Remote Full Stack Data Engineer — Snowflake & Airflow

Index Analytics; Baltimore (MD); Remote; USD 99,000 - 140,000; Full time

Job summary

Index Analytics is seeking a Full Stack Engineer to build, enhance, and support cloud-based applications and data solutions. You’ll work across front end, back end, and database layers, turning business requirements into reliable, well-tested solutions.

Key focus areas include RESTful APIs, ETL/ELT pipelines, Snowflake data modeling, and AWS services. You’ll contribute throughout the software development lifecycle—from technical design to production support—collaborating with product

Qualifications

• Requires U.S. citizenship or authorization to work in the U.S. and ability to obtain a federal badge.
• Minimum 8 years of relevant experience with a Bachelor’s degree, or 6 years with a Master’s degree; 4 years may substitute for a degree.
• Experience building full stack apps with modern frameworks, relational databases, and RESTful APIs.
• Experience with SQL and Python for development, data processing, and integration.
• Hands-on experience designing and maintaining ETL/ELT pipelines and data integration workflows.
• Snowflake experience for data modeling, transformation, and query optimization.
• Airflow for workflow orchestration, scheduling, and monitoring.
• Experience supporting cloud-based apps and data solutions in AWS; deployment and troubleshooting.
• Strong communication and collaboration in an Agile environment.

Responsibilities

• Build, test, and maintain full stack applications and data solutions across front end, back end, and database layers.
• Engage in the full SDLC: requirements, design, implementation, testing, deployment, and production support.
• Develop and consume RESTful APIs to enable integration across apps, data platforms, and enterprise systems.
• Create and maintain ETL/ELT pipelines for batch and near-real-time processing and data transformations.
• Develop and support Snowflake data models, transformations, and workflows for scalable processing.
• Use Apache Airflow to orchestrate, schedule, monitor, and troubleshoot data pipelines.
• Collaborate with Cloud Engineering, DevSecOps, and app teams to implement IaC and CI/CD for Snowflake objects.
• Monitor and troubleshoot issues in development and production; document root cause and resolutions.
• Work with cross-functional teams in an Agile environment to deliver data solutions aligning with business needs.

Skills

Strong communication

Teamwork

Problem solving

Agile collaboration

Education

Bachelor’s degree

Master’s degree

Tools

Snowflake

Apache Airflow

AWS

RESTful APIs

SQL

Python

ETL/ELT pipelines

Data modeling

CI/CD / IaC

Job description

Index Analytics is seeking a Full Stack Engineer to build, enhance, and support cloud-based applications and data solutions. You’ll work across front end, back end, and database layers, turning business requirements into reliable, well-tested solutions.

Key focus areas include RESTful APIs, ETL/ELT pipelines, Snowflake data modeling, and AWS services. You’ll contribute throughout the software development lifecycle—from technical design to production support—collaborating with product