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Data Engineer - job 1 of 3

The CDC Foundation helps the Centers for Disease Control and Prevention (CDC) save and improve lives by unleashing the power of collaboration between CDC, philanthropies, corporations, organizations and individuals to protect the health, safety and security of America and the world. The CDC Foundation is the go-to nonprofit authorized by Congress to mobilize philanthropic partners and private-sector resources to support CDC’s critical health protection mission. Since 1995, the CDC Foundation has raised over $1.9 billion and launched more than 1,300 programs impacting a variety of health threats from chronic disease conditions including cardiovascular disease and cancer, to infectious diseases like rotavirus and HIV, to emergency responses, including COVID-19 and Ebola. The CDC Foundation managed hundreds of programs in the United States and in more than 90 countries last year. Visit www.cdcfoundation.org for more information.  


Job Highlights


· Location: Remote, must be based in the United States

· Salary Range: $103,500-$143,500 per year, plus benefits. Individual salary offers will be based on experience and qualifications unique to each candidate.

· Position Type: Grant funded, limited-term opportunity

· Position End Date: June 30, 202


Overview


The Data Engineer will play a crucial role in advancing the CDC Foundation's mission by designing, building, and maintaining data infrastructure for a public health organization. This role is aligned to the Workforce Acceleration Initiative (WAI). WAI is a federally funded CDC Foundation program with the goal of helping the nation’s public health agencies by providing them with the technology and data experts they need to accelerate their information system improvements.

Working within Cleveland Department of Public Health (CDPH). The Data Engineer is responsible for enabling data integration and data preparation pipelines for downstream analytics on behalf of the Office of Epidemiology and Population Health. This role requires business intuition and ability to use a variety of technical and soft skills necessary to collaborate across departments.


The Data Engineer will be hired by the CDC Foundation and assigned to the Epidemiologist responsible for informatics in the Office of Epidemiology and Population Health (OEPH). The Data Engineer will additionally cooperate with the Office of Urban Analytics & Innovation (Urban AI) at the City of Cleveland for alignment on data infrastructure requirements and best practices for the enterprise. This position is eligible for a fully remote work arrangement for U.S. based candidates.



Responsibilities


· Utilize software engineering methods and tools on a common data analytic platform to integrate, process and prepare multiple sources of data for downstream public health surveillance analyses.

· Collaborate with the Data Analyst and Epidemiologists to understand data requirements, develop and maintain data pipelines automating data transformation tasks.

· Perform data linkages between public health surveillance data and geospatial data assets.

· Document data transformation processes and maintain comprehensive records for reproducibility.

· Test data and/or applications to validate data accuracy/quality

· Track projects from conceptualization to completion, including helping to create project roadmaps, project plans and requirements documentation

· Create and manage the systems and pipelines that enable efficient and reliable flow of data, including ingestion, processing, and storage.

· Collect data from various sources, transforming and cleaning it to ensure accuracy and consistency. Load data into storage systems or data warehouses.

· Optimize data pipelines, infrastructure, and workflows for performance and scalability.

· Monitor data pipelines and systems for performance issues, errors, and anomalies, and implement solutions to address them.

· Implement security measures to protect sensitive information.

· Collaborate with data scientists, analysts, and other partners to understand their data needs and requirements, and to ensure that the data infrastructure supports the organization's goals and objectives.

· Collaborate with cross-functional teams to understand data requirements and design scalable solutions that meet business needs.

· Implement and maintain ETL processes to ensure the accuracy, completeness, and consistency of data.

· Design and manage data storage systems, including relational databases, NoSQL databases, and data warehouses.

· Knowledgeable about industry trends, best practices, and emerging technologies in data engineering, and incorporating the trends into the organization's data infrastructure.

· Provide technical guidance to other staff.

· Communicate effectively with partners at all levels of the organization to gather requirements, provide updates, and present findings.


Qualifications


· Bachelor's degree in computer science or information systems, or equivalent experience

· Demonstrated ability in complex data management and data preparation, including but not limited to data storage, data standardization, and data operations, for data warehousing efforts

· Experience working with data integration frameworks

· Experience working with cloud services & infrastructure (Microsoft Azure Databricks preferred)

· Experience in designing, writing, and delivering code in a team environment, using source code control, unit testing, and other software engineering principles (e.g., Java, Python, R)

· Ability to thrive in a project-based, team environment

· Preferred Skills

· Spatial data experience, e.g. geopandas or ArcGIS



Special Notes


This role is involved in a dynamic public health program. As such, roles and responsibilities are subject to change as situations evolve. Roles and responsibilities listed above may be expanded upon or updated to match priorities and needs, once written approval is received by the CDC Foundation in order to best support the public health programming.


All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, national origin, age, mental or physical disabilities, veteran status, and all other characteristics protected by law.


We comply with all applicable laws including E.O. 11246 and the Vietnam Era Readjustment Assistance Act of 1974 governing employment practices and do not discriminate on the basis of any unlawful criteria in accordance with 41 C.F.R. §§ 60-300.5(a)(12) and 60-741.5(a)(7). As a federal government contractor, we take affirmative action on behalf of protected veterans.


The CDC Foundation is a smoke-free environment.

 

Relocation expenses are not included.

