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CDC Foundation · 8 hours ago

Data Engineer

United States

Full-time

Remote

Senior Level

$104K/yr - $144K/yr

5+ years exp

The CDC Foundation is a nonprofit organization that collaborates with various partners to enhance public health initiatives. They are seeking a Data Engineer to design, build, and maintain data infrastructure that supports public health agencies, focusing on cloud-based data pipelines and ETL processes. The role involves collaborating with cross-functional teams to ensure data availability for analytics and reporting while implementing best practices in data engineering.

Health Care

Comp. & Benefits

H1B Sponsor Likely

Responsibilities

Develop a detailed plan for database migration, ETL processes, and data processing applications

Design, build, and manage ETL/ELT processes and data pipelines on the Snowflake platform, ensuring the movement of large datasets between various data sources. Develop efficient, scalable data architectures and implement Snowflake best practices, including partitioning, clustering, and query optimization for performance and cost. Collaborate with data scientists, analysts, and Local health departments to integrate diverse data sources into Snowflake, ensuring data is available for analytics and reporting

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

Collaborate with the IT Security Team to conduct security and access testing. Implement security measures to protect sensitive information

Collaborate with cross-functional teams to understand data requirements and design scalable solutions that meet business needs. Collaborate with Systems Architect on overall system health, focusing on data aspects and data warehouse. Collaborate with Systems Architect on infrastructure assessment, focusing on data aspects

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. Create and maintain clear documentation for ETL processes, data pipelines, data models, and infrastructure setups. Develop training materials and conduct online sessions on accessing and utilizing shared data

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

Create a data governance framework for secure and compliant data sharing

Establish successful connection migration plan for ETL processes and APIs between migrated applications and databases

Implement automated processes for data extraction from source systems and loading into the data warehouse

Migrate ETL processes and APIs to the cloud environment

Up to 10% domestic travel may be required

Qualification

SnowflakeETL processesData modelingBig data technologiesPythonAgile methodologiesAnalytical thinkingMicrosoft OfficeCommunication skillsInterpersonal skills

Required

Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field

Minimum 5 years of relevant professional experience

Proficiency in programming languages commonly used in data engineering, such as Python, Java, Scala, or SQL. Candidate should be able to implement data automations within existing frameworks as opposed to writing one off scripts

Experience with big data technologies and frameworks like Hadoop, Spark, Kafka, and Flink

High level of proficiency in Snowflake, including advanced features like Time Travel, Zero-Copy Cloning, and data sharing is required. Experience regarding engineering best practices such as source control, automated testing, continuous integration and deployment, and peer review

Knowledge of data warehousing concepts and tools. Familiarity with data lake and lakehouse architectures

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

Benefits

Plus benefits

Company

CDC Foundation

Glassdoor4.4

The CDC Foundation builds innovative partnerships to advance the Centers for Disease Control.

Founded in 1994

Atlanta, Georgia, USA

1001-5000 employees

http://www.cdcfoundation.org

H1B Sponsorship

CDC Foundation has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (1)

2024 (3)

2023 (4)

2022 (10)

2021 (1)

2020 (4)