> Markdown version of [/jobs/ext/2564191-temporary-data-engineer](https://www.wearedevelopers.com/jobs/ext/2564191-temporary-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Temporary - Data Engineer - **Company:** American Cancer Society, Inc. - **Location:** Atlanta, GA, United States - **Experience:** Experienced - **Salary:** $93,600.0 - $99,840.0 - **Contract:** Temporary contract - **Skills:** Airflow, Automation of Tests, Unit Testing, Microsoft Azure, Cloud Computing, Code Review, Computational Biology, Continuous Delivery, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Transformation, Data Security, Data Systems, Data Visualization, Data Warehousing, Github, Python (Programming Language), Machine Learning, OpenFlow, Performance Tuning, Power BI, SQL Databases, Tableau (Software), Unstructured Data, Privacy Controls, Azure Data Factory, Delivery Pipeline, Snowflake, Electronic Medical Records, Gitlab, Information Technology, Cosmos DB, Data Management, Looker Analytics, Software Version Control, Data Pipelines, Databricks - **Published:** August 3, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=d3ff2eb19376110f ## About the Role * Minimum Degree Required: Bachelor's Degree in Computer Science, Engineering, Computational Biology, or equivalent experience * Preferred Degree: Choose an item. * Certificate(s) or License(s): * Years of experience: : 3+ years of relevant work experience. 3+ years of building a modern data pipeline, including the ETL, cloud-storage, reporting, and deployment * Driver's License Requirement(s) [Included only if driving is part of the job duties]: KNOWLEDGE, SKILLS, AND ABILITY: * Advanced proficiency in cloud data engineering within Microsoft Azure, including services such as Azure Data Factory, Azure Databricks, and Cosmos DB; experience with Snowflake for data warehousing and administration. * Strong expertise in SQL and Python, including development of complex ETL/ELT workflows, automation scripts, and performance-optimized data transformations. * Hands-on experience with modern orchestration and ingestion platforms such as Prefect.io, Apache Airflow, FiveTran, Rivery.io, or OpenFlow, supporting automated and scalable data movement. * Proven experience implementing CI/CD practices for data engineering - including automated testing, code reviews, version control (e.g., GitHub/GitLab), and deployment pipelines. * Experience designing and managing large-scale, high-density data systems, including structured, semi-structured, and unstructured data such as genomics, imaging, and biospecimen datasets. * Familiarity with BI and visualization tools (e.g., Power BI, Tableau, Looker) and the ability to translate complex research or analytic requirements into optimized data models. * Strong understanding of healthcare and research data domains, including claims, electronic health records (EHR), survey, and clinical datasets; knowledge of data governance, compliance, and privacy standards (e.g., HIPAA). * Demonstrated collaboration skills working with data scientists, analytics engineers, and researchers to deliver high-quality, reliable, and well-documented data solutions. TRAVEL REQUIREMENTS: * Occasional travel- 10-15% - may be required for department or program/project meetings, vendor management, or enterprise workshops. PHYSICAL REQUIREMENTS: * Availability and ability to work after hours, weekends, holidays, etc. as needed, to be on call and/or to fulfill job responsibilities and requirements. ## Description The American Cancer Society (ACS) is seeking a skilled Data Engineer to join our mission-driven team in the fight against cancer. As a key member of ACS's growing enterprise data practice, the Data Engineer will play a central role in designing, building, and optimizing a modern data ecosystem leveraging Microsoft Azure, Snowflake, and Dbt. This position will focus on developing scalable, high-performance data pipelines and infrastructure to enable advanced analytics, machine learning, and research insights across the organization. Working closely with the Senior Director of Data and collaborating with analytics engineers and data scientists, the Data Engineer will help establish and enforce best practices in data architecture, automation, and governance. This is an opportunity to shape the foundation of ACS's data capabilities and make a meaningful impact through data innovation., * Design, develop, and orchestrate modern data pipelines and integrations (30%) - Architect and manage scalable data workflows using Azure Data Factory, Snowflake, dbt, and cloud orchestration tools such as Prefect.io or Airflow, ensuring high performance and reliability. * Implement and manage cloud-based data infrastructure (20%) - Administer and optimize data environments in Microsoft Azure, including Cosmos DB, Snowflake, and related services, performing configuration, monitoring, and cost optimization. * Develop and deploy advanced data engineering solutions (20%) - Utilize Python for complex data transformation, automation, and performance optimization within robust CI/CD pipelines with comprehensive unit testing and peer code reviews. * Integrate data from diverse sources (10%) - Leverage ingestion platforms such as FiveTran, Rivery.io, or OpenFlow to streamline and automate data collection from internal and external systems. * Collaborate with cross-functional teams (10%) - Partner with analytics engineers, data scientists, and business stakeholders to design and refine data models that power research, visualization, and machine learning initiatives. * Support data governance, security, and documentation (10%) - Implement and enforce best practices for data security, access control, and compliance, including Snowflake user and instance management. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [WeAreDevelopers LIVE - Modern DevOps for IoT Devices and More](https://www.wearedevelopers.com/videos/1805-wearedevelopers-live-modern-devops-for-iot-devices-and-more) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [The 12 Best Jobs for Software Engineers](https://www.wearedevelopers.com/magazine/401-the-12-best-jobs-for-software-engineers) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries)