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Remote Data Pipeline Engineer Jobs in California

Valdera

Chemical Data Scientist

San Francisco, CA · On-site +1

This requires strong data engineering fundamentals and a working knowledge of chemical industry ... Design and build pipelines to collect supplier data and chemical product information ...

Corvel

Data Science Manager

Irvine, CA · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Partner with engineering teams to build and support data pipelines using technologies such as Azure ... Remote

DocuSign

Sr. Data Platform Engineer

San Francisco, CA · On-site +1

$134K - $161K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Employee divides their time between in-office and remote work. Access to an office location is ... Experience designing, building, and operating orchestration infrastructure for data pipelines (e.g ...

Corvus Robotics

Sr. ML Ops Engineer

Mountain View, CA · On-site +1

$123K - $169K/yr

Build and maintain the data pipeline infrastructure that consolidates internal infra, labeling ... hybrid or remote role with periodic trips to HQ in Mountain View, CA. Must Haves * 2-3 years ...

Runpod Inc

Senior Data Engineer

San Francisco, CA · On-site +1

$124K - $169K/yr

  • PTO

Learn more in our CEO's funding announcement: We're a small, remote-first team. We take ownership ... We use tools like Dagster and dbt to orchestrate data pipelines and define workflows between ...

World Market

Lead Data Engineer

Alameda, CA · Remote

$175K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design and implement scalable data pipelines and data infrastructure that support various business ... This is a fully remote position, with responsibilities that require strong communication skills and ...

Worldmarket

Lead Data Engineer

Alameda, CA · Remote

$155K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design and implement scalable data pipelines and data infrastructure that support various business ... This is a fully remote position, with responsibilities that require strong communication skills and ...

NTENT

Senior Data Engineer

Carlsbad, CA · On-site +1

$109K - $148K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Carlsbad office (Initially Remote) About Us: NTENT provides a Platform-as-a-Service (PaaS ... Design, implement, and support ETL data pipelines in a big data environment * Maintain and improve ...

Figma

Data Engineer

San Francisco, CA · On-site +1

$134K - $162K/yr

We are looking for an experienced Data Engineer to partner with our Data Science and Data Infrastructure teams to own and scale our data pipelines. You'll also work closely with stakeholders across ...

Prodege LLC

Principal Data Engineer

El Segundo, CA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

This is a high-impact role for someone who wants to own more than pipelines. You will help build ... The evolution of Data Engineering toward a more AI-first way of working What Makes This Role ...

Block

Senior Data Engineer, Risk

Bodega Bay, CA · On-site +1

$125K - $170K/yr

Today, Cash App has thousands of employees working globally across office and remote locations ... pipeline tooling and dashboarding. You will enable other compliance and risk teams to make ...

Robert Half

Data Engineer III

San Ramon, CA · On-site +1

$128K - $153K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Lead architecture and design of complex data pipelines on Databricks lakehouse architecture (Unity Catalog, Delta Lake, Structured Streaming) * Define technical approach for data engineering ...

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All JobsData Pipeline Engineer JobsRemote Data Pipeline Engineer JobsRemote Data Pipeline Engineer Jobs in California

Remote Data Pipeline Engineer information

What is the difference between Remote Data Pipeline Engineer vs Data Engineer?

AspectRemote Data Pipeline EngineerData Engineer
Required CredentialsBachelor's in CS, Data Science, or related; experience with cloud platformsBachelor's or higher in CS, Software Engineering; certifications like AWS or GCP often preferred
Work EnvironmentRemote, collaborative teams, cloud-based toolsRemote or on-site, enterprise or startup settings, cloud and on-premise infrastructure
Industry UsageTech, finance, healthcare, e-commerceSame as Remote Data Pipeline Engineer, broader focus on data infrastructure

Both roles focus on managing data workflows, but Remote Data Pipeline Engineers specialize in building and maintaining data pipelines specifically in cloud environments, often with a focus on ETL processes. Data Engineers have a broader scope, including designing data architectures and working with large-scale data systems. The roles overlap significantly, especially in skills and industry usage, but the Pipeline Engineer role emphasizes pipeline development and deployment in remote, cloud-based settings.

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

The most popular types of Data Pipeline Engineer jobs in California are:

What are popular job titles related to Remote Data Pipeline Engineer jobs in California?

