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Data System Engineer

Job in Greenwich, Fairfield County, Connecticut, 06831, USA
Listing for: Atlantic Group
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Data Engineer, Data Warehousing
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Summary

The Systems Integration & Data Engineer maintains and improves integrations, automation routines, and data pipelines that connects the CTRM to downstream systems and reporting. This role designs integration patterns, builds ETL pipelines, supports BI reporting distributions, and ensures data outputs (PnL/exposure) match reality.

Key Responsibilities Integration and Automation
  • Design blueprints for how integrations interact, including processes, gates (authentication), and communication patterns across systems.
  • Maintain all in-house connections, vessel tracking, price feeds, document generation tools, and automation utilities.
  • Build and maintain scheduled jobs, ETL routines, and VM scripts; monitor and debug issues.
Data Engineering and Warehouse Management
  • Build and maintain the data warehouse and data models supporting reporting and reconciliation.
  • Manage ETL pipelines between data environments and reporting environments.
  • Implement validation logic and reconciliation checks to ensure data quality and consistency.
Reporting & Distribution
  • Manage reporting distributions and delivery schedules.
  • Support BI development and stakeholder communication for reporting outputs (Power

    BI/Tableau).
  • Ensure PnL and exposure reports match operational reality (sense-checking data).
Required Skills and Experience
  • Fluent in programming languages (Python) with strong scripting skills.
  • Strong SQL, data modeling, and ETL pipeline experience.
  • API architecture, integration patterns, authentication methods, and system design knowledge.
  • BI tools familiarity (Power

    BI/Tableau) and reporting distribution experience.
  • Strong monitoring, debugging, and troubleshooting skills.
  • PnL/exposure and trading/finance data understanding for validation and reconciliation.
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