> Markdown version of [/jobs/ext/3143239-full-stack-engineer](https://www.wearedevelopers.com/jobs/ext/3143239-full-stack-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Full Stack Engineer - **Company:** ACI GROUP INC - **Location:** United States - **Experience:** Experienced - **Contract:** Temporary to permanent - **Skills:** Agile Methodology, Artificial Intelligence, Airflow, Amazon Web Services, Amazon S3, Audit Trail, Big Data, Software as a Service, Cloud Engineering, Databases, Data Files, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Systems, Relational Databases, Python (Programming Language), Query Optimization, Cloud Services, SAS (Software), Secure Coding, Software Engineering, SQL Databases, Workflow Management Systems, Data Processing, Enterprise Software Applications, Snowflake, Data Management, Restful APIs, Stream Processing, Data Pipelines, Devsecops - **Published:** September 29, 2026 - **Apply:** https://www.dice.com/job-detail/24cfa0d2-fdcb-4cd2-a95e-fcef469cdb36 ## About the Role * Requires a 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. * Hands-on experience or extensive training in Big Data platforms and large and complex data sets is preferred. * Familiarity with Artificial Intelligence (AI) is preferred. * Familiarity with DevSecOps practices, including secure development, access controls, and auditability is preferred. * Familiarity with SAS is a plus. * Prior experience with Center for Medicare Medicaid Services or other government agencies is preferred. ## Description We are seeking a Mid-Level Full Stack Engineer to help build, enhance, and support cloud-based applications and data solutions across the front end, back end, and database layers. Working closely with engineers, product stakeholders, and cross-functional partners, this person will turn business requirements into reliable, well-tested solutions; build and integrate RESTful APIs; and develop data pipelines and application workflows that support analytics and operational use cases., The engineer will contribute across the software development lifecycle, including technical design, coding, testing, deployment, and production support, with a strong emphasis on Snowflake, ETL development, Apache Airflow orchestration, and AWS-based services. This role includes building and maintaining data integrations, supporting cloud deployments, improving data workflows, and helping ensure applications and pipelines are reliable, maintainable, and aligned with business needs., * 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. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Fully Orchestrating Databricks from Airflow](https://www.wearedevelopers.com/videos/336-fully-orchestrating-databricks-from-airflow) - [The Software Engineer 2030: From Coder To AI Orchestrator? - Patrick Schnell](https://www.wearedevelopers.com/videos/1825-the-software-engineer-2030-from-coder-to-ai-orchestrator-patrick-schnell) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Best Paying Jobs in Technology](https://www.wearedevelopers.com/magazine/256-best-paying-jobs-in-technology) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Fullstack Developer Salary UK](https://www.wearedevelopers.com/magazine/251-fullstack-developer-salary-uk)