Senior Engineer, Data (Req 000257)
LPL FinancialAbout the role
Name of Employer: LPL Financial LLC
Position Title: Senior Engineer, Data (Req 000257)
Requisition: 000257
Hours: 40 hours per week
Salary Range: $154,000 - $164,000 per year
Location: 1055 LPL Way, Fort Mill, SC 29715
Telecommuting: 40% telecommuting allowed.
JOB DUTIES: Design and build data pipelines to support applications and data science projects following software engineering best practices.
Work with development teams, project leaders, and other stakeholders to provide technical solutions that enable business capabilities.
Design and develop data applications using big data technologies (Hadoop and AWS) to ingest, process, and analyze large disparate datasets.
Build robust data pipelines on Cloud using Airflow, Spark/EMR, Kinesis, Kafka, Lambda, DBT, Fivetran, and HVR.
Build the infrastructure required for optimal extraction, transformation, and loading of data from various data sources using SQL and AWS 'big data' technologies.
Implement architectures to handle large-scale data and its organization.
Execute strategies that inform data design and architecture, partnering with enterprise standards.
Work across teams to deliver meaningful reference architectures that outline architecture principles and best practices for technology advancement.
40% telecommuting allowed.
REQUIREMENTS: Bachelor's degree (or foreign education equivalent) in Computer Science, Electrical Engineering, Computer Engineering, Applied Mathematics, Information Systems, Statistics, or a closely related field and five (5) years of experience in job offered or in data engineering role building scalable data pipelines of 40-50 Gigabytes (or a closely related occupation).
Alternatively, Master's degree (or foreign education equivalent) in Computer Science, Electrical Engineering, Computer Engineering, Applied Mathematics, Information Systems, Statistics, or a closely related field and two (2) years of experience in job offered or in a data engineering role building scalable data pipelines of 40-50 Gigabytes (or a closely related occupation).
Special Skills: Applicants must possess demonstrated expertise with the following:
Creating and automating enterprise data pipelines and orchestration framework, using Spark and Lambda on Cloud, and on-premises deployment architectures.
Developing and setting tasks in Directed Acyclic Graphs (DAGs) and workflows using orchestration frameworks (Airflow or similar).
Using programming language (Python or Scala) to develop business functionalities according to requirements.
Writing programs, implementing architectures, and enabling automation in on-premises and cloud environments.
Using BI tools (Tableau and Power BI) for data analytics and reporting.
Working with CI/CD pipeline and code repositories (GitHub or Bit Bucket).
Performing data modeling, data warehousing, and big data architecture development using Hadoop, EMR, spark, Redshift, Fivetran, Snowflake, No-SQL, or similar large-scale distributed systems.
DevOps experience, including using Terraform for infrastructure as code, automating data pipeline deployments, and managing machine learning workflows to ensure scalable and efficient operations.
Pay Range:
$154,000 - $164,000 per yearCompany Overview:
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. LPL supports over 29,000 financial advisors and the wealth-management practices of 1,100 financial institution, servicing and custodying approximately $1.9 trillion in brokerage and advisory assets on behalf of approximately 7 million Americans. The firm provides a wide range of advisor affiliation models, investment solutions, fi
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