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Cdc Jobs in Delaware (NOW HIRING)

Photon

Data Engineer Lead

Newark, DE · On-site

Drive delivery of data change detection (CDC) and the data validation/quality testing framework. Own "contract as code" governance: data schema management via CI/CD and Git-based data governance.

Photon

Lead Data Engineer | Onsite - Delaware

Wilmington, DE · On-site

$111K - $133K/yr

Drive delivery of data change detection (CDC) and the data validation/quality testing framework. * Own "contract as code" governance: data schema management via CI/CD and Git-based data governance

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Cdc information

What is a CDC?

CDC jobs refer to employment opportunities at the Centers for Disease Control and Prevention, a federal agency under the U.S. Department of Health and Human Services. These positions span a wide range of fields including public health, epidemiology, data analysis, laboratory science, policy, and administration. Working at the CDC involves helping to protect public health, conduct research, and respond to health emergencies in the United States and around the world. CDC employees play a critical role in disease prevention, health promotion, and preparedness for public health threats.

What is the difference between Cdc vs Epidemiologist?

AspectCdcEpidemiologist
CredentialsPublic health degree, CDC-specific trainingPublic health or related degree, often with epidemiology focus
Work EnvironmentGovernment agency, public health settingsResearch institutions, government, healthcare organizations
Industry UsagePublic health, disease control, health policyResearch, disease investigation, data analysis

While the CDC (Centers for Disease Control and Prevention) is a federal agency focused on disease prevention and health promotion, an epidemiologist is a professional who studies disease patterns and causes. Many epidemiologists work within the CDC, but they also operate in various other settings. The CDC employs epidemiologists to implement public health initiatives, making the roles interconnected but distinct: CDC is an organization, whereas epidemiologist is a profession.

What are the key skills and qualifications needed to thrive as a CDC?

To thrive as a Communicable Disease Controller (CDC), you need a strong background in public health, epidemiology, and disease surveillance, often supported by a degree in public health or a related field. Familiarity with data analysis tools, case management systems, and relevant certifications such as Certified in Public Health (CPH) are commonly required. Strong analytical skills, attention to detail, and effective communication are crucial soft skills for investigating disease outbreaks and coordinating with stakeholders. These skills are vital for quickly identifying, containing, and preventing the spread of communicable diseases to protect public health.

What collaborative opportunities are available for professionals working at the CDC?

At the CDC, professionals frequently collaborate with multidisciplinary teams that include epidemiologists, public health advisors, laboratory scientists, and policy experts. Cross-departmental projects are common, and staff often engage in interagency partnerships with local, state, and international public health organizations. These collaborations provide unique learning experiences, enhance problem-solving skills, and contribute to impactful public health outcomes. Additionally, opportunities for professional development and participation in high-profile research initiatives are regularly available.
What are the most commonly searched types of Cdc jobs in Delaware? The most popular types of Cdc jobs in Delaware are:
What are popular job titles related to Cdc jobs in Delaware? For Cdc jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Cdc jobs in Delaware look for? The top searched job categories for Cdc jobs in Delaware are:
Cdc jobs near you
Infographic showing various Cdc job openings in Delaware as of August 2026, with employment types broken down into 2% As Needed, 73% Full Time, 22% Part Time, 2% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Data Engineer Lead

Photon

Newark, DE • On-site

Other

Re-posted 9 hours ago

Job description

Job Title :Technical Lead - Operational Data Governance & Modernization
Location :Newark, DE

Owns end-to-end delivery of how operational data is modeled, governed, and moved across the organization from relational/canonical models and master data through schema-first contracts into the enterprise warehouse. Sets the standards for data quality, compliance (PII), and "contract as code" governance, but is measured on delivery outcomes runs the offshore team day-to-day and stays hands-on to unblock delivery risk.
Description for Internal Candidates

Key Responsibilities
Own delivery of relational and canonical data models and the organization's MDM (master data management) strategy.
Set standards for advanced SQL usage and appropriate use of NoSQL patterns where relational modeling doesn't fit.
Define schema-first data contract design using JSON Schema/Avro/Protobuf.
Drive rollout of the data catalog and enforce PII classification and data-regulation compliance across pipelines.
Own delivery of the Snowflake/enterprise data warehouse and data pipelines between ODS and warehouse.
Drive delivery of data change detection (CDC) and the data validation/quality testing framework.
Own "contract as code" governance: data schema management via CI/CD and Git-based data governance.
Select and stand up appropriate AWS data services for the platform.
Run day-to-day delivery of the offshore team: sprint commitments, code/design review, real-time unblocking, and hands-on work on critical-path pipelines.
Report delivery status, risks, and blockers to engineering leadership.

Must-Have Qualifications
8+ years in data engineering, with 3+ years as a tech lead owning end-to-end delivery (not a pure design/review architect role).
Proven track record of shipping data platforms on committed timelines, including hands-on troubleshooting under delivery pressure.
Deep expertise in relational and canonical data modeling and MDM design.
Expert-level SQL and solid understanding of when NoSQL patterns are appropriate.
Proven experience designing schema-first data contracts (JSON Schema/Avro/Protobuf).
Experience architecting data catalog tooling and PII classification/data regulation compliance (critical given financial-services context).
Strong hands-on architecture experience with Snowflake or an equivalent enterprise data warehouse.
Proven design of data pipelines between operational data stores and the warehouse.
Experience architecting change-data-capture and data validation/quality frameworks.
Demonstrated experience implementing "contract as code" schema management via CI/CD, Git-based governance.
Solid knowledge of relevant AWS data services (e.g., RDS, Redshift, Glue, DMS, Lake Formation).
Financial-services or similarly regulated-industry data governance experience is strongly preferred.
Strong stakeholder communication; able to directly manage day-to-day delivery of an offshore team (standups, unblocking, sprint accountability).

Nice-to-Have Qualifications
Experience with specific data catalog tools (e.g., Collibra, Alation, AWS Glue Data Catalog).
Exposure to multiple warehouse platforms beyond Snowflake.
Experience building data-quality frameworks with tools like Great Expectations or dbt tests.
Relevant certifications (Snowflake SnowPro, AWS Data Analytics Specialty).

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