Data Engineer at CDC Foundation Contract

, , -

Full Time

Start Date

Immediate

Expiry Date

01 Mar, 26

Salary

143500.0

Posted On

01 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, SQL, Python, ETL, Data Visualization, PostgreSQL, Data Modeling, Cloud Computing, Data Quality, Data Warehousing, Agile Methodologies, Analytical Thinking, Problem Solving, Teamwork, Communication, Documentation

Industry

Non-profit Organizations

Description

Overview The Data Engineer will play a crucial role in advancing the CDC Foundation's mission by designing, building, and maintaining modern data infrastructure for the Northwest Portland Area Indian Health Board (NPAIHB) Data Hub project. Working closely with the Data Hub Team, the Data Engineer will support the architecture needed for data storage, processing, analysis, and secure transfer to Tribal Leaders and public health professionals. The Data Engineer will collaborate with epidemiologists, data content experts, IT staff, the Data Hub Project Director, and others to develop and implement scalable solutions that align with the objectives of the NPAIHB’s Data Hub project. NPAIHB’s Data Hub Team is currently developing a system, “The NW Tribal Data Hub,” to provide comprehensive, user-friendly public health data dashboards for its 43 member Tribes. The Data Engineer will ensure the successful design and implementation of a newly created public health database, the ingestion of additional data into the system, and create tables, views, and other database structures to support epidemiological analysis, visualization, and reporting to Tribes. The data, sourced primarily from state and federal agencies, include vital statistics (births, deaths), cancer registries, emergency department, clinical service data, and others. The Data Engineer's work will be pivotal in enhancing the capacity of Tribal public health departments to conduct data-driven activities, advancing Tribal data sovereignty, and empowering Tribes to improve health outcomes within their communities. The Data Engineer will be hired by the CDC Foundation and assigned to the Data Hub Team at NPAIHB. This position is eligible for a fully remote work arrangement for U.S. based candidates. NPAIHB is a tribally owned and operated non-profit organization serving the 43 federally recognized Tribes in the states of Idaho, Oregon, and Washington. Led by a Board of Directors, NPAIHB’s mission is to “eliminate health disparities and improve the quality of life of American Indians and Alaska Natives by supporting Northwest Tribes in their delivery of culturally appropriate, high-quality health programs and services.” NPAIHB is a mission-driven organization with a staff of over 120 professionals dedicated to advancing Tribal health for the 7th generation in the Pacific Northwest. Responsibilities * Create new and enhance existing systems and pipelines that enable efficient, reliable, and secure flow of data, including ingestion, processing, and storage. * Load data into storage systems or data warehouses, transforming, cleaning, and organizing with dimensional modeling techniques to ensure accuracy, consistency, and efficient querying. * Transform and structure data to ensure it is optimized for use in data visualization software, enabling accurate and effective visual representations of epidemiological data. * Ensure thorough and clear documentation of database architecture and workflows to promote sustainability, consistency, and ease of maintenance. * Apply rigorous data quality checks and validation processes to guarantee the accuracy and reliability of the data released, emphasizing the importance of delivering correct and trustworthy data to support public health initiatives. * 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 epidemiologists, analysts, and other partners to understand current and future 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 a PostgreSQL relational database * Apply knowledge about industry trends, best practices, and emerging technologies in data engineering, and incorporate the trends into the organization's data infrastructure. * Provide technical guidance to other staff on preparing and structuring data for visualization, leveraging knowledge of visualization tools to support the creation of meaningful and insightful visual outputs. * 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, Information Technology, Data Science, or a related field. * Minimum of five (5) years of related informatics experience, preferably with three (3) years of experience in a lead data engineer position. * Demonstrated expertise in building SQL relational databases and transitioning non-relational data into a structured relational format, ensuring seamless integration and optimized performance. * Proficiency in SQL programming and other languages commonly used in data engineering, such as Python, PySpark, Java, Scala. Candidate should be able to implement data automations within existing frameworks as opposed to writing one off scripts. * Experience transforming and preparing data into formats suitable for data visualization software, ensuring it is structured for optimal use in dashboards and other visual outputs. * Strong understanding of database systems, including relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra), with PostgreSQL preferred. * Experience regarding engineering best practices such as source control, automated testing, continuous integration and deployment, and peer review, and serving as a subject matter expert on these topics. * Knowledge of data warehousing concepts and tools. * Experience with cloud computing platforms, with preference for experience in AWS environment. * Expertise in data modeling, ETL (Extract, Transform, Load) processes, and data integration techniques. * Familiarity with agile development methodologies, software design patterns, and best practices. * Strong analytical thinking and problem-solving abilities. * Excellent verbal and written communication skills, including the ability to convey technical concepts to non-technical partners effectively. * Flexibility to adapt to evolving project requirements and priorities. * Outstanding interpersonal and teamwork skills; and the ability to develop productive working relationships with colleagues and partners. * Experience working in a virtual environment with remote partners and teams. * Proficiency in Microsoft Office. * Ability to travel occasionally for in-person meetings (travel costs will be covered by NPAIHB). Preferred Qualifications * Experience gathering requirements and designing and planning data models based on those requirements. * Experience creating complex fields and visuals in AWS QuickSight or similar data visualization tools (Tableau, Microsoft Power BI, etc). * Experience building data pipelines within Amazon Web Services (AWS), such as AWS Relational Database Services (RDS), Amazon Aurora Serverless, AWS Glue, Lambda * Experience working with complex public health, health care, or other non-business data requiring advanced processing and analysis techniques. * Experience transitioning SAS datasets and analyses into relational database structures. * Experience with dimensional modeling in scenarios where dimensions and fields change over time. * Experience with implementing data suppression techniques and familiarity with HIPAA, PHI, and other data confidentiality regulations. Job Highlights * Location: Remote, must be based in the United States * Salary Range: $103,500-143,500, 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, 2026 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. The CDC Foundation is a smoke-free environment. Relocation expenses are not included. 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. About the CDC Foundation The CDC Foundation helps 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. The CDC Foundation manages hundreds of programs each year 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. Visit www.cdcfoundation.org [http://www.cdcfoundation.org] for more information.

Responsibilities

The Data Engineer will design, build, and maintain data infrastructure for the NPAIHB Data Hub project, ensuring efficient data flow and storage. They will collaborate with various teams to implement scalable solutions that support public health initiatives.