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Cdc Data Jobs in California (NOW HIRING)

NextDeavor Inc.

Principal Data Architect

Irvine, CA · Remote

$126K - $214K/yr

Principal Data Architect Full-time Remote Exclusive confidential search -- details shared with ... CDC, batch, streaming, and API-based sourcing. * Partner with governance, security, and compliance ...

San Diego Blood Bank

Donor Technician 1 - CDC

Vista, CA · On-site

$21.25/hr

Donor Technician 1 - CDC Department: Nursing & Community Wellness Starting Pay: $21.25 per hour ... Perform body motions such as; keyboard data input, bending, kneeling, crouching, stooping, twisting ...

Black Cultural Zone CDC

Manager, Programs

Oakland, CA · Hybrid

$75K - $82K/yr

Join the Black Cultural Zone CDC as a Manager, Programs! The Black Cultural Zone CDC is seeking a ... data framework; contribute to grant reporting and fund development efforts with program data ...

B Capital

AWS Principal Data Engineer

Santa Clarita, CA · On-site

$106.80 - $202.90/hr

Design reusable AWS data platform architectures and lead the implementation and migration of complex data pipelines supporting governed ingestion, batch, streaming, change data capture (CDC ...

Butterfly Network

Staff Data Engineer

San Francisco, CA · On-site

Staff Data Engineer Company Description Butterfly Network, Inc. (NYSE: BFLY) is driving a digital ... Demonstrated experience with both streaming and batch ingestion patterns, including CDC pipelines ...

Paramount

Data Engineer Data Pipelines and ETL

Burbank, CA · On-site

$121K - $146K/yr

Implement advanced ingestion patterns including CDC, incremental loads, and event-driven processing. Data Modeling & Data Warehouse Architecture Design scalable, dimensional, and hybrid data models ...

Maverick Payments

Data Warehouse Engineer

Calabasas, CA · On-site +1

$110K - $125K/yr

Implement incremental loads, CDC (Change Data Capture), idempotent retries, and robust error handling. * Onboard new sponsor banks and data sources against the Director's roadmap; standardize ...

Paramount

Data Engineer Data Pipelines and ETL

Burbank, CA · On-site

$121K - $146K/yr

Implement advanced ingestion patterns including CDC, incremental loads, and event-driven processing. Data Modeling & Data Warehouse Architecture * Design scalable, dimensional, and hybrid data models ...

Paramount

Data Engineer Data Pipelines and ETL

Burbank, CA · On-site

$121K - $146K/yr

Implement advanced ingestion patterns including CDC, incremental loads, and event-driven processing. Data Modeling & Data Warehouse Architecture * Design scalable, dimensional, and hybrid data models ...

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All JobsCdc Data JobsCdc Data Jobs in California

Cdc Data information

What are some common challenges faced by professionals working with CDC data, and how can they be addressed?

Professionals working with CDC data often encounter challenges such as managing large and complex datasets, ensuring data privacy, and interpreting evolving public health trends. Addressing these challenges involves staying updated on data management best practices, using secure data handling protocols, and collaborating closely with epidemiologists and analysts to accurately interpret findings. Regular training on CDC data systems and effective communication within multidisciplinary teams can also help overcome these obstacles and ensure high-quality public health insights.

What qualifications do you need to work for the CDC?

To work for the CDC, candidates typically need at least a bachelor's degree in public health, epidemiology, biology, or a related field; advanced degrees may be required for certain roles. Relevant experience, strong analytical skills, and proficiency with data analysis tools are also important. Some positions may require security clearances or specialized certifications depending on the job responsibilities.

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

To thrive as a CDC Data Analyst, you need strong analytical skills, a background in public health or statistics, and experience with data interpretation, typically supported by a relevant degree. Proficiency in statistical software (such as SAS, R, or SPSS), data visualization tools, and data management systems is essential. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for translating data findings to diverse stakeholders. These skills ensure accurate public health reporting and support data-driven decision-making to improve health outcomes.

What is the difference between Cdc Data vs Data Analyst?

AspectCdc DataData Analyst
Required CredentialsTypically requires public health, epidemiology, or data management certificationsRequires degrees in statistics, data science, or related fields; certifications like CAP or Microsoft Power BI are common
Work EnvironmentGovernment health agencies, public health departments, research institutionsCorporate, healthcare, finance, or consulting firms
Employer & Industry UsageUsed mainly in public health and government sectors for disease tracking and health data managementUsed across various industries for data interpretation, reporting, and decision-making

While both roles involve data handling, Cdc Data focuses on public health data management within government agencies, whereas Data Analysts work across industries analyzing diverse datasets to support business decisions.

