Senior Data Engineer: AI-Driven Pipelines & Cloud (Remote)

KellyMitchell Group; Orlando (FL); Hybrid; USD 77,000 - 110,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Profit sharing

401k

Job summary

KellyMitchell Group in Orlando, FL seeks a Senior Data Engineer to join a 12-month contract focused on modernizing enterprise data platforms. You will design and build scalable Python/SQL pipelines, leverage Airflow, and work with cloud-based technologies to enable analytics and AI-assisted development.

The ideal candidate has 5+ years of hands-on Python/SQL development, strong ETL/ELT experience, and collaboration skills to work with stakeholders across technical and business teams.

Qualifications

• 5+ years of Python and SQL development in enterprise environments.
• Extensive experience designing and maintaining complex ETL/ELT pipelines.
• Hands-on Airflow experience for orchestration, scheduling, and monitoring.
• Experience building cloud-based data solutions on AWS or Azure.
• Experience with API development and data warehouse design.

Responsibilities

• Design, develop, and maintain large-scale ETL/ELT pipelines using Python and SQL.
• Build, automate, and monitor data workflows with Airflow and cloud tech.
• Create scalable data solutions supporting enterprise analytics and business applications.
• Process and transform billions of records ensuring data quality and performance.
• Collaborate with architects, developers, and stakeholders to translate requirements into technical solutions.
• Develop APIs and support deployments across multiple environments.

Skills

Python development

SQL development

ETL/ELT pipelines

Airflow

Cloud data solutions

API development

Data modeling

Stakeholder communication

Tools

Apache Airflow

Snowflake

Databricks

GitHub

CI/CD

Docker

Kubernetes

Job description

KellyMitchell Group in Orlando, FL seeks a Senior Data Engineer to join a 12-month contract focused on modernizing enterprise data platforms. You will design and build scalable Python/SQL pipelines, leverage Airflow, and work with cloud-based technologies to enable analytics and AI-assisted development.

The ideal candidate has 5+ years of hands-on Python/SQL development, strong ETL/ELT experience, and collaboration skills to work with stakeholders across technical and business teams.