Data Engineer

QUANTEAM - North America (RAINBOW PARTNERS Group) • Full-time • Houston, TX, US • $100k - $140k / year • 1w ago

Quanteam is an independent Financial Markets consulting company based in France, the UK, the USA, Canada, and Morocco. Our team of 1.000 employees supports Corporate and Investment Banks, Asset Management Companies, Insurance, and Corporate for their projects in financial engineering, quantitative research, regulatory implementation, SI transformation, and technology innovation.

Mission Objective:

We are looking for a Data Engineer to join a long-term mission and contribute to the overhaul of the settlement data processing system. The role focuses on optimizing high-volume data workflows, implementing modern AWS-based solutions, and ensuring high availability and reliability of critical energy data.

Key Responsibilities:

Redesign and optimize ETL workflows for critical settlement data in energy markets.
Build and orchestrate data pipelines using AWS Step Functions, Lambda, Glue, and other AWS services.
Implement robust data quality, error handling, and audit logging mechanisms.
Automate deployment and monitoring using DevOps best practices.
Collaborate with business and IT teams to ensure consistent and secure data delivery.

Technical Skills:

Strong proficiency in Python for backend development and data processing.
Solid experience with AWS services: Lambda, S3, EC2, Kinesis, Glue, Step Functions.
Familiarity with DevOps tools and practices (CI/CD, monitoring, environment management).
Strong understanding of data pipeline optimization, performance tuning, and large data volume management.

Required Profile:

Minimum 4 years of experience in data engineering or cloud-based data projects.
Proven experience in high-stakes environments such as energy, finance, or telecom.
Strong analytical skills, autonomy, and attention to detail in handling critical data workflows.
Excellent communication skills in English.
AWS certification is mandatory.

Contract & Location: