Research Application Support Engineer

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🇺🇸 United States – Remote

💵 $82k - $102k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Application Engineer

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American Cancer Society

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1913

🤲 Charity

⚕️ Healthcare Insurance

🤝 Non-profit

Charity • Healthcare Insurance • Non-profit

American Cancer Society is a leading cancer-fighting organization dedicated to improving the lives of people with cancer and their families through advocacy, research, and patient support. Founded in 1913 by volunteers, it remains committed to its mission of ending cancer as we know it, for everyone. The organization impacts over 55 million lives annually by offering diverse career opportunities in various disciplines and maintaining a strong focus on diversity, equity, and inclusion. Through programs like Hope Lodge and a 24/7 cancer helpline, American Cancer Society provides crucial support and information to those affected by cancer. It is also known for its public policy advocacy through the Cancer Action Network, making significant strides in cancer prevention, detection, treatment, and survival.

📋 Description

• 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

• 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

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