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Lead Data Integration Engineer

United States, Saint Petersburg · Job Posted April 15, 2026
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Job Description

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 Responsibility

  • Maintain and support our critical Pre-trade clearance system
  • Working on re-engineering our entire data stack into AWS using python

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
  • Proficiency in additional programming/scripting languages, such as Python or PowerShell/Shell scripting
  • Familiarity with cloud platforms (e.g., Azure Data Factory, AWS Glue, Google Cloud)
  • 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
  • Bachelor’s: Computer and Information Science (Required), High School (HS) (Required)
  • General Experience - 6 to 10 years

Nice to have

  • 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

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