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1–2 jobs· newest first

Data Engineer - Hybrid
SMBC · Charlotte, US+1 more
$70–$70Hybrid · Contract
Data Engineer Confirmé H/F
mc2i · Paris
Senior

+10K new in the last hour

S

Data Engineer - Hybrid

SMBC · Posted Nov 9, 2026

Charlotte, North Carolina, United States +1 more
Hybrid
Contract
$70–$70 per hour
10+ years

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Lead the design and development of a strategic data platform on Azure Cloud for a Global Financial Institution.

Locations (2)

Charlotte, North Carolina, United States
Jersey City, New Jersey, United States

Compensation

Pay range up to: $70.23 per hour

Responsibilities

Participate in the active development of the data platform in close coordination with the team
Contribute to the establishment of a reference data system for securities and pricing data
Follow internal development standards to contribute to the overall agenda of the Data Strategy team
Implement solutions for the strategic platform on the Azure Cloud Platform

Requirements

Nice to have: Experience in financial services industry, financial instruments, asset classes and market data are a plus

Skills

Full stack Python/PySpark developer Proven experience as a Data Engineer with experience in Azure cloud Experience implementing solutions using Azure cloud services such as Azure Data Factory, Azure Lake Gen 2, Azure Databases, Azure Data Fabric, API Gateway management, and Azure Functions Well versed with Azure Databricks Strong SQL skills with RDBMS or NoSQL databases Experience with developing APIs using FastAPI or similar frameworks in Python Familiarity with the DevOps lifecycle (git, Jenkins, etc) and CI/CD processes Good understanding of ETL/ELT processes Azure

Benefits

Access to hundreds of clients
Behavioral Health Platform
Medical, Dental, Vision
Health Savings Account
Voluntary Hospital Indemnity (Critical Illness & Accident)

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Data Engineer Confirmé H/F

mc2i · Posted Oct 2, 2026

Paris
Senior
3+ years

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Data Engineer Confirmé

Responsibilities

Concevoir et développer des pipelines de données robustes et scalables
Participer à la définition des architectures cibles avec les architectes et les équipes DataOps
Industrialiser les traitements dans le cloud (Azure, AWS, GCP) avec des architectures modernes
Optimiser les performances des traitements et des pipelines
Participer à la mise en production, au déploiement et à l’automatisation des traitements

Requirements

Diplômé(e) d’une grande école d’ingénieurs ou d’un master universitaire spécialisé en Data&IA

Skills

Python SQL Spark PySpark Airflow Databricks Kafka Snowflake

Azure Data Factory

Azure Lake Gen 2

Azure Databricks

Azure Data Fabric

containerisation

Benefits

Prime de participation
CSE
FCPE
remboursement à 100% de votre titre de transport en commun
possibilité de télétravail

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