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Remote Chemical Food Engineer Jobs in California

This requires strong data engineering fundamentals and a working knowledge of chemical industry ... moving, remote environment with ambiguous, evolving priorities Salary Range: Salary ranges are ...

Lead Control System Engineer

Ripon, CA · Remote

$98K - $120K/hr

... food and beverage processing and packaging, and factory automation. ICS is part of Cleanwater1 and ... Design, configure, and support remote access and telemetry solutions using Ethernet, industrial ...

Extensive knowledge of process safety management methods, pressure systems, and chemical delivery ... This isnota remote or hybrid position and will require relocation if not already local to the ...

You'll work collaboratively with a multidisciplinary team of mechanical, nuclear, chemical, and controls engineers to integrate critical systems such as shielding, containment, and remote operations ...

You'll work collaboratively with a multidisciplinary team of mechanical, nuclear, chemical, and controls engineers to integrate critical systems such as shielding, containment, and remote operations ...

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Remote Chemical Food Engineer information

What is a remote chemical food engineer?

A Remote Chemical Food Engineer is a professional who applies chemical engineering principles to the development, processing, and safety of food products, while working from a remote or offsite location. They work on projects such as improving food preservation, developing new food ingredients, or ensuring food safety standards, often collaborating with teams online. Their responsibilities may include data analysis, process design, research, and troubleshooting, all done using digital communication and remote lab technologies.

What are the key skills and qualifications needed to thrive as a remote chemical food engineer?

To thrive as a Remote Chemical Food Engineer, you need a strong background in chemical engineering, food science, and process optimization, typically supported by a relevant degree. Familiarity with software such as process simulation tools (e.g., Aspen Plus), data analysis platforms, and industry regulations like HACCP is crucial. Excellent problem-solving, communication, and self-motivation are key soft skills for collaborating across remote teams and ensuring food safety standards. These skills ensure the effective design, analysis, and improvement of food production processes while maintaining compliance and product quality in a remote work environment.

What are some common challenges faced by remote chemical food engineers, and how can they be addressed?

Remote Chemical Food Engineers often face challenges related to effective communication and collaboration with on-site teams, especially when troubleshooting process issues or implementing new formulations. To address this, it's important to utilize collaborative tools for real-time data sharing and maintain regular virtual meetings to align with production staff. Additionally, remote engineers must stay proactive in keeping up with safety protocols and regulatory updates, often requiring self-motivation and strong organizational skills to manage projects independently. Building strong relationships with team members and leveraging digital platforms can help ensure successful project outcomes.

What are the most commonly searched types of Chemical Food Engineer jobs in California?

The most popular types of Chemical Food Engineer jobs in California are:

What are popular job titles related to Remote Chemical Food Engineer jobs in California?

For Remote Chemical Food Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Chemical Food Engineer jobs in California look for?

The top searched job categories for Remote Chemical Food Engineer jobs in California are:

What cities in California are hiring for Remote Chemical Food Engineer jobs?

Cities in California with the most Remote Chemical Food Engineer job openings:

Chemical Data Scientist

Valdera

San Francisco, CA • On-site, Remote

Full-time

Re-posted 20 days ago


Key responsibilities

  • Design and build pipelines to collect supplier data and chemical product information from various sources.

  • Develop and maintain web scrapers and automated ETL workflows to keep data current at scale.

  • Clean, normalize, and reconcile inconsistent supplier data into structured, standardized formats.


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.