Job Overview – Data Engineer (Systems Integration)
Compensation: $110,000 – $140,000/year + bonus
Location: Stamford, CT
Schedule: Monday to Friday (In-Office)
Atlantic Group is hiring a Data Engineer (Systems Integration) in Stamford, CT for our client, supporting core data infrastructure and integration initiatives. In this in-office role, you will design and maintain data warehouses, ETL pipelines, and system integrations that power reporting, reconciliation, and operational workflows. This hands-on role includes significant greenfield work, standardizing data processes and scaling integrations across internal and external systems over time.
Responsibilities as the Data Engineer (Systems Integration):
- Data Architecture & Integration Design: Design and implement integration architectures, defining data flows, authentication, and communication patterns across systems.
- Data & Modeling: Build and maintain data warehouses and data models supporting reporting, reconciliation, and operational analytics.
- ETL & Pipeline Development: Develop and manage ETL pipelines, scheduled jobs, and scripts to move data across source, operational, and reporting environments.
- System Integrations & Automation: Maintain and enhance integrations with brokers, exchanges, accounting systems, market data feeds, and internal automation tools.
- Data Quality, Reconciliation & Monitoring: Implement validation and reconciliation checks, monitor pipelines, and troubleshoot issues to ensure accurate PnL, exposure, and operational reporting.
Qualifications for the Data Engineer (Systems Integration):
- Education: Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field required.
- Experience: 2-5 years of hands-on experience in data engineering or systems integration roles, with a strong focus on ETL and data infrastructure.
- Industry Knowledge: Understanding of financial and trading data, including PnL and exposure concepts, with experience supporting reporting, reconciliation, and stakeholder-facing outputs.
- Technical Skills: Strong Python and SQL expertise with hands-on experience building production data pipelines, ETL processes, data models, and system integrations using APIs and modern data architectures.
- Skills & Attributes: Strong problem-solving and debugging skills, the ability to work deep in code, and a proactive mindset suited to greenfield projects and evolving technical environments.
Application Notice: Qualified candidates will be contacted within 2 business days of application. If an applicant does not meet the above criteria, Atlantic Group will keep your resume on file for future opportunities and may contact you for further discussion.