Dynasty Financial Partners
Data Engineer - Wealth Technology
Dynasty Financial Partners, St. Petersburg, Florida, United States, 33739
Join to apply for the Data Engineer - Wealth Technology role at Dynasty Financial Partners.
Job Overview Dynasty Financial Partners is seeking a motivated, self-starting individual to join our team and pursue our shared goal of providing exceptional service for our clients. As a Data Engineer, you will serve as a dedicated resource to support our Data Lake and assist on internal and external client solutions/product-based support. You will identify, develop, and implement product and technology-based solutions to increase operational efficiency, improve accuracy, and support platform adoption.
Please Note: This job is an IN-OFFICE position located in St. Petersburg, FL. If you are unable or unwilling to fulfill this requirement of the position, please refrain from applying.
Responsibilities
Design, develop, and maintain reliable and efficient data pipelines using Azure Data Factory and Azure Databricks.
Construct and maintain complex data processing systems, ensuring they are scalable, repeatable, and secure.
Develop data pipelines that answer critical business questions and solve internal and external reporting needs.
Develop and maintain data models and data architecture to support data lakehouse architecture.
Implement automated data validation, testing, and error handling mechanisms within data pipelines.
Stay up to date with the latest Azure services and technologies, as well as industry best practices, to continuously improve the data engineering processes.
Document all data engineering processes, systems, and designs to ensure knowledge sharing and business continuity.
Requirements
Bachelor's degree in computer science, Engineering, or related field; master's degree is a plus.
Minimum of 3 years of experience as a Data Engineer with a focus on Azure cloud services.
Strong experience with Azure Databricks for data processing and analytics.
Proficient in Azure Data Factory for creating, scheduling, and orchestrating data workflows.
Familiarity with data modeling, SQL, and data warehousing principles.
Experience with programming languages such as Python, Scala, or SQL for data manipulation and transformation.
Solid understanding of CI/CD practices and version control systems (e.g., Git).
Excellent problem-solving skills, attention to detail, and the ability to work in a fast-paced environment.
Strong communication and collaboration skills to work effectively with both technical and non-technical team members.
Relevant Certifications
Azure Data Engineer Associate
Azure Data Fundamentals
Microsoft PowerBI
Preferred, But Not Required
Knowledge of Delta Lake and Lakehouse architecture patterns
Experience with Databricks Unity Catalog for data governance and metadata management
Work history in the Wealth Management industry is a plus
Benefits
Health Insurance
Dental insurance
Vision insurance
Retirement plan 401(k)
401(k) matching
Paid Time Off
FSA/HSA benefits plans
Disability benefits
Voluntary Life Insurance
Basic Life Insurance
EQUAL EMPLOYMENT OPPORTUNITY Dynasty Financial Partners is committed to providing equal employment opportunities and ensuring that all employment-related decisions are made without regard to race, color, sex, age, national origin, religion, physical or mental disability (unrelated to the ability to perform job duties) veteran status, or any other protected status under applicable law.
Seniority level Mid-Senior level
Employment type Full-time
Job function Information Technology
Referrals increase your chances of interviewing at Dynasty Financial Partners by 2x.
Get notified about new Data Engineer jobs in St. Petersburg, FL.
#J-18808-Ljbffr
Job Overview Dynasty Financial Partners is seeking a motivated, self-starting individual to join our team and pursue our shared goal of providing exceptional service for our clients. As a Data Engineer, you will serve as a dedicated resource to support our Data Lake and assist on internal and external client solutions/product-based support. You will identify, develop, and implement product and technology-based solutions to increase operational efficiency, improve accuracy, and support platform adoption.
Please Note: This job is an IN-OFFICE position located in St. Petersburg, FL. If you are unable or unwilling to fulfill this requirement of the position, please refrain from applying.
Responsibilities
Design, develop, and maintain reliable and efficient data pipelines using Azure Data Factory and Azure Databricks.
Construct and maintain complex data processing systems, ensuring they are scalable, repeatable, and secure.
Develop data pipelines that answer critical business questions and solve internal and external reporting needs.
Develop and maintain data models and data architecture to support data lakehouse architecture.
Implement automated data validation, testing, and error handling mechanisms within data pipelines.
Stay up to date with the latest Azure services and technologies, as well as industry best practices, to continuously improve the data engineering processes.
Document all data engineering processes, systems, and designs to ensure knowledge sharing and business continuity.
Requirements
Bachelor's degree in computer science, Engineering, or related field; master's degree is a plus.
Minimum of 3 years of experience as a Data Engineer with a focus on Azure cloud services.
Strong experience with Azure Databricks for data processing and analytics.
Proficient in Azure Data Factory for creating, scheduling, and orchestrating data workflows.
Familiarity with data modeling, SQL, and data warehousing principles.
Experience with programming languages such as Python, Scala, or SQL for data manipulation and transformation.
Solid understanding of CI/CD practices and version control systems (e.g., Git).
Excellent problem-solving skills, attention to detail, and the ability to work in a fast-paced environment.
Strong communication and collaboration skills to work effectively with both technical and non-technical team members.
Relevant Certifications
Azure Data Engineer Associate
Azure Data Fundamentals
Microsoft PowerBI
Preferred, But Not Required
Knowledge of Delta Lake and Lakehouse architecture patterns
Experience with Databricks Unity Catalog for data governance and metadata management
Work history in the Wealth Management industry is a plus
Benefits
Health Insurance
Dental insurance
Vision insurance
Retirement plan 401(k)
401(k) matching
Paid Time Off
FSA/HSA benefits plans
Disability benefits
Voluntary Life Insurance
Basic Life Insurance
EQUAL EMPLOYMENT OPPORTUNITY Dynasty Financial Partners is committed to providing equal employment opportunities and ensuring that all employment-related decisions are made without regard to race, color, sex, age, national origin, religion, physical or mental disability (unrelated to the ability to perform job duties) veteran status, or any other protected status under applicable law.
Seniority level Mid-Senior level
Employment type Full-time
Job function Information Technology
Referrals increase your chances of interviewing at Dynasty Financial Partners by 2x.
Get notified about new Data Engineer jobs in St. Petersburg, FL.
#J-18808-Ljbffr