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Remote Data Soft Logic Jobs in California (NOW HIRING)

DataVisor

Senior Risk Consultant - US East

Mountain View, CA · On-site +1

  • Medical

  • Retirement

  • PTO

... logic, decision flows, pain points, fraud patterns, data availability, data quality, and desired ... Soft Skills * Excellent communication, presentation, and interpersonal skills * Strong analytical ...

Arcadis

Data Center Scheduler

San Jose, CA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The position is remote and requires only occasional travel for client visits. In this role, you ... Building detailed engineering, construction, and validation logic-driven/resource-loaded schedules ...

Lark Health

Clinical Operations Lead

Mountain View, CA · Remote

$143K/yr

... data to design the clinical logic that drives patient triage, AI-assisted decision support ... Experience in digital health, virtual care, remote patient monitoring, or chronic disease ...

Bluelight Consulting

$143K - $189K/yr

... logic. * Frontend: Modern JavaScript/TypeScript development utilizing React for scalable single ... Data Access: Heavy experience with relational databases (PostgreSQL), data storage systems, and ...

Bluelight Consulting

... logic. * Frontend: Modern JavaScript/TypeScript development utilizing React for scalable single ... Data Access: Heavy experience with relational databases (PostgreSQL), data storage systems, and ...

Experian

Senior Director, Demand Generation (Remote)

Costa Mesa, CA · On-site +1

$176K - $316K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Company Description Experian is a global data and technology company, powering opportunities for ... Promote optimization of decision systems, including routing and bidding logic * Translate funnel ...

Terabase Energy

SCADA Engineer

Berkeley, CA · On-site +1

$90K - $115K/yr

  • Retirement

... commission Remote Terminal Units (RTU's), Programmable Logic Controllers (PLC's), & Human Machine Interfaces (HMI's) for * Active Power Curtailment * Reactive Power Control * MET tower data ...

Terabase Energy

SCADA Engineer

Berkeley, CA · On-site +1

$90K - $115K/yr

  • Retirement

... commission Remote Terminal Units (RTU's), Programmable Logic Controllers (PLC's), & Human Machine Interfaces (HMI's) for * Active Power Curtailment * Reactive Power Control * MET tower data ...

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All JobsData Soft Logic JobsRemote Data Soft Logic JobsRemote Data Soft Logic Jobs in California

Remote Data Soft Logic information

Are there actually remote data soft logic jobs?

Remote Data Soft Logic jobs are available in the industry, often involving roles such as data analysts or software developers working remotely. These positions typically require skills in data management, programming, and familiarity with remote collaboration tools. Many companies now offer remote opportunities for such roles, especially in the tech and data sectors.

What is the difference between Remote Data Soft Logic vs Data Analyst?

AspectRemote Data Soft LogicData Analyst
Required CredentialsTypically requires a background in computer science, data management, or related certificationsRequires a degree in statistics, mathematics, or related fields; often certifications like Microsoft Excel or Tableau
Work EnvironmentPrimarily remote, involving data management, software tools, and programmingUsually office-based or remote, focusing on data interpretation and reporting
Employer & Industry UsageUsed in tech, finance, and data-driven companies for software and data system managementCommon in finance, marketing, healthcare, and consulting for data analysis and decision support

Remote Data Soft Logic focuses on managing and implementing data software systems remotely, often requiring technical skills and programming. Data Analysts interpret data to generate insights, typically working with statistical tools. While both roles involve data, Remote Data Soft Logic emphasizes software and system setup, whereas Data Analysts focus on data interpretation and reporting.

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

The most popular types of Data Soft Logic jobs in California are:

What are popular job titles related to Remote Data Soft Logic jobs in California?

For Remote Data Soft Logic jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Data Soft Logic jobs in California look for?

The top searched job categories for Remote Data Soft Logic jobs in California are:

What cities in California are hiring for Remote Data Soft Logic jobs?

Cities in California with the most Remote Data Soft Logic job openings:

Remote Data Soft Logic jobs near you

Staff Software Engineer, Big Data, tvScientific

Pinterest

San Francisco, CA • On-site, Remote

Full-time

Re-posted 29 days ago

Job description

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

We are seeking a Staff Data Engineer to lead the design, implementation, and evolution of our identity services and data governance platform. This role is critical to ensuring trusted, privacy-safe, and well-governed data across the organization. You will work at the intersection of data engineering, identity resolution, privacy, and platform reliability. This is an individual contributor role, where you will work to define and implement a strategic vision for data engineering within the organization. 

What you'll do:

  • Design and maintain a scalable identity resolution platform
  • Build pipelines and services to ingest, normalize, link, and version identity data across multiple sources
  • Ensure deterministic and probabilistic matching logic that is transparent, auditable, and measurable
  • Partner with product and analytics teams to expose identity data through reliable, well-documented APIs and datasets
  • Build and operate batch and streaming pipelines using modern data stack tools
  • Create clear documentation, standards, and runbooks for identity and governance systems
  • Own data governance foundations including data lineage, quality checks, schema enforcement, and access controls
  • Implement privacy-by-design principles (PII handling, consent enforcement, retention policies)
  • Collaborate with legal, privacy, and security teams to operationalize regulatory requirements (e.g., GDPR, CCPA)
  • Establish monitoring and alerting for data quality, freshness, and integrity

What we're looking for:

  • Production data engineering experience
  • Bachelor's degree in computer science, related field or equivalent experience
  • Proficiency in Spark and Scala, with proven experience building data infrastructure in Spark using Scala
  • Experience in delivering significant technical initiatives and building reliable, large scale services
  • Experience in delivering APIs backed by relationship-heavy datasets
  • Experience implementing data governance practices, including data quality, metadata management, and access controls
  • Strong understanding of privacy-by-design principles and handling of sensitive or regulated data
  • Familiarity with data lakes, cloud warehouses, and storage formats
  • Strong proficiency in AWS services
  • Excellent written and verbal communication skills
  • Successful design and implementation of scalable and efficient data infrastructure
  • High attention to detail in implementation of automated data quality checks
  • Effective collaboration with cross-functional teams
  • Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
  • Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
  • High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables 

In-Office Requirement Statement:

  • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.


Relocation Statement:

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

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