Senior Full Stack Engineer

Index Analytics LLC

Senior Full Stack Engineer at Index Analytics building and supporting cloud-based applications and data solutions. Collaborating across teams to deliver reliable, well-tested solutions for federal government.

Posted 7/28/2026full-timeRemote • Maryland • 🇺🇸 United StatesSenior💰 $133,000 - $183,750 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining full stack applications and data solutions, with a strong focus on ETL/ELT processes, RESTful API development, and cloud-based deployments in AWS. Proficient in utilizing Snowflake for data modeling and Apache Airflow for workflow orchestration.

Highest-signal resume keywords

Full Stack Application DevelopmentETL/ELT Pipeline DesignSnowflake Data ModelingApache Airflow Workflow OrchestrationAWS Cloud Solutions

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonRESTful APIsData TransformationData ProcessingApplication DevelopmentIntegration WorkflowsQuery OptimizationAgile MethodologiesTechnical Design

Soft Skills

Strong Communication SkillsCollaboration

Tools & Technologies

AWSSnowflakeApache Airflow

Industry Keywords

Data SolutionsSoftware Development LifecycleInfrastructure as CodeCI/CD PipelinesRelational Databases

Tech Stack

Tools & technologies

AirflowApacheAWSCloudETLPythonSQL

About the role

Key responsibilities & impact

Build, test, maintain, and enhance full stack applications and data solutions across the front end, back end, and database layers.
Contribute across the software development lifecycle, including requirements analysis, technical design, implementation, testing, deployment, and production support.
Develop and consume RESTful APIs to support integration between applications, data platforms, and enterprise systems.
Build and maintain ETL/ELT data pipelines to support batch and near-real-time data processing, and implement data transformation workflows that are performant and maintainable.
Develop and support data models, transformations, and workflows in Snowflake to enable scalable and efficient data processing.
Use Apache Airflow to orchestrate, schedule, monitor, and troubleshoot data pipelines and automated workflows.
Collaborate with infrastructure and application teams to deploy, support, and improve solutions in AWS.
Implement application and data pipeline features that integrate with relational databases and AWS services such as S3 and related cloud resources.
Partners with Cloud Engineering, DevSecOps, and application teams to implement infrastructure as code (IaC) and CI/CD pipelines for Snowflake objects and deployments.
Monitor and troubleshoot application, pipeline, and integration issues in development and production environments, and document root cause and resolution steps.
Work with cross-functional teams in an Agile environment to deliver application and data solutions that support business and user needs.

Requirements

What you’ll need

US citizen or Authorized to Work and lived in the US for 3 of the last 5 years
Minimum of 8 years of relevant experience with a Bachelor’s degree, or a Master’s degree with at least 6 years of experience
4 years of specialized experience may be substituted for a Bachelor’s degree
Experience building full stack applications using modern development frameworks, relational databases, and RESTful APIs
Experience with SQL and Python for application development, data processing, and integration tasks
Hands-on experience designing, building, and maintaining ETL/ELT pipelines and data integration workflows
Experience with Snowflake for data modeling, transformation, and query optimization
Experience using Apache Airflow for workflow orchestration, scheduling, and monitoring
Experience supporting cloud-based applications and data solutions in AWS, including deployment, monitoring, and troubleshooting
Strong communication skills and experience collaborating in an Agile environment.

Benefits

Comp & perks

health and retirement benefits
discretionary bonuses
reimbursement for professional development opportunities