New Grad 2027 - Data Engineer

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 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.

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 weanticipatethat 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’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.