
Fintech • SaaS • B2B
FIA Tech is a leading technology provider serving the futures and exchange-traded derivatives industry. It offers cloud-based, vendor-interoperable platforms and data services — including Trade Data Network, Atlantis (brokerage settlement), eRecs (reconciliation), Docs (legal documentation), OCR and Databank — to streamline brokerage, clearing, compliance, reporting and the full trade lifecycle for buyside firms, brokers and clearing firms. FIA Tech focuses on operational efficiency, regulatory compliance and industry-standard tools to improve transparency and reduce friction across market participants.
51 - 200 employees
💳 Fintech
☁️ SaaS
🤝 B2B
November 25

Fintech • SaaS • B2B
FIA Tech is a leading technology provider serving the futures and exchange-traded derivatives industry. It offers cloud-based, vendor-interoperable platforms and data services — including Trade Data Network, Atlantis (brokerage settlement), eRecs (reconciliation), Docs (legal documentation), OCR and Databank — to streamline brokerage, clearing, compliance, reporting and the full trade lifecycle for buyside firms, brokers and clearing firms. FIA Tech focuses on operational efficiency, regulatory compliance and industry-standard tools to improve transparency and reduce friction across market participants.
51 - 200 employees
💳 Fintech
☁️ SaaS
🤝 B2B
• Design & Develop ETL Workflows • Build robust, scalable data pipelines using CloverDX to extract, transform, and load data across systems. • Handle complex data sources (e.g., derivatives trade data, financial systems) and ensure alignment with business and regulatory requirements. • Transform raw data into structured formats using business rules and logic • Load data into target databases, data lakes, or warehouses • Optimize performance of ETL processes for scalability and efficiency • Conduct data quality checks and validation to ensure accuracy and consistency • Collaborate with data analysts, engineers, and business stakeholders • Maintain and troubleshoot ETL pipelines and resolve data-related issues • Document ETL processes and maintain technical specifications
• Bachelor’s degree in computer science, Information Systems, or related field • Over 5 years of experience in ETL development or data engineering • Proficiency in SQL and ETL tools (e.g., Informatica, Talend, Apache NiFi, SSIS) • Experience with data warehousing concepts and data modeling • Strong understanding of database systems (e.g., Oracle, MySQL, PostgreSQL) • Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) • Knowledge of scripting languages like Python or Shell • Certifications in ETL tools or cloud platforms are a plus
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