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Sr. Big Data Engineer

Name of Employer:      LPL Financial LLC

Position Title:             Sr. Big Data Engineer Req# 000023

Hours:                         40 hours per week

Salary Range:             $156,000 - $166,000 per year

Location:                     1055 LPL Way, Fort Mill, SC 29715

Telecommuting:          Telecommuting permitted up to 50% of the week

JOB DUTIES: Design and develop data applications using big data technologies (Hadoop, AWS) to ingest, process, and analyze large disparate datasets. Work with development teams and other project leaders/stakeholders to provide technical solutions that enable business capabilities. Build robust data pipelines on Cloud using Airflow, Spark/EMR, Kinesis, Kafka, Lambda or other technologies. Build the infrastructure required for optimal extraction, transformation, and loading of data from various data sources using SQL and AWS ‘big data’ technologies. Work with data and analytics experts to strive for greater functionality in our data systems. Implement architectures to handle large scale data and its organization. Execute strategies that inform data design and architecture partnering with enterprise standard. Work across teams to deliver meaningful reference architectures that outline architecture principles and best practices for technology advancement.

REQUIREMENTS: Bachelor's degree, or foreign equivalent, in Computer Applications, Applied Computer Science or a related field and five (5) years of experience in the job offered or a related occupation in which the required experience was gained.

Alternatively, Master's degree, or foreign equivalent, in Computer Applications, Applied Computer Science or a related field and three (3) years of experience in the job offered or a related occupation in which the required experience was gained.

Applicants must have demonstrated experience with each of the following:

  • Writing complex programs, implementing architectures, and enabling automation in these environments;
  • Traditional database, data warehouse, ETL and reporting applications;
  • Designing and developing data applications using big data technologies (Hadoop and AWS) to ingest, process, and analyze large disparate datasets;
  • Building robust data pipelines on Cloud using Airflow, Spark/EMR, Kinesis, Kafka, or Lambda; and
  • Implementing architectures to handle large scale data and its organization.


 

Pay Range:

$156,000 - $166,000


 

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) 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 (855) 575-6947.

EAC1.22.25

Average salary estimate

$161000 / YEARLY (est.)
min
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$156000K
$166000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Sr. Big Data Engineer, LPL Financial

LPL Financial LLC is on the lookout for a passionate Sr. Big Data Engineer to join their dynamic team in Fort Mill/Charlotte! In this exciting role, you’ll get the chance to be at the forefront of data innovation, designing and developing data applications using cutting-edge big data technologies like Hadoop and AWS. Your work will directly influence the way we ingest, process, and analyze large, diverse datasets to empower our business capabilities. Collaborating with development teams and various stakeholders, you’ll provide technical solutions and build robust data pipelines using tools such as Airflow, Spark/EMR, Kinesis, and Kafka. You'll also have the opportunity to implement architectures that handle large-scale data and strive for greater functionality in our data systems. With a salary range of $156,000 to $166,000 per year, alongside an impressive benefits package that includes 401K matching and paid time off, LPL Financial truly values the wellbeing of its employees. If you want to be part of a company that is dedicated to helping Americans get the financial guidance they deserve, this is your chance! Come join a company that supports your professional journey while allowing you to make a significant impact in the financial sector.

Frequently Asked Questions (FAQs) for Sr. Big Data Engineer Role at LPL Financial
What are the main responsibilities of a Sr. Big Data Engineer at LPL Financial LLC?

As a Sr. Big Data Engineer at LPL Financial LLC, your main responsibilities will include designing and developing data applications using big data technologies like Hadoop and AWS. You will also build robust cloud data pipelines and work collaboratively with teams to implement architectures that enhance data organization and functionality.

Join Rise to see the full answer
What qualifications are required for the Sr. Big Data Engineer position at LPL Financial LLC?

Candidates for the Sr. Big Data Engineer position at LPL Financial LLC need a Bachelor's or Master's degree in Computer Applications, Applied Computer Science, or a related field. Moreover, five years of relevant experience, or three years with a Master’s degree, is essential, along with demonstrated expertise in big data technologies and data pipeline development.

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What big data technologies should a Sr. Big Data Engineer at LPL Financial LLC be proficient in?

A Sr. Big Data Engineer at LPL Financial LLC should be proficient in big data technologies such as Hadoop and AWS. Familiarity with building data pipelines using Airflow, Spark/EMR, Kinesis, Kafka, and Lambda is also critical for successfully fulfilling the role.

Join Rise to see the full answer
Is telecommuting an option for the Sr. Big Data Engineer role at LPL Financial LLC?

Yes, the Sr. Big Data Engineer position at LPL Financial LLC permits telecommuting for up to 50% of the week, providing flexibility for employees while still contributing to impactful data-driven solutions.

Join Rise to see the full answer
What salary can a Sr. Big Data Engineer expect at LPL Financial LLC?

The salary range for a Sr. Big Data Engineer at LPL Financial LLC is between $156,000 and $166,000 per year. Actual base salary may vary based on skill level, prior experience, and geographic location.

Join Rise to see the full answer
Common Interview Questions for Sr. Big Data Engineer
What experience do you have with Hadoop and AWS?

When discussing your experience with Hadoop and AWS, be specific about the projects you've worked on. Highlight how you've utilized Hadoop for data processing and AWS for cloud infrastructure, giving concrete examples of challenges you've faced and how you overcame them.

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How do you ensure data integrity when building data pipelines?

To ensure data integrity while building pipelines, emphasize the importance of thorough testing and validation. Explain how you implement automated checks and balances throughout the pipeline to catch discrepancies early on and maintain data quality.

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Can you describe a challenging project you’ve worked on involving large datasets?

In answering this question, describe a challenging project where you had to manage large datasets. Discuss the specific technical hurdles you encountered and detail how you leveraged big data technologies to create efficient solutions.

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What steps do you take to optimize data ingestion processes?

Explain your approach to optimizing data ingestion processes by discussing techniques such as batching, parallel processing, and using efficient file formats. Share any specific examples where your strategies led to improved performance.

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How do you approach collaborating with cross-functional teams?

For collaborating with cross-functional teams, emphasize the importance of communication and understanding diverse perspectives. Discuss your experience working with various stakeholders and how you align data solutions with business objectives.

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Describe your experience with data governance and compliance.

Here, detail your understanding of data governance principles and any frameworks you've worked with. Explain how you ensure compliance with regulatory requirements in your data engineering practices.

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What design patterns have you used for building data architectures?

Discuss specific design patterns such as ETL (Extract, Transform, Load) and Lambda architecture that you've implemented in your projects. Provide examples to demonstrate your understanding of when and why to use these patterns.

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How do you stay current with evolving big data technologies?

To address this, talk about your approach to continuous learning, such as attending workshops, following industry blogs, or participating in relevant online courses. Show your commitment to staying updated on big data trends and technologies.

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What tools and frameworks do you prefer when working with data pipelines?

In your answer, share the tools you are most comfortable with, such as Apache Kafka, Apache Airflow, or AWS Glue. Explain why you prefer these tools and how they have been instrumental in your projects.

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How do you prioritize tasks when working on multiple projects simultaneously?

Discuss your organizational and time management strategies when juggling multiple projects. Mention techniques like using project management tools or Agile methodologies that help you stay focused and productive.

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DATE POSTED
April 19, 2025

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