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Research Application Support Engineer
American Cancer Society. Support the American Cancer Society's Discovery pillar through application and data installations .
Tech Stack
Tools & technologiesAWSAzureCloudETLGoogle Cloud PlatformPythonSQL
About the role
Key responsibilities & impact- Support the American Cancer Society's Discovery pillar through application and data installations
- Maintain server environments and assist the IAM team with permissions for research teams
- Install, configure, update, and provide ongoing technical support for research-specific applications and datasets
- Collaborate with business stakeholders and IT product, endpoint, data, architecture, infrastructure, and application support teams
- Provide advanced technical support for SaaS platforms and analytics tools, including SAS, R/RStudio, and government analytical platforms and databases
- Resolve platform, user access, login, and data issues and coordinate with vendors and internal teams
- Maintain and troubleshoot scalable data pipelines supporting analytics, modeling, and reporting
- Advise stakeholders on technology usage and future investment considerations
- Monitor server availability and address downtime or disruptions
- Develop and maintain disaster recovery solutions
- Create technical documentation covering data models, pipelines, server environments, and transformation workflows
- Support software development lifecycle best practices
- Troubleshoot large data models and optimize statistical and analytical workloads
- Diagnose data pipeline and transformation errors and improve model scalability
- Ensure reliable access to trusted data for analytics and business users
Requirements
What you’ll need- Bachelor's Degree in Computer Science, Engineering, or equivalent experience
- 3–5 years of relevant experience
- 3+ years of experience supporting, monitoring, and troubleshooting data pipelines, including ETL, cloud storage, reporting, and deployment
- Experience with SAS and/or R/RStudio highly preferred
- Strong SQL skills
- Proficiency in cloud-based data engineering, preferably Microsoft Azure
- Experience with Azure Data Factory and Azure Databricks
- Familiarity with AWS and GCP is a plus
- Strong experience with R/RStudio, SAS, SQL, and Python
- Hands-on experience with Snowflake and dbt
- Familiarity with CI/CD practices and version control, such as Git and GitHub/GitLab
- Understanding of data quality, privacy, governance, and documentation best practices
- Experience or familiarity with healthcare or research data preferred
- Excellent business relationship and communication skills
- Ability to work after hours, weekends, and holidays as needed; be on call and/or fulfill job responsibilities
- Occasional travel of 10–15% may be required
- Ability to work onsite for the first day for onboarding activities
Benefits
Comp & perks- Generous paid time off policy
- Medical benefits
- Dental benefits
- Retirement benefits
- Wellness programs
- Professional development programs to enhance staff skills
- Remote work arrangement
- Occasional travel opportunities (10–15%)