Research Application Support Engineer

American Cancer Society

Research Application Support Engineer working remotely within the U.S. at the American Cancer Society.

Posted 7/8/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $82,000 - $102,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in supporting and troubleshooting data pipelines, with proficiency in cloud-based data engineering and analytics tools. Strong collaboration and communication skills are essential for working with IT and business stakeholders to ensure reliable data access.

Highest-signal resume keywords

Data Pipeline SupportCloud-Based Data EngineeringR/RStudio ProficiencyMicrosoft Azure ServicesETL and Data Transformation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline MonitoringETLSQLPythonSASData ManipulationData TransformationAutomationData WarehousingDisaster Recovery Solutions

Soft Skills

Business Relationship SkillsCommunication Skills

Tools & Technologies

Microsoft AzureAzure Data FactoryAzure DatabricksSnowflakeDbtGitGitHubGitLab

Industry Keywords

SaaS PlatformsAnalytics ToolsCI/CD PracticesData ChallengesReporting

Tech Stack

Tools & technologies

AzureCloudETLPythonSQL

About the role

Key responsibilities & impact

Provide advanced technical support for SaaS platforms and analytics tools
Collaborate with vendors and internal teams to quickly address platform, user access, and data challenges
Provide ongoing support for scalable data pipelines
Maintain and troubleshoot data pipelines to keep analytics and reporting running smoothly
Proactively monitor server availability to ensure systems remain operational
Develop and maintain robust disaster recovery solutions
Support and troubleshoot large data models within advanced analytics platforms
Work collaboratively with various IT and business stakeholders to 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 with supporting, monitoring, troubleshooting data pipelines including the ETL, cloud-storage, reporting, and deployment
SAS or R/R Studio experience preferred
Proficiency in cloud-based data engineering, preferably within Microsoft Azure, including services such as Azure Data Factory, Azure Databricks
Strong experience with R/RStudio, SAS, SQL, and Python, including data manipulation, transformation, and automation in support of scalable data pipelines
Hands-on experience with modern data warehousing and transformation tools, including Snowflake and Dbt
Familiarity of CI/CD practices and version control (e.g., Git, GitHub/GitLab)
Excellent business relationship and communication skills

Benefits

Comp & perks

paid time off
medical benefits
dental benefits
retirement benefits
wellness programs
professional development programs