad

• 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., * 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

LPL Financial is seeking a motivated Data Engineering new grad 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 entry level candidates who are passionate about data, technology, and using intelligent solutions to solve business challenges and drive client value., * Completed bachelor’s or master’s degree in Computer Science, Management Information Systems (MIS), Data Science, Analytics, Engineering, Mathematics, or a related field., * Previous internship experience within a large-scale enterprise environment

• 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.

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.

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!

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 ;br> 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.