Data Engineer

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🔥 50 minutes ago

🏄 California, Illinois, +2 more states – Remote

🏄 California – Remote 🌽 Illinois – Remote 🗽 New York – Remote 🍂 Massachusetts – Remote

💵 $45 - $48 / hour

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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American Cancer Society

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1913

🏥 Healthcare

💼 Consulting

🍽️ Food & Beverage

Healthcare • Consulting • Food & Beverage

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

• Design, develop, and orchestrate modern data pipelines and integrations using Azure Data Factory, Snowflake, dbt, Prefect.io, or Airflow • Implement, administer, monitor, optimize, and manage cloud-based data infrastructure in Microsoft Azure, including Cosmos DB and Snowflake • Develop and deploy advanced data engineering solutions using Python within CI/CD pipelines with unit testing and peer code reviews • Integrate data from internal and external systems using FiveTran, Rivery.io, or OpenFlow • Collaborate with analytics engineers, data scientists, researchers, and business stakeholders to design and refine data models • Support data governance, security, access control, compliance, and documentation, including Snowflake user and instance management • Enable advanced analytics, machine learning, visualization, and research insights across the American Cancer Society • Travel occasionally, approximately 10–15%, for department or project meetings, vendor management, or enterprise workshops • Be available after hours, weekends, and holidays as needed for on-call duties and job responsibilities

🎯 Requirements

• Bachelor's Degree in Computer Science, Engineering, Computational Biology, or equivalent experience • 3+ years of relevant work experience • 3+ years building modern data pipelines, including ETL, cloud storage, reporting, and deployment • Advanced proficiency in Microsoft Azure data engineering, including Azure Data Factory, Azure Databricks, and Cosmos DB • Experience with Snowflake data warehousing and administration • Strong expertise in SQL and Python • Experience developing complex ETL/ELT workflows, automation scripts, and performance-optimized data transformations • Hands-on experience with Prefect.io, Apache Airflow, FiveTran, Rivery.io, or OpenFlow • Experience implementing CI/CD practices, automated testing, code reviews, version control, and deployment pipelines • Experience designing and managing large-scale, high-density structured, semi-structured, and unstructured data systems, including genomics, imaging, and biospecimen datasets • Familiarity with Power BI, Tableau, or Looker • Understanding of healthcare and research data domains, including claims, EHR, survey, and clinical datasets • Knowledge of data governance, compliance, and privacy standards such as HIPAA • Ability to collaborate with data scientists, analytics engineers, and researchers • Availability to work after hours, weekends, and holidays as needed for on-call duties • Occasional travel availability of 10–15%

🏖️ Benefits

• Generous paid time off policy • Medical benefits • Dental benefits • Retirement benefits • Wellness programs • Professional development programs to enhance staff skills