OneMain Financial Jobs

Job Description

This position follows our hybrid workstyle policy: Expected to be in a Raymond James office location a minimum of 10-12 days a month.

Please note: This role is not eligible for Work Visa sponsorship, either currently or in the future.

Responsibilities:

• Deep expertise in Microsoft SQL Server, SSIS, and SQL development.

• Strong proficiency in writing and optimizing complex stored procedures, functions, and packages.

• Hands-on experience with Python for data manipulation, automation, and pipeline development.

• Familiarity with Oracle databases and PL/SQL development is required for cross-platform data integration.

• Experience in implementing CI/CD pipelines and DevOps practices for data solutions.

• Understanding data warehousing concepts, ETL methodologies, and data modeling techniques.

• Experience with Unix and Shell scripting

• Experience with job scheduler tools such as BMC Control-M

• Proven track record working in both waterfall and agile SDLC frameworks

• Knowledge of the Financial Services industry including middle and back-office functions

• Experience in collaborating with business counterparts to understand detailed requirements

• Excellent verbal and written communication skills

• Produce and maintain detailed technical documentation for all development efforts.

Skills:

• MS SQL Server & SQL Proficiency: Deep expertise in writing and optimizing complex SQL queries, stored procedures, functions, and triggers is fundamental.

• SSIS Expertise: In-depth knowledge of designing, developing, deploying, and maintaining ETL (Extract, Transform, Load) processes and packages using SQL Server Integration Services (SSIS). This includes robust error handling and logging mechanisms.

• ETL & Data Warehousing: Strong understanding of ETL methodologies, data warehousing concepts (e.g., Kimball methodology, star schemas), and data modeling techniques (normalization/denormalization).

• Performance Tuning: Ability to identify, investigate, and resolve database and ETL performance issues, including capacity and scalability planning.

• Programming Languages: Proficiency in additional programming/scripting languages, such as Python or PowerShell/Shell scripting, for automation, data manipulation, and pipeline development.

• Cloud & DevOps (Desired): Familiarity with cloud platforms (e.g., Azure Data Factory, AWS Glue, Google Cloud) and experience implementing CI/CD pipelines and DevOps practices for data solutions is a strong advantage.

• Exposure to streaming technologies such as Kafka is a plus.

• Experience in financial services or enterprise-scale applications is preferred.

• Excellent communication, analytical, and problem-solving skills.