Full Stack Engineer

Index Analytics LLC

. Build, test, maintain, and enhance full stack applications and data solutions across front-end, back-end, and database layers .

Posted 9/24/2026full-timeRemote • Maryland • United StatesSeniorLead💰 $99,000 - $140,000 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 solutions in AWS. Proficient in Snowflake for data modeling and transformation, with a solid understanding of Agile methodologies and cross-functional collaboration.

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 Integration WorkflowsAgile MethodologiesRelational DatabasesData ProcessingQuery OptimizationBig Data Platforms

Soft Skills

Strong Communication SkillsCollaboration

Tools & Technologies

Apache AirflowAWSSnowflakeSAS

Certifications & Qualifications

U.S. Federal Government Client Badge

Industry Keywords

Public TrustCenter for Medicare Medicaid ServicesDevSecOps PracticesArtificial Intelligence

Tech Stack

Tools & technologies

AirflowApacheAWSCloudETLPythonSQL

About the role

Key responsibilities & impact

Build, test, maintain, and enhance full stack applications and data solutions across 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 for application, data platform, and enterprise system integration
Build and maintain ETL/ELT data pipelines for batch and near-real-time processing
Implement performant and maintainable data transformation workflows
Develop and support Snowflake data models, transformations, and workflows
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 AWS-based solutions
Implement features integrating with relational databases, S3, and related AWS cloud resources
Partner with Cloud Engineering, DevSecOps, and application teams on infrastructure as code and CI/CD pipelines for Snowflake objects and deployments
Monitor and troubleshoot application, pipeline, and integration issues in development and production environments
Document root cause and resolution steps
Work with cross-functional teams in an Agile environment to deliver application and data solutions supporting business and user needs

Requirements

What you’ll need

U.S. citizen or authorized to work and lived in the U.S. for 3 of the last 5 years
Must be able to obtain a U.S. Federal government client badge and pass a government Public Trust
Minimum of eight (8) years of relevant experience with a Bachelor’s degree, or a Master’s degree with at least six (6) years of experience
Four (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 with analytics, application, and platform teams in an Agile environment
Preferred: hands-on experience or extensive training in Big Data platforms and large and complex data sets
Preferred: familiarity with Artificial Intelligence (AI)
Preferred: familiarity with DevSecOps practices, including secure development, access controls, and auditability
Familiarity with SAS is a plus
Prior experience with Center for Medicare Medicaid Services or other government agencies

Benefits

Comp & perks

Career development opportunities
Educational opportunities
Supportive and collegial team environment
Employee-friendly workplace
Opportunities to reach your potential
Community of great minds with national impact