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Average salary estimate

$123500 / YEARLY (est.)
min
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$103500K
$143500K

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What You Should Know About Data Engineer, CDC Foundation

If you're passionate about public health and excited about leveraging data to drive meaningful change, then the Data Engineer role at the CDC Foundation might be your perfect match! As part of this dynamic team, you'll play a pivotal part in shaping the future of health data infrastructure for public health organizations. Based in Ohio, this position allows for a fully remote arrangement, offering flexibility while you collaborate with various stakeholders to enhance data systems. Your main responsibility will be to design, build, and maintain data pipelines that enable crucial analytics for the Office of Epidemiology and Population Health. You’ll work closely with epidemiologists and data analysts, ensuring their data needs are met effectively. With a salary range reflecting your experience between $103,500 and $143,500, plus additional benefits, this limited-term grant-funded opportunity makes for an exciting career move. You'll have the chance to utilize your technical skills in data integration, cloud services, and programming languages like Java and Python. The work environment fosters your growth as you document processes, optimize data flows, and implement best practices for data security and quality. If you're driven by collaboration and eager to improve public health outcomes through data engineering, consider joining the CDC Foundation and help us make a difference!

Frequently Asked Questions (FAQs) for Data Engineer Role at CDC Foundation
What are the primary responsibilities of a Data Engineer at the CDC Foundation?

The Data Engineer at the CDC Foundation is mainly responsible for designing, building, and maintaining data infrastructure that supports public health initiatives. This includes developing data pipelines, integrating various data sources, collaborating with epidemiologists and data analysts, and ensuring data accuracy and security, all vital for effective public health surveillance.

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What qualifications are necessary for the Data Engineer position at the CDC Foundation?

To become a Data Engineer at the CDC Foundation, candidates should possess a bachelor's degree in computer science or a related field, along with experience in data management, integration frameworks, and cloud services, particularly Microsoft Azure Databricks. Familiarity with programming languages such as Java and Python is also essential for this role.

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Can the Data Engineer at the CDC Foundation work remotely?

Yes, the Data Engineer role at the CDC Foundation is open to fully remote work arrangements for candidates based in the United States. This flexibility allows you to collaborate effectively with team members while supporting public health initiatives from anywhere.

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What technical skills are required for the Data Engineer role at the CDC Foundation?

The Data Engineer position at the CDC Foundation requires strong skills in data integration and management, cloud services (with a preference for Azure Databricks), and proficiency in languages such as Java and Python. Knowledge of ETL processes and data storage systems is also necessary to meet the organization’s data needs.

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How does the Data Engineer contribute to the CDC Foundation's core mission?

The Data Engineer plays a critical role in advancing the CDC Foundation's mission by enabling efficient data infrastructure that enhances public health monitoring and decision-making. By developing reliable data pipelines and integrating various data sources, the Data Engineer helps improve the quality and accessibility of public health data, ultimately impacting health outcomes.

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Common Interview Questions for Data Engineer
Can you describe your experience with data integration frameworks?

When answering this question, focus on specific frameworks you have utilized in past projects. Discuss the challenges you faced, how you overcame them, and the final results of your data integration efforts. Highlight your ability to collaborate with stakeholders to ensure data meets their requirements.

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What steps do you take to ensure data accuracy and quality?

To answer this, outline your methodical approach to validating data. Explain the tools and techniques you use to test data for accuracy and quality, such as automated testing frameworks or manual verification processes, and how you document these for reproducibility.

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How do you optimize data pipelines for performance?

Discuss specific strategies you've implemented in previous roles to enhance the performance of data pipelines. This could include identifying bottlenecks, utilizing caching mechanisms, or parallel processing techniques to improve efficiency.

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What programming languages are you proficient in and how have they been applied in your previous work?

List the programming languages you're familiar with, such as Java and Python, and provide examples of projects where you've applied these languages. Discuss any data transformation tasks you automated using these languages to underline your technical skills.

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Can you explain a successful data project you've completed from conceptualization to completion?

Share a detailed overview of a specific data project, outlining how you defined the scope, gathered requirements, developed the plan, executed the project, and measured success. Emphasize collaborative efforts and communication with team members throughout the process.

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How do you handle working in a project-based team environment?

Express your adaptability and communication skills as key assets in a project-based team. Share any personal experiences where collaboration led to project success, emphasizing how you've contributed to a positive team dynamic.

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What experience do you have with cloud services, particularly Microsoft Azure?

Detail your hands-on experience with cloud services, focusing on any specific Azure tools or features you've utilized. Explain how this experience has benefited past projects, particularly in data storage or processing.

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How do you stay updated on the latest trends in data engineering?

Discuss the resources you use to keep your skills current, such as online courses, industry blogs, or networking with peers. Emphasize your commitment to continuous learning and applying new knowledge to your work.

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What strategies do you use for effective documentation of data processes?

Explain your systematic approach to documentation, which could include using tools like Confluence or Git. Highlight the importance of clear, detailed records for reproducibility and collaboration among team members.

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In what ways do you ensure security measures are in place when handling sensitive data?

Emphasize your understanding of data security principles, such as encryption, access controls, and compliance with regulations. Provide examples where you've implemented secure data handling practices in previous roles.

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Full-time, remote
DATE POSTED
April 3, 2025

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