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Contract Knowledge Graph Software Engineer Jobs in Manchester, KY

Startup Talents

Research Crawling Engineer

London, KY · On-site

$150 - $200/hr

You will join a company at the forefront of developing a web‑scale crawler and knowledge graph ... Contract: Permanent role (Full remote - USA or 6 hour overlap with EST) * Salary: $150k to $225k ...

Grupo Bimbo

Electrical Controls Specialist

London, KY · On-site

$74K - $97K/yr

... engineering and IT when needed (Knowledge of server systems is a plus) * Manage Rockwell Automation software on department PC's as well as ensuring all control devices are up to date with firmware ...

Bimbo Bakeries

Electrical Controls Specialist

London, KY · On-site

$74K - $97K/yr

... engineering and IT when needed (Knowledge of server systems is a plus) Manage Rockwell Automation software on department PC's as well as ensuring all control devices are up to date with firmware and ...

CACI

Systems Administrators

London, KY · On-site

... software requests, troubleshooting resources, and knowledge management content. Participate in ... Collaborate with Government stakeholders, Product Teams, engineering teams, service desk personnel ...

All JobsContract Knowledge Graph Software Engineer JobsContract Knowledge Graph Software Engineer Jobs in Manchester, KY

Contract Knowledge Graph Software Engineer information

See Manchester, KY salary details

$42.1K

$97.7K

$136.1K

How much do contract knowledge graph software engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for contract knowledge graph software engineer in Manchester, KY is $97,722.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,500.00 and $114,600.00 per year, depending on experience, location, and employer.

What is a contract knowledge graph software engineer?

A Contract Knowledge Graph Software Engineer is a professional who specializes in designing, developing, and maintaining knowledge graphs on a contract basis. Knowledge graphs are data structures that represent relationships between entities, enabling more effective data integration and semantic search. These engineers often work with graph databases, semantic web technologies, and ontologies to help organizations manage and leverage complex data. Their contract role means they are typically hired for specific projects or fixed periods rather than as permanent employees.

What are the key skills and qualifications needed to thrive as a contract knowledge graph software engineer?

To thrive as a Contract Knowledge Graph Software Engineer, you need a strong background in computer science, proficiency in graph databases (such as Neo4j or Amazon Neptune), and experience with knowledge representation and data modeling. Familiarity with programming languages like Python or Java, as well as tools for semantic web technologies (RDF, SPARQL), is typically required. Strong problem-solving skills, adaptability, and effective collaboration are essential soft skills in this role. These competencies ensure efficient design and implementation of complex knowledge graphs, enabling organizations to unlock valuable insights from their data.

How does a contract knowledge graph software engineer typically collaborate with data scientists and domain experts during a project?

As a Contract Knowledge Graph Software Engineer, you’ll often work closely with data scientists and domain experts to ensure that the knowledge graph accurately represents the underlying data and business logic. Collaboration usually involves regular meetings to clarify requirements, discuss data models, and review results. You may be tasked with translating complex domain concepts into graph structures, while also providing feedback on data quality and integration challenges. This cross-functional teamwork ensures that the final product meets both technical standards and business needs.

What is the difference between Contract Knowledge Graph Software Engineer vs Contract Data Engineer?

AspectContract Knowledge Graph Software EngineerContract Data Engineer
Required CredentialsBachelor's in CS or related, knowledge of graph databases, programming skillsBachelor's in CS, experience with data pipelines, SQL, and cloud platforms
Work EnvironmentTech companies, consulting firms, project-based rolesData-focused teams, cloud environments, analytics projects
Industry UsageAI, semantic web, knowledge managementData warehousing, big data, analytics

The Contract Knowledge Graph Software Engineer primarily focuses on developing and maintaining knowledge graphs using graph databases and semantic technologies, while the Contract Data Engineer concentrates on building data pipelines, managing large datasets, and supporting analytics. Both roles require strong programming skills and are often found in tech-driven industries, but they serve different core functions within data and knowledge management ecosystems.

What cities near Manchester, KY are hiring for Contract Knowledge Graph Software Engineer jobs?

Cities near Manchester, KY with the most Contract Knowledge Graph Software Engineer job openings:

Contract Knowledge Graph Software Engineer jobs