Data Engineer in Charlotte, NC 28202 (Hybrid)

Amicis Global; Charlotte (NC); Hybrid; USD 110,000 - 140,000; Full time

Job summary

Amicis Global seeks a Data Engineer in Charlotte, NC, on a hybrid basis. You will help design and implement a strategic data platform for capital markets data, leveraging Python/PySpark and Azure services.

Join a team spanning the Americas and India, focusing on reference data, securities pricing, and data governance. The role requires 10+ years of relevant experience within financial services and proactive collaboration with cross‑functional teams.

Qualifications

• Data Engineer with Azure cloud experience and modern data stacks.
• Proficient in Python/PySpark and SQL for data processing.
• Experience building data platforms for finance data is a plus.

Responsibilities

• Design and develop a strategic data platform for capital markets data.
• Establish a reference data system for securities and pricing data.
• Collaborate with Data Strategy teams across regions and entities.
• Follow internal development standards and Azure implementation practices.

Skills

Python/PySpark

Azure Cloud

Azure Data Factory

Azure Databricks

SQL

APIs with FastAPI

DevOps / CI/CD

ETL/ELT

Financial services knowledge

Tools

Git

Jenkins

Job description

Title: Data Engineer

Location: Charlotte, NC 28202 (Hybrid)

Duration: 12 Months

Roles and Responsibilities

Client is in the process of leading a Digital Transformation across our Americas Division as we continue to modernize our technology, focus on our data-driven approach, grow, and plan for the future. As a result of this expansion, we are seeking experienced software Data engineers spread across Charlotte (N.C), Jersey City (N.J) and India, with 10+ years of relevant experience to support the design and development of a strategic data platform for * Capital Markets and Nikko Securities Group.
These roles will be part of the Data Strategy team spanning across the * Capital Markets and Nikko securities teams, * Americas Division's broker-dealer and swap-dealer entities.
These roles will be involved in the active development of the data platform in close coordination with the * team, beginning with the establishment of a reference data system for securities and pricing data, and later moving to other data domains.
The consulting team will need to follow internal development standards to contribute to the overall agenda of the Data Strategy team.
The implementation of this strategic platform on *'s Azure Cloud Platform will require solutions and know-how as listed in the qualifications below.
Qualifications and Skills

• Full stack Python/PySpark developer
• Proven experience as a Data Engineer with experience in Azure cloud.
• Experience implementing solutions using -
• Azure cloud services
• Azure Data Factory
• Azure Lake Gen 2
• Azure Databases
• Azure Data Fabric
• API Gateway management
• Azure Functions
• Well versed with Azure Databricks
• Strong SQL skills with RDMS or noSQL databases
• Experience with developing API's using FastAPI or similar frameworks in Python
• Familiarity with the DevOps lifecycle (git, Jenkins, etc.), CI/CD processes
• Good understanding of ETL/ELT processes
• Experience in financial services industry, financial instruments, asset classes and market data are a plus.