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Lead Data Integration Engineer

LinkedIn Raymond James St. Petersburg, FL
Not Applicable Posted April 17, 2026 Job link
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Requirements
  • 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.
  • 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.
  • General Experience - 6 to 10 years
Preferred Skills
  • Are you an expert in MS SQL Server & SSIS development who learned python and cloud engineering to stay ahead of the curve?
  • Experience with job scheduler tools such as BMC Control-M
  • ETL & Data Warehousing: Strong understanding of ETL methodologies, data warehousing concepts (e.g., Kimball methodology, star schemas), and data modeling techniques (normalization/denormalization).
  • 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.
Education
  • (Required) – Bachelor’s: Computer and Information Science (Required), High School (HS) (Required)