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Cdc Remote Jobs in California (NOW HIRING)

Axiad

AI-First SRE/DevOps Engineer

San Jose, CA · On-site +1

$66.75 - $88.75/hr

US (Remote or HQ Hybrid) Job Type: Full-time Axiad is seeking a skilled AI-First SRE/DevOps ... Data-pipeline and streaming/CDC experience. * Security or identity background; familiarity with ...

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Cdc Remote information

See California salary details

$23.9K

$108.3K

$143.7K

How much do cdc remote jobs pay per year?

As of Sep 5, 2026, the average yearly pay for cdc remote in California is $108,290.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,300.00 and $114,600.00 per year, depending on experience, location, and employer.

What is a cdc remote?

A CDC Remote job refers to a position with the Centers for Disease Control and Prevention (CDC) that allows employees to work remotely, either full-time or part-time. These roles can include positions in public health, data analysis, epidemiology, communications, and administrative support. Remote CDC jobs often require strong technical skills, research abilities, and familiarity with public health policies. Employees collaborate with teams across the country using digital tools and communication platforms. Specific job requirements and availability may vary based on the CDC’s needs and policies.

What are the key skills and qualifications needed to thrive in the cdc remote position?

To thrive in a CDC Remote role, you typically need a background in public health, epidemiology, or data analysis, along with relevant academic qualifications or experience. Familiarity with data management software, public health reporting platforms, and secure communication tools is often required. Strong communication, self-motivation, and organizational skills are essential for effective collaboration and remote work success. These skills and qualifications ensure you can manage sensitive CDC projects, conduct accurate research, and work efficiently with geographically distributed teams.

What are some unique challenges faced by professionals working in cdc remote positions?

Professionals in CDC Remote roles may encounter challenges such as efficiently collaborating with colleagues across different time zones, ensuring secure handling of confidential health data, and adapting to evolving digital tools. Daily responsibilities often require independent problem-solving while remaining closely coordinated with both internal CDC teams and external partners. Maintaining high standards for data integrity and timely communication is crucial when working remotely. However, many find the flexibility and the opportunity to contribute to significant public health initiatives rewarding and professionally fulfilling.

What are the most commonly searched types of Cdc jobs in California?

The most popular types of Cdc jobs in California are:

What are popular job titles related to Cdc Remote jobs in California?

For Cdc Remote jobs in California, the most frequently searched job titles are:

What job categories do people searching Cdc Remote jobs in California look for?

The top searched job categories for Cdc Remote jobs in California are:

What cities in California are hiring for Cdc Remote jobs?

Cities in California with the most Cdc Remote job openings:

Cdc Remote jobs near you
Infographic showing various Cdc Remote job openings in California as of August 2026, with employment types broken down into 6% Locum Tenens, 79% Full Time, and 15% Part Time. Highlights an 100% Remote job distribution, with an average salary of $108,290 per year, or $52.1 per hour.

Senior Database Reliability Engineer

Scribe

San Francisco, CA • On-site, Remote

$145K - $230K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 28 days ago

Key responsibilities

  • Own the reliability, performance, and scalability of Scribe's data tier, including managing incident response and schema design reviews.

  • Operate and improve the CDC pipeline from Aurora through DMS to S3 Parquet to Snowflake, ensuring replication safety and schema evolution.

  • Build and enhance observability tools and dashboards to monitor database performance and query footprint across the engineering organization.

