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Temporary Data Collection Jobs in Atlanta, GA (NOW HIRING)

American Cancer Society

Temporary - Data Engineer

Atlanta, GA · On-site +1

$110K - $132K/yr

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.

GREENMAN-PEDERSEN INC.

Survey Party Chief

Marietta, GA · On-site

Ensures the timeliness and quality control of survey data collection. * Responsible for field data ... Responsible for setting up temporary traffic control and ensuring crew safety. * Responsible for ...

Monitise

Sr. B2B Collection Representative

Marietta, GA · On-site

$16 - $20.75/hr

Proficiency with computer systems and accessing information to provide data to clients. What Would ... Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or ...

Fiserv, Inc.

Sr. B2B Collection Representative

Marietta, GA · On-site

$16 - $20.75/hr

Proficiency with computer systems and accessing information to provide data to clients. What Would ... Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or ...

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How much do temporary data collection jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for temporary data collection in Atlanta, GA is $24.34, according to ZipRecruiter salary data. Most workers in this role earn between $22.40 and $24.95 per hour, depending on experience, location, and employer.

What is temporary data collection?

Temporary data collection refers to short-term positions where individuals are hired to gather, record, and sometimes process data for a specific project or purpose. These roles can involve tasks such as conducting surveys, compiling research data, or entering information into databases. Temporary data collection jobs are often project-based and may last from a few days to several months, depending on the needs of the employer. This type of work is common in fields like market research, academic studies, and government censuses.

What are some common challenges faced in a temporary data collection role, and how can I prepare for them?

Temporary Data Collection roles often require quickly adapting to new tools, procedures, or datasets with minimal onboarding. You may encounter repetitive tasks, tight deadlines, or varying data quality, which can be challenging without strong attention to detail and organizational skills. To prepare, familiarize yourself with common data entry software, practice maintaining accuracy under time constraints, and be proactive in asking clarifying questions about project requirements. Building good communication with supervisors and team members will also help ensure data integrity and workflow efficiency.

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

To thrive as a Temporary Data Collection Specialist, you need strong attention to detail, accuracy, and basic data entry skills, often supported by a high school diploma or equivalent. Familiarity with spreadsheet software like Microsoft Excel, data entry platforms, and sometimes survey tools is typically required. Reliability, time management, and the ability to follow instructions carefully are crucial soft skills for this position. These abilities ensure that collected data is accurate, organized, and delivered on time, which is vital for informed decision-making in various projects.
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Temporary Data Collection 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 2 days ago. 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

158th of 771 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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