Lead Data Integration Engineer

Raymond James•Memphis, FL

21h•Hybrid

About The Position

Are you an expert in MS SQL Server & SSIS development who learned python and cloud engineering to stay ahead of the curve? We are seeking a lead data engineer to maintain and support our critical Pre-trade clearance system while working on re-engineering our entire data stack into AWS using python. 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.

Requirements

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.
Excellent communication, analytical, and problem-solving skills.
Bachelor’s: Computer and Information Science (Required), High School (HS) (Required)
General Experience - 6 to 10 years

Nice To Haves

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.

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.