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Remote Data Quality Jobs in California (NOW HIRING)

Data Architect, Next Platform

Redwood City, CA · On-site +1

$150K - $200K/yr

Data Quality & Traceability: Implement automated solutions to monitor data quality and lineage with ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

... and data quality, as well as securing data across the entirety of its lifecycle * Embed data ... Remote United States or Canada Fastly currently embraces a largely hybrid model for most roles ...

Senior Data Analyst (Remote)

Los Angeles, CA · On-site +1

$92K - $116K/yr

Strong analytical skills, attention to detail and data quality, incisive thinking, nuanced stakeholder engagement, team-oriented, and passion for growing a business * Your ability to think ...

Data Engineering Manager

Pasadena, CA · On-site +1

$172K - $206K/yr

... quality. As a remote-first company, we are able to hire team members residing in the following US ... Data Role Data Engineering Manager Locations Remote, United States Remote status Fully Remote ...

Showing results 21-40

Remote Data Quality information

What is the difference between Remote Data Quality vs Remote Data Analyst?

AspectRemote Data QualityRemote Data Analyst
Required CredentialsData quality certifications, SQL, data management skillsData analysis certifications, SQL, statistical skills
Work EnvironmentFocus on data accuracy, validation, and cleansingFocus on data interpretation, reporting, and insights
Employer & Industry UsageUsed in data governance, compliance, and database managementUsed in business intelligence, marketing, and operations

Remote Data Quality specialists primarily focus on ensuring data accuracy, consistency, and integrity within databases, often working on data validation and cleansing. Remote Data Analysts interpret data sets to generate reports and insights for decision-making. While both roles require strong SQL and data management skills, Data Quality roles emphasize data validation processes, whereas Data Analysts focus on analysis and visualization.

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

The most popular types of Data Quality jobs in California are:

What cities in California are hiring for Remote Data Quality jobs?

Cities in California with the most Remote Data Quality job openings:

Infographic showing various Remote Data Quality job openings in California as of August 2026, with employment types broken down into 74% Full Time, 17% Part Time, and 9% Contract. Highlights an 100% Remote job distribution.

Data Architect, Next Platform

Tempus

Redwood City, CA • On-site, Remote

$150K - $200K/yr

Full-time

Posted 19 days ago


Job description

Passionate about precision medicine and advancing the healthcare industry?

Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

We are seeking a Data Architect to design the structural backbone of a high-scale, multi-modal healthcare data ecosystem. You will be responsible for architecting data environments that serve massive networks of hospitals, ensuring that diverse data types-ranging from structured EHR records to unstructured genomic and imaging data-are seamlessly accessible to autonomous AI agents.

Our goal is to move beyond static data warehousing to create a dynamic, "agent-ready" data fabric that supports real-time clinical evaluation at an enterprise scale.

What You'll Do
  • Multi-Modal Architecture: Lead the design and management of an enterprise data model that integrates complex domains including clinical EHR records, high-throughput genomics (NGS), and cardiovascular imaging (Echo, Cath, ECG).

  • Scale for Hospital Networks: Architect data solutions designed to scale across federated networks of hospitals, ensuring multi-tenancy, high availability, and performance across hybrid cloud environments.

  • Enable Agentic Workflows: Design data access patterns and metadata layers specifically optimized for AI agents, allowing them to autonomously discover, query, and reason over structured and unstructured datasets.

  • Schema & API Ownership: Author and maintain entity-relationship diagrams (ERDs), data dictionaries, and API specifications across multiple technologies (Relational, NoSQL, Vector Databases).

  • Data Quality & Traceability: Implement automated solutions to monitor data quality and lineage with strict traceability back to source systems, ensuring "ground truth" for agentic evaluations.

  • Technical Advocacy: Educate engineering and clinical teams on data modeling standards, governance, and best practices for maintaining data integrity in a HIPAA-regulated environment.

Experience & Qualifications
  • Education: Bachelor's Degree in Computer Science, Health Informatics, or a related field.

  • Professional Experience: 7+ years in data architecture or enterprise modeling, with significant experience in the healthcare or life sciences domain.

  • Modeling Mastery: Expert-level knowledge of 3NF, Dimensional (Star Schema), and Data Vault 2.0 modeling techniques.

  • Advanced SQL & Python: Exceptional SQL skills for complex analytical environments and proficiency in Python for data profiling and debugging.

  • Technology Strategy: Ability to articulate the trade-offs between RDBMS, MPP, and NoSQL technologies, and experience implementing Master Data Management (MDM) solutions.

  • Interoperability Standards: Deep familiarity with HL7, FHIR, and Epic/Cerner data structures.

  • Tools: Proficiency with modeling tools such as Erwin, Vertabelo, or Lucidchart.

Bonus Points
  • AI Data Engineering: Experience with Vector databases (e.g., Pinecone, Weaviate, or pgvector) or Graph databases to support RAG and agentic memory.

  • Cloud Architecture: Hands-on experience with GCP (BigQuery, Vertex AI) or AWS healthcare-native services.

  • Specialized Clinical Data: Direct experience working with EHR, OMOP, DICOM, genomic data models, or longitudinal patient records.

#LI-BL1
Chi: $140,000-$190,000

NYC/SF: $150,000-$200,000

The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.

Additionally,for remote roles open to individuals in unincorporated Los Angeles - including remote roles-Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.