Position: Wealth Management Sr. Software Developer
(Data Engineering)
Location: Dallas, TX (Day 1 onsite)
Job Title: Wealth Management Sr. Software Developer
(Data Engineering)
Job Summary: Seeking a talented and experienced
developer with a strong focus on data engineering to join our team working on a
wealth management software project. As a developer, you will be responsible for
designing, developing, Data profiling, Data Analysis, Data integration, and
developing pipelines for our wealth management software. You will collaborate
closely with cross-functional teams to ensure the software meets the
requirements and delivers efficient data processing and analytics capabilities.
Work Location: Dallas, TX
Responsibilities:
•
Design, develop, and maintain data infrastructure and pipelines for our wealth
management software using technologies like Snowflake, Talend, Python, and
Azure
•
Collaborate with product managers, designers, and other developers to
understand requirements and translate them into technical designs and
implementations.
•
Implement data integration and ETL processes to extract, transform, and load
data from various sources into our wealth management software.
•
Develop data models and database schemas to support the storage and retrieval
of financial data!
•
Ensure data quality, integrity, and security throughout the software
development lifecycle!
•
Optimize data processing and analytics capabilities to meet performance and
scalability requirements!
•
Conduct thorough testing of data pipelines and processes to ensure reliability
and accuracy!
•
Work closely with data analysts, data scientists, and business stakeholders to
understand data requirements and provide data-driven solutions.
•
Research and evaluate new technologies, tools, and frameworks relevant to data
engineering in wealth management.
•
Keep up to date with emerging trends and best practices in data engineering and
wealth management software development!
Requirements:
•
Bachelor’s degree in computer science, Software Engineering, Data Science, or a
related field
•
Proven experience in data engineering, data integration, and ETL development
using technologies like Snowflake, Talend, Python, and Azure
•
Strong understanding of wealth management concepts and financial markets
•
Proficient in SQL and database technologies (e.g., Snowflake, SQL Server,
Oracle, Azure SQL Database)
•
Familiarity with cloud platforms and services (e.g., Azure, AWS) for data
processing and storage
•
Knowledge of data warehouse design principles and dimensional modeling
•
Strong programming skills in Python and experience with data manipulation and
analysis libraries (e.g., Pandas, NumPy)
•
Familiarity with version control systems (e.g., Git)
•
Excellent problem-solving and analytical skills
•
Strong communication and collaboration abilities
•
Attention to detail and a commitment to delivering high-quality software
Preferred:
•
Experience working in the finance or wealth management industry.
•
Knowledge of data visualization and reporting tools (e.g., Power BI, Tableau)
•
Familiarity with DevOps practices and CI/CD pipelines
•
Certifications or relevant training in data engineering or cloud computing
technologies
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