Data Engineer

American Cancer Society

Data Engineer building Azure, Snowflake, and dbt pipelines for the American Cancer Society. Enabling cancer research, analytics, machine learning, and governed enterprise data.

Posted 8/4/2026full-timeRemote • California, Illinois, Massachusetts, New York • 🇺🇸 United StatesMid-LevelSenior💰 $45 - $48 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates advanced proficiency in Microsoft Azure data engineering, including Azure Data Factory and Cosmos DB, while developing and deploying data pipelines using Python and SQL. Capable of implementing data governance and compliance standards, particularly in healthcare and research data domains.

Highest-signal resume keywords

Microsoft Azure Data EngineeringPython DevelopmentSnowflake AdministrationETL/ELT Workflow DevelopmentData Governance and Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonETLData Pipeline DevelopmentData TransformationCI/CD PracticesAutomated TestingVersion ControlData ModelingData Integration

Soft Skills

CollaborationCommunicationProblem-SolvingAdaptabilityTeamwork

Tools & Technologies

Azure Data FactorySnowflakePrefect.ioApache AirflowFiveTranRivery.ioPower BITableauLookerCosmos DB

Certifications & Qualifications

Bachelor's Degree in Computer ScienceBachelor's Degree in EngineeringBachelor's Degree in Computational Biology

Industry Keywords

Healthcare DataResearch DataData GovernanceHIPAA ComplianceClinical Datasets

Tech Stack

Tools & technologies

AirflowApacheAzureCloudETLPythonSQLTableau

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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