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Provenance Jobs (NOW HIRING)

Periodic Labs

Software Engineer

Menlo Park, CA · On-site

You'll scale the scheduling, workflow, and data provenance systems that coordinate furnaces, dispensers, diffractometers, and more - turning scientific intent into fully attributable, reproducible ...

Prescient Edge

Senior Data Scientist

Doral, FL · On-site

Conduct data provenance tracking, ensuring documentation of sources, transformations, and lineage for compliance with governance policies. * Submit the Data Provenance & Lineage Report, summarizing ...

Kepler

Head of AI Research

New York, NY · On-site

$400K - $700K/yr

Every value carries provenance metadata back to its exact source. Every computation is auditable and reproducible. Verification loops cross-check outputs before users ever see them. We started in ...

Kepler

Agentic Systems Engineer

New York, NY · On-site

$250K - $350K/yr

Every value carries provenance metadata back to its exact source. Every computation is auditable and reproducible. Verification loops cross-check outputs before users ever see them. We started in ...

Kepler

Full Stack Engineer

New York, NY · On-site

$200K - $280K/yr

Every value carries provenance metadata back to its exact source. Every computation is auditable and reproducible. Verification loops cross-check outputs before users ever see them. We started in ...

NYULMC

Senior Cloud Platform Engineer

New York, NY · On-site

$114K - $157K/yr

This role will support data ingestion, harmonization, metadata and provenance tracking, secure analytic workspaces, APIs, and federated data access. The engineer will work closely with data ...

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Provenance information

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$8

$26

$61

How much do provenance jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for provenance in the United States is $26.34, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $30.77 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Provenance Specialist, and why are they important?

To thrive as a Provenance Specialist, you need a solid background in art history, research methodologies, and often a relevant degree in art, history, or museum studies. Familiarity with collection management systems, digital archives, and provenance databases is typically required. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for success in this role. These skills ensure the accurate tracing of an object's history, supporting authenticity, legal compliance, and institutional trust.

What is provenance in the context of jobs and why is it important?

Provenance, in a professional or industrial context, refers to the documentation of the origin, history, and ownership of an object, data, or product. It helps track how something was created, modified, and transferred over time. Understanding provenance is crucial for ensuring authenticity, quality control, regulatory compliance, and traceability, especially in fields like art, food production, supply chain management, and data science. Employers value professionals who can establish and verify provenance because it safeguards against fraud, maintains accountability, and supports transparency.

What is the difference between Provenance vs Data Analyst?

AspectProvenanceData Analyst
Required CredentialsKnowledge of data lineage, metadata management, and sometimes certifications in data managementDegree in statistics, mathematics, or related field; often certifications in data analysis tools
Work EnvironmentData management teams, IT departments, or data governance unitsBusiness intelligence teams, marketing, finance, or operations departments
Industry UsageUsed in data governance, data quality, and compliance contextsUsed across industries for data interpretation, reporting, and decision-making

Provenance focuses on tracking the origin and history of data, ensuring data integrity and compliance. Data Analysts interpret and analyze data to generate insights. While Provenance deals with data lineage and metadata, Data Analysts focus on data analysis and reporting. Both roles are essential in data-driven organizations but serve different functions within the data lifecycle.

What are some common challenges faced by professionals working in provenance research roles?

Professionals in provenance research often encounter challenges such as incomplete or missing historical records, language barriers in source documents, and the need to verify the authenticity of artifacts or artworks. Collaboration with curators, historians, legal experts, and sometimes law enforcement is essential to trace the history and ownership of items. Staying organized and detail-oriented is crucial, as even small discrepancies can impact the credibility of research findings. Those in this field should be prepared for meticulous investigative work and the need to adapt to evolving ethical and legal standards.
More about Provenance jobs
What cities are hiring for Provenance jobs? Cities with the most Provenance job openings:
What states have the most Provenance jobs? States with the most job openings for Provenance jobs include:
What job categories do people searching Provenance jobs look for? The top searched job categories for Provenance jobs are:
Provenance jobs near you
Infographic showing various Provenance job openings in the United States as of July 2026, with employment types broken down into 91% Full Time, 7% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $54,791 per year, or $26.3 per hour.

Software Engineer

Periodic Labs

Menlo Park, CA • On-site

Full-time

Re-posted 10 days ago

Job description

About Periodic Labs
We are an AI + physical sciences lab building state of the art models to make novel scientific discoveries. We are well funded and growing rapidly. Team members are owners who identify and solve problems without boundaries or bureaucracy. We eagerly learn new tools and new science to push forward our mission.
About the Role
At Periodic Labs, our scientists don't just design experiments - they direct an automated materials synthesis lab that runs around the clock. Behind that lab is a system that has to work: scheduling dozens of instruments, tracking every sample from precursor to characterization, and orchestrating multi-step synthesis pipelines without dropping a single data point.
As our software engineer, you'll work with the engineering lead to build the orchestration systems that make all of this possible. You'll scale the scheduling, workflow, and data provenance systems that coordinate furnaces, dispensers, diffractometers, and more - turning scientific intent into fully attributable, reproducible outcomes at scale.
This is a senior, full-stack, production-grade role. You'll work across Python backends, React interfaces, and cloud infrastructure to ship systems that run reliably with minimal intervention. You'll work closely with our engineering lead and directly alongside scientists in the lab - understanding where things break, and building the systems that make them not break.
What You'll Do
  • Own and evolve the platform that orchestrates our automated synthesis lab - scheduling instruments, managing workflows, and tracking samples end-to-end
  • Build workflow orchestration for multi-step synthesis pipelines, including DAG execution, dependency resolution, and retry logic for long-running lab processes
  • Design and implement instrument scheduling systems that handle contention, prioritization, and batching across shared equipment with competing demands
  • Ensure complete data provenance - every sample, every action, every result is fully traceable with unambiguous lineage
  • Build the React interfaces that give scientists and lab operators visibility into experiment state, queue status, and system health
  • Work closely with infrastructure and lab engineering to keep systems reliable as we scale instrument count and experiment throughput
  • Identify bottlenecks in how science gets done and turn them into software before they become crises

You Will Thrive in This Role If You Have Experience With
  • Building production MES, LIMS, ERP, or process control systems where correctness is non-negotiable
  • Workflow and DAG orchestration - designing execution graphs that are robust, inspectable, and recoverable
  • Concurrent systems: resource locking, scheduling, and contention handling across shared infrastructure
  • Data modeling for audit and provenance use cases, including event sourcing or append-only architectures
  • Full-stack development across Python, React, and cloud-native infrastructure (Kubernetes a plus)
  • Scheduling algorithms for shared resources with hard and soft constraints
  • Working in or alongside physical lab, manufacturing, or materials environments

Especially Strong Candidates May Also Have
  • Direct experience in powder synthesis, ceramics, or materials manufacturing environments
  • Familiarity with laboratory instrumentation protocols and instrument communication standards
  • Experience with event sourcing or CQRS architectures at production scale

Apply