Job description

About Scribe
Scribe is where exceptional people come to do the best work of their careers. More than 94% of the Fortune 500 use Scribe to own their specialized intelligence: the unique way their teams work, decide, and get things done. Our Specialized Intelligence platform automatically captures how work happens and turns it into a living asset that helps people and AI agents do their best work.
We're growing fast, since our founding in 2019, we've grown to 7 million users across 600,000 businesses. Based in San Francisco, we've been named a LinkedIn Top Startup, are valued at over $1 billion, and are backed by leading investors. Join us in our mission to transform how people do work.
About the Role
We're hiring a Senior Database Reliability Engineer to own the reliability, performance, and scalability of Scribe's data tier. Our engineering org is doubling - which means the guardrails, automation, and standards you put in place today will carry a much larger team through the next phase of growth. This is a senior IC role with real ownership: you'll set the bar for how engineers across the company interact with our databases, not just keep the lights on.
Our stack is Django on PostgreSQL (Aurora Serverless V2), OpenSearch, Redis (ElastiCache), SQS, and RabbitMQ, with a CDC pipeline running Aurora to DMS to S3 Parquet to Snowflake. Engineers ship through the ORM, not raw SQL - which makes migration safety, index design, and query review genuinely high-stakes work.
What You'll Do
  • Own database reliability across Aurora, OpenSearch, Redis, and our CDC pipeline - including schema design reviews, migration safety (locks, backfills, concurrent index builds, NOT VALID constraints), and incident response for the data tier
  • Make the Django ORM a strength at scale: catch N+1 patterns in review, extend QuerySet conventions and physical schema standards, and build the CI checks and AGENTS.md scaffolding that encode those standards so they scale beyond any single reviewer
  • Operate and evolve the CDC pipeline from Aurora through DMS to S3 Parquet to Snowflake - including replication slot hygiene, schema evolution safety, and automated checks that catch migrations likely to break downstream consumers before they ship
  • Build and improve observability across pganalyze, CloudWatch, and Honeycomb, with Django-side instrumentation that ties slow ORM queries back to specific users, flags, and deploys
  • Drive multi-AZ resilience within our single-region architecture - Aurora writer/reader placement, failover behavior, RTO/RPO, ElastiCache and OpenSearch AZ topology, RabbitMQ survivability
  • Build self-service tooling and dashboards that give product and platform teams visibility into their own query footprint, reducing the review burden as the engineering org grows
  • Contribute to onboarding and knowledge-sharing as a large incoming class of engineers joins - write docs, run internal sessions on "what your ORM query is really doing," and feed that knowledge back into AI review tooling

What We're Looking For
  • Deep PostgreSQL expertise in practice: read EXPLAIN (ANALYZE, BUFFERS) fluently, understand MVCC, bloat, lock contention, and vacuum behavior, and tune Aurora Serverless V2 for latency and throughput
  • Work with an ORM (Django, SQLAlchemy, ActiveRecord, or similar) at production scale - predict the SQL a query generates, spot N+1 issues on sight, and know when joins beat batched IN queries and when they don't
  • Run CDC pipelines in production, ideally with AWS DMS - comfort with logical replication, slot hygiene, schema evolution, and Parquet-based data lakes feeding Snowflake, BigQuery, or Redshift
  • Hands-on experience with pganalyze (or Datadog DBM / pg_stat_statements pipelines), CloudWatch, and Honeycomb (or another high-cardinality tracing tool); comfortable with OpenTelemetry
  • Work with OpenSearch, Redis, and at least one production message broker (SQS, RabbitMQ, or Kafka) at scale
  • Write real automation - Python, Go, or similar - and use Terraform or comparable IaC to manage infrastructure
  • Use AI coding and review tools in a team setting: write and maintained AGENTS.md files, configure review agents, iterate on prompts

Nice to Have
  • Event sourcing on Postgres, or experience with alternate CDC tooling (Debezium, Fivetran, Airbyte)
  • pgbouncer or RDS Proxy at scale with Django connection handling
  • Deep Honeycomb usage: SLOs, BubbleUp, Triggers, derived columns
  • Snowflake from the producer side: staging, Snowpipe, external tables on Parquet
  • Experience scaling data infrastructure through rapid engineering headcount growth
  • SOC 2 Type II, GDPR, or similar compliance work

Location
San Francisco (hybrid, 3 days per week in-office) or, Remote based permanently in PST (Pacific Standard Time).
Compensation
Salary varies by location. All full-time employees receive equity in Scribe. Final offers depend on experience and scope.
Benefits
  • Health, dental, and vision insurance for you and your dependents
  • Flexible paid time off and company holidays
  • 401(k)
  • Paid parental leave
  • Daily catered lunch (SF office)
  • Commuter benefits
  • Home office stipend

At Scribe, we celebrate our differences and are committed to creating a workplace where all employees feel supported and empowered to do their best work. Scribe is proud to be an Equal Opportunity Employer.

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