What are CDC data?

CDC data refers to the wide range of public health information collected, analyzed, and published by the Centers for Disease Control and Prevention (CDC). This data includes statistics on disease incidence, surveillance reports, health behaviors, and trends related to public health issues in the United States. Researchers, policymakers, and public health professionals use CDC data to inform decisions, track outbreaks, and improve health outcomes. The data is made available through various CDC platforms, such as CDC WONDER, Data.CDC.gov, and specific disease databases.

What jobs does the CDC offer?

The CDC offers a variety of jobs including epidemiologists, public health advisors, data analysts, health scientists, and program specialists. These roles often require relevant degrees, experience in public health or data management, and may involve working in research, policy development, or health communication environments.
What are popular job titles related to Cdc Data jobs in California? For Cdc Data jobs in California, the most frequently searched job titles are:
What job categories do people searching Cdc Data jobs in California look for? The top searched job categories for Cdc Data jobs in California are:
What cities in California are hiring for Cdc Data jobs? Cities in California with the most Cdc Data job openings:
Cdc Data jobs near you
Infographic showing various Cdc Data job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Senior Cloud Data Engineer

InvestM Technology LLC

San Francisco, CA • On-site

$70.75 - $92/hr

Other

Posted 4 days ago

Job description

Senior Cloud Data Engineer

Contract Role

SFO, CA or Remote

Key Skills: 

Snowflake 
Azure
IM

Primary responsibilities include: 

  • Design and implement scalable cloud data warehouse architectures, defining layer structures, schema design patterns, and partitioning/clustering strategies.
  • Architect physical and logical data models that balance query performance, storage efficiency, and business domain clarity, applying dimensional modeling and data techniques where appropriate.
  • Adopt cloud data frameworks to build modular, reusable SQL models across staging, intermediate, and mart layers with full documentation and lineage. 
  • Build and maintain data pipelines that ingest data from diverse sources, snowflake shares, databases, APIs, event streams, and flat files into the cloud data warehouse reliably and at scale.
  • Implement batch and near-real-time ingestion patterns using cloud-native tools, managing incremental loads, CDC (change data capture), and idempotent pipeline design.
  • Optimize query performance through materialization strategies, clustering keys, and warehouse-specific query tuning techniques.
  • Implement and maintain role-based access control (RBAC), column-level security, dynamic data masking, and row-level access policies to enforce least-privilege and data privacy requirements.
  • Establish and maintain CI/CD pipelines for warehouse deployments automating testing, and promotion of transformation code across dev, UAT, and production environments.
  • Operate within an Agile environment using JIRA to manage work items, participate in sprint planning, and deliver high‑quality solutions on a consistent cadence.
  • Apply AI-assisted development tools pragmatically across the engineering lifecycle, accelerating warehouse transformation authoring, data quality automation, and documentation workflows.

  

Qualifications:

  • 10+ years of data engineering experience, with a proven track record of hands‑on development and end‑to‑end solution delivery.
  • Proven ability to design scalable cloud data warehouse architectures, defining layered structures, schema design patterns and physical data models that balance query performance, storage efficiency, and business domain clarity.
  • Deep expertise in Snowflake, including data modeling, performance tuning, and cost‑efficient design, along with experience managing vendor data shares for secure and governed access.
  • Advanced SQL skills with a strong foundation in data warehousing concepts, including dimensional modeling, incremental processing, slowly changing dimensions, and semantic layers.
  • Hands-on experience designing and operating cloud data solutions on Azure including ADF, ADLS Storage, with a strong grasp of cloud-native ingestion patterns and pipeline orchestration.
  • Proficiency in modern data transformation frameworks (dbt) including modular model design across layered warehouse architecture.
  • Familiarity with streaming and near-real-time ingestion patterns (e.g., Azure Event Hubs, Kafka) including incremental load design, CDC, and latency-aware pipeline considerations.
  • Strong understanding of platform reliability engineering for data warehouse covering orchestration, backfill and reprocessing strategies, and warehouse performance optimization.
  • Experience designing and maintaining data quality frameworks with operational alerting and runbooks to support SLA-driven reliability.
  • Experience implementing CI/CD pipelines for dbt and Snowflake workloads, including Git-based workflows, automated testing, and environment promotions.
  • Strong written and verbal communication skills with the ability to produce clear data model documentation, pipeline runbooks, and data dictionaries.
  • Bachelor's degree in computer science, information systems, or a related field.
  • Experience in asset management, financial services, or investment-related, preferred.

Apply