ETL Implementation Engineer

Chabez Tech • New York, NY

77d

About The Position

ChabezTech LLC is seeking an ETL Implementation Engineer to join our team. This full-time position is 100% remote and is open to Green Card holders and U.S. Citizens only. The ETL Implementation Engineer will be responsible for designing, building, and maintaining robust ETL pipelines to extract, transform, and load trading and market data from multiple source systems into enterprise data platforms. The role requires a strong understanding of capital markets and data quality governance, as well as the ability to collaborate with various stakeholders to enhance data flows and surveillance effectiveness.

Requirements

• 6–9 years of ETL development or data engineering experience, ideally within financial services or capital markets.
• Strong understanding of market data, trading systems, and financial instruments.
• Proven ability to design and optimize large-scale, complex ETL pipelines.
• Strong proficiency in SQL and scripting languages such as Python or C#.
• Hands-on experience with SQL Server or Oracle, plus familiarity with Spark or Hadoop.
• Experience with platforms like TradingHub, Actimize, or SMARTS is preferred.
• Exceptional analytical and troubleshooting skills for complex data and production issues.
• Excellent written and verbal communication skills for interaction across technical and business teams.
• Understanding of market abuse regulations and compliance requirements.

Responsibilities

• Design, build, and maintain robust, scalable ETL pipelines to extract, transform, and load trading and market data from multiple source systems into enterprise data platforms.
• Configure and integrate enterprise data systems to ensure seamless data flow and optimal performance of analytical and surveillance models.
• Apply deep knowledge of financial markets—including equities, fixed income, FX, and derivatives—to ensure accurate data mapping and transformation.
• Implement frameworks to validate and monitor data completeness and accuracy, reducing false positives and maintaining data integrity.
• Collaborate with business and technology stakeholders to enhance performance, introduce automation, and drive efficiency improvements.
• Investigate and resolve complex data issues, perform root cause analysis, and provide production system support.
• Partner with compliance, risk, trading, and technology teams to improve data flows and surveillance effectiveness.
• Create and maintain comprehensive technical documentation, including data lineage, mappings, and ETL processes.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Bachelor's degree
• Number of Employees: 11-50 employees