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Temporary Data Research Jobs in Georgia (NOW HIRING)

American Cancer Society

Temporary - Data Engineer

Atlanta, GA · On-site +1

$110K - $132K/yr

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.

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Apex Informatics

Research/Data Analyst Senior

Atlanta, GA · On-site

$72.57/hr

Identify, compile, and 'clean' data for research projects * Identify, analyze, and interpret trends ... Temp to Hire: No * This position is available for extensions. * Client DOES NOT SHIP EQUIPMENT. The ...

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Temporary Data Research information

What is a temporary data research?

A Temporary Data Research job involves gathering, analyzing, and organizing data for a specific project or a limited period of time. Individuals in this role often collect data from various sources, verify its accuracy, and present findings to help organizations make informed decisions. These positions are typically short-term and may support projects such as market research, academic studies, or business analysis. Temporary data researchers need strong analytical, communication, and organizational skills to succeed in this fast-paced role.

What are some common challenges faced in a temporary data research role, and how can they be managed?

Temporary Data Research positions often require adapting quickly to new projects and datasets, which can be challenging when learning company-specific systems or protocols. Time management is crucial, as assignments typically have tight deadlines and require balancing accuracy with efficiency. Collaborating with permanent team members and seeking clarification early can help overcome initial hurdles, while maintaining organized records ensures data quality and smooth handovers at the end of the assignment.

What are the key skills and qualifications needed to thrive as a temporary data researcher?

To thrive as a Temporary Data Researcher, you need strong analytical skills, attention to detail, and proficiency in data collection and validation, typically supported by a relevant degree or coursework. Familiarity with data management tools like Excel, Google Sheets, and research databases is often required. Excellent organizational skills, adaptability, and clear communication help you efficiently manage tasks and report findings. These skills ensure accurate, timely data delivery and effective support for research projects under tight deadlines.
What are the most commonly searched types of Data Research jobs in Georgia? The most popular types of Data Research jobs in Georgia are:
What cities in Georgia are hiring for Temporary Data Research jobs? Cities in Georgia with the most Temporary Data Research job openings:
Temporary Data Research jobs near you

Temporary - Data Engineer

American Cancer Society

Atlanta, GA • On-site, Remote

$110K - $132K/yr

Full-time

Medical, Dental, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

American Cancer Society rating

7.8

Company rating: 7.8 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

157th of 769 rated non-profit organizations

Job description

At the American Cancer Society, we're working to end cancer as we know it, for everyone. Our employees and 1.3 million volunteers are raising the bar every single day. We are a culture comprised of diverse backgrounds and experience, to better serve our communities.
The people who work at the American Cancer Society focus their diverse talents on our lifesaving mission. It is a calling. And the people who answer it are fulfilled.
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.
ESSENTIAL FUNCTIONS:
  • 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.

EXPERIENCE/QUALIFICATIONS:
  • 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.

The starting rate is $45 to $48. The final candidate's relevant experience/skills will be considered before an offer is extended. Actual starting pay will vary based on non-discriminatory factors including, but not limited to, geographic location, experience, skills, specialty, and education.
ACS provides staff a generous paid time off policy; medical, dental, retirement benefits, wellness programs, and professional development programs to enhance staff skills. Further details on our benefits can be found on our careers site at: jobs.cancer.org/benefits. We are a proud equal opportunity employer.

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