Senior Data Engineer - 26-01958


IT - NC - Charlotte, NC
Charlotte, North Carolina
Locations: Charlotte, Concord, Gastonia, Huntersville
Posted On: February 25, 2026
Last Day to Apply: March 11, 2026
Pay: From $700 per day

Senior Data Engineer

Location: New York, NY
Employment Type: Contract / Full-Time (as applicable)


Position Overview

We are seeking a highly experienced Senior Data Engineer to join a dynamic technology team supporting enterprise data platforms and analytics initiatives. The ideal candidate will have strong hands-on expertise in modern data engineering tools, cloud-based data platforms, and end-to-end SDLC processes.


Key Responsibilities

  • Analyze and interpret technical specifications and business requirements

  • Collaborate with business analysts and stakeholders to define data solutions

  • Design, develop, and maintain applications using:

    • Python

    • SQL Server

    • Snowflake

    • Azure Databricks

  • Architect and implement scalable data pipelines and ETL workflows

  • Develop and maintain data models and schemas for integration and analytics

  • Implement data validation and quality control mechanisms

  • Execute Unit Testing (UT) and support System Integration Testing (SIT)

  • Partner with business teams to support User Acceptance Testing (UAT)

  • Provide production support, monitoring, and ongoing platform maintenance

  • Participate in CI/CD pipeline implementation and release management


Required Experience

General Qualifications

  • 12+ years of IT industry experience

  • Strong communication and stakeholder engagement skills

  • Experience working within Agile and SDLC frameworks

  • Proven design and architecture experience

  • Experience working in global delivery models (onshore/offshore/nearshore)

  • Strong analytical and problem-solving skills

  • Self-motivated team player capable of working with minimal supervision


Mandatory Technical Skills

  • Python

  • SQL Server & relational database concepts

  • Azure Databricks

  • Snowflake

  • ETL development

  • Scheduler tools (Autosys / Control-M)

  • CI/CD pipelines


Preferred Skills

  • PySpark

  • Experience in financial systems, capital markets, credit risk, or regulatory application development

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