Match score not available

Data Engineer

Remote: 
Full Remote
Contract: 
Salary: 
104 - 144K yearly
Experience: 
Mid-level (2-5 years)
Work from: 
North Dakota (USA), United States

Offer summary

Qualifications:

Bachelor's degree in related field, Minimum 5 years in data engineering, Proficient in programming languages like Python, Java, Scala or SQL, Strong understanding of relational and NoSQL databases, Experience with cloud computing platforms.

Key responsabilities:

  • Create and manage data systems and pipelines for efficient flow
  • Monitor and troubleshoot data pipelines and systems
  • Work closely with stakeholders to meet data requirements
  • Implement security measures for sensitive information
  • Develop and maintain ETL processes for data accuracy
CDC Foundation logo
CDC Foundation Non-profit Organization - Charity Large https://www.cdcfoundation.org/
51 - 200 Employees
See more CDC Foundation offers

Job description

Logo Jobgether

Your missions

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.
Work Schedule: M-F 8:00am-5:00pm CST
Position Type: Grant funded, limited-term opportunity
Position End Date: June 30, 2025

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 Turtle Mountain Band of Chippewa Public Health Department (TMPHD), the Data Engineer will be responsible for creating and managing the architecture for data generation, storage, processing, and analysis. This position involves collaborating with the TMPHD team and other organizational staff to design and implement solutions that address the public health agency’s needs, evaluate existing data governance processes, and establish secure data connections to enhance public health data sources.

The Data Engineer will be hired by the CDC Foundation and assigned to the Turtle Mountain Band of Chippewa Public Health Department. This position is eligible for a fully remote work arrangement for U.S. based candidates.

Responsibilities
  • Create and manage the systems and pipelines that enable efficient and reliable flow of data, including ingestion, processing, and storage.
  • Design, develop, and manage data systems and pipelines to ensure efficient data flow, including ingestion, processing, and storage.
  • Use Rhapsody to integrate data from diverse sources, transform and clean it to maintain accuracy, and load it into data storage systems or warehouses.
  • Work closely with data technicians to deploy a public health surveillance system
  • Optimize data pipelines, infrastructure, and workflows to enhance performance and scalability.
  • Monitor and troubleshoot data pipelines and systems, addressing performance issues, errors, and anomalies.
  • Implement security measures to safeguard sensitive information.
  • Work closely with data scientists, analysts, and other stakeholders to understand their data requirements and ensure that the data infrastructure supports organizational goals.
  • Collaborate with cross-functional teams to design scalable data solutions that align with business needs.
  • Develop and maintain ETL (Extract, Transform, Load) processes to ensure data accuracy and consistency.
  • Manage data storage systems, including relational and NoSQL databases, and data warehouses.
  • Stay informed about industry trends, best practices, and emerging technologies in data engineering, applying this knowledge to the organization's data infrastructure.
  • Provide technical guidance to internal and external team members.
  • Communicate effectively with all organizational levels to gather requirements, provide updates, and present findings.

  • Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.
  • Minimum 5 years of relevant professional experience in data engineering.
  • Proficiency in programming languages commonly used in data engineering, such as Python, Java, Scala, or SQL, with the ability to implement data automations within existing frameworks.
  • Strong understanding of relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra).
  • Experience with establishing Secure File Transfer Protocols (SFTP) and/or Simple Storage Service (S3) connections
  • Familiarity with engineering best practices, including source control, automated testing, continuous integration and deployment, and peer review.
  • Knowledge of data warehousing concepts and tools.
  • Experience with cloud computing platforms.
  • Expertise in data modeling, ETL (Extract, Transform, Load) processes, and data integration techniques.
  • Understanding of agile development methodologies and software design patterns.
  • Strong analytical thinking and problem-solving abilities.
  • Excellent verbal and written communication skills, with the ability to effectively convey technical concepts to non-technical stakeholders.
  • Ability to adapt to evolving project requirements and priorities.
  • Outstanding interpersonal skills and the ability to develop productive working relationships with colleagues and partners.
  • Demonstrated capability to work well independently and as part of a team. 
  • Experience working in a remote environment with distributed teams
  • Proficiency in Microsoft Office.
  • 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.

    Required profile

    Experience

    Level of experience: Mid-level (2-5 years)
    Industry :
    Non-profit Organization - Charity
    Spoken language(s):
    Check out the description to know which languages are mandatory.

    Soft Skills

    • Verbal Communication Skills
    • Analytical Thinking
    • Problem Solving
    • Microsoft Office
    • Social Skills
    • Adaptability
    • Teamwork

    Data Engineer Related jobs