For Remote Data Pipeline Engineer jobs in California, the most frequently searched job titles are:

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The top searched job categories for Remote Data Pipeline Engineer jobs in California are:

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Cities in California with the most Remote Data Pipeline Engineer job openings:

Remote Data Pipeline Engineer jobs near you

Chemical Data Scientist

Valdera

San Francisco, CA • On-site, Remote

Full-time

Re-posted 3 days ago

Job description

About Valdera:
At Valdera, we empower innovators to turn ideas into reality by transforming how manufacturers source materials. We make it effortless for companies to find the best materials and suppliers for their needs, enabling them to build high-quality products at scale and deliver them to millions of consumers worldwide.
We are a team of ambitious, results-driven individuals with a proven track record of working with Fortune 500 industrial manufacturers, beauty brands, and chemical companies. We are a fast-growing company that hires talented, hardworking people who excel in high-performance environments and want to grow their careers quickly.
Our culture is built for exceptional individuals to take on meaningful challenges, collaborate with the top minds in our industry, and see the direct impact of their work. If you're looking for a fast-paced environment where your ideas will drive real change, Valdera is the place for you.
Join us, and let's shape the future of manufacturing together.
Role Description:
We are hiring a Chemical Data Scientist to build and maintain the pipelines that keep Valdera's supplier and chemical product data accurate, current, and structured - the foundation every buyer and supplier relies on across Valdera's procurement platform.
Data quality plays a critical role at Valdera. When a buyer launches a request, they expect to be matched with the right suppliers and accurate specs on the first try. Delivering that depends on clean, current data - CAS numbers, specifications, certifications, and regulatory documents pulled from thousands of inconsistent, often messy sources. This requires strong data engineering fundamentals and a working knowledge of chemical industry data. For example, you might take dozens of differently structured chemical supplier catalogs and turn them into one clean, standardized product database.
You will take ownership of the full data pipeline - from scrapers and ETL workflows to data cleaning, matching, and classification models that connect suppliers to buyer requirements. You're energized by messy, real-world data and confident partnering with Supplier Management and Engineering to close coverage gaps. As a data-obsessed professional, you're dedicated to the accuracy our buyers and suppliers depend on.
Role Responsibilities:
  • Design and build pipelines to collect supplier data and chemical product information (specifications, CAS numbers, certifications, SDS/regulatory documents, NAICS classification of manufacturing plants) from supplier sites, distributor catalogs, trade databases, and other public and semi-structured sources
  • Develop and maintain web scrapers and automated ETL workflows to keep supplier and product data current at scale
  • Clean, normalize, and reconcile inconsistent supplier data into structured, standardized formats suitable for internal tools and analytics
  • Apply chemical domain knowledge to validate and enrich data - resolving product names, CAS numbers, synonyms, and specifications across suppliers
  • Evaluate and improve matching and classification models to map suppliers and products to buyer requirements, and to identify overlapping or equivalent chemical offerings
  • Partner with Supplier Management and Engineering to define data quality standards, identify gaps in supplier coverage, and prioritize new data sources.
  • Own pipeline health and data quality, and drive the KPIs that measure overall data coverage

Experience & Qualifications:
  • 5+ years of experience in a data science, data engineering, or applied data role, ideally with exposure to messy, real-world or industrial datasets.
  • Working knowledge of chemistry or chemical industry data - comfort with CAS numbers, chemical properties, SDS documents, NAICS classification, and supplier certifications
  • Strong Python skills, with experience building web scrapers and data pipelines
  • Experience with data cleaning and normalization at scale, and a good eye for spotting inconsistencies in unstructured data
  • Familiarity with building or applying matching, deduplication, or classification models (traditional ML or LLM-based approaches)
  • Hands-on experience using AI tools and LLMs to accelerate data extraction, enrichment, or engineering workflows
  • Startup mindset with a strong sense of ownership - comfortable working independently in a fast-moving, remote environment with ambiguous, evolving priorities

Salary Range:
Salary ranges are determined by multiple factors, including the labor market, market compensation bands, internal parity, and budget considerations. The final offer will be based on the candidate's individual skills, qualifications, location, and experience relative to the requirements of the role.
Benefits:
Valdera offers generous benefits to employees. You will be provided a more detailed breakdown of your options prior to joining Valdera.
Equal Opportunity Employer Statement:
Valdera is an equal-opportunity employer committed to building a diverse and inclusive team. We welcome applicants of all backgrounds and celebrate a culture that values varied perspectives, skills, and experiences. We are dedicated to maintaining a workplace free from discrimination, where everyone feels valued, respected, and empowered to contribute.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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