Full Stack Engineer - Remote Work

About the Company

The hiring organization is seeking an experienced software and data engineering professional to support the development and delivery of application and data solutions. The position involves working with cloud infrastructure, enterprise systems, data platforms, and cross-functional technical teams to address business and user needs.

About the Role

The company is looking for an experienced Software Engineer to contribute across the full software development lifecycle, with a strong focus on full stack development, data engineering, and cloud-based solutions. The role involves building and maintaining applications, developing ETL/ELT pipelines, integrating relational databases and AWS services, and supporting data workflows in Snowflake.

The successful candidate will work with technologies including SQL, Python, Apache Airflow, Snowflake, and AWS. Responsibilities also include application troubleshooting, API development, workflow orchestration, and collaboration with cloud engineering, DevSecOps, and application teams.

This is a full-time, fully remote position. Candidates must be based in the United States and work in the Eastern Time (ET) zone. Preference will be given to candidates located in the Washington, D.C. metropolitan area (DMV).

Key Responsibilities

• Contribute throughout the software development lifecycle, including requirements analysis, technical design, implementation, testing, deployment, and production support.
• Monitor and troubleshoot application, pipeline, and integration issues across development and production environments, documenting root causes and resolutions.
• Develop application features and data pipelines that integrate with relational databases and AWS services, including S3 and related cloud resources.
• Build, test, maintain, and enhance full stack applications and data solutions across frontend, backend, and database layers.
• Develop and consume RESTful APIs to connect applications, data platforms, and enterprise systems.
• Build and maintain ETL/ELT pipelines for batch and near-real-time data processing.
• Develop data transformation workflows that are efficient, maintainable, and reliable.
• Build and support Snowflake data models, transformations, and workflows for scalable 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 AWS-based solutions.
• Work with cloud engineering, DevSecOps, and application teams to implement Infrastructure as Code (IaC) and CI/CD pipelines for Snowflake objects and deployments.
• Collaborate with cross-functional teams in an Agile environment to deliver application and data solutions that meet business and user requirements.

Required Qualifications

• At least 8 years of relevant software development or engineering experience.
• Experience building full stack applications using modern development frameworks, relational databases, and RESTful APIs.
• Strong hands-on experience designing, developing, and maintaining ETL/ELT pipelines and data integration workflows.
• Experience supporting cloud-based applications and data solutions in AWS, including deployment, monitoring, and troubleshooting.
• Experience using SQL and Python for application development, data processing, and integration tasks.
• Experience with Snowflake data modeling, transformation, and query optimization.
• Experience using Apache Airflow for workflow orchestration, scheduling, and monitoring.
• Strong analytical, problem-solving, and attention-to-detail skills.
• Experience collaborating with analytics, application, and platform teams in an Agile environment.
• Excellent communication and collaboration skills, including the ability to explain complex technical and analytical concepts to executive and non-technical stakeholders.
• Ability to translate unclear business questions into practical analytical solutions.
• Must be authorized to work in the United States without employment sponsorship.
• Must be able to complete, pass, and maintain at least a federal Public Trust investigation.
• Must have resided in the United States for at least 3 years within the past 5 years.
• Must be based in the United States and able to work an Eastern Time (ET) schedule.

Education

• A bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field is preferred.
• A master's degree in a relevant field is also preferred.
• An additional 4 years of specialized experience may be substituted for a bachelor's degree.

Preferred Qualifications

• Experience supporting federal or regulated environments, including healthcare or financial systems.
• Hands-on experience or extensive training with Big Data platforms and large, complex datasets.
• Familiarity with DevSecOps practices, including secure development, access controls, and auditability.
• Familiarity with SAS.
• Familiarity with Artificial Intelligence (AI).

Location & Work Arrangement

• Remote – Washington, D.C. Metro Area (DMV), Maryland.
• Full-time employment.
• 100% remote work arrangement.
• Candidates must be based in the United States.
• Eastern Time (ET) zone work schedule required.
• Preference for candidates located in the Washington, D.C. metropolitan area.

Salary & Benefits

The salary range for this position is $98,000–$140,000. Compensation decisions depend on several factors, including skill sets, experience, training, security clearances, licensure, certifications, and other business and organizational needs.

Employment Requirements

This is a full-time employment opportunity. Candidates must have U.S. work authorization without sponsorship and be able to complete, pass, and maintain a federal Public Trust investigation. Candidates must also meet the U.S. residency requirement of at least 3 years within the past 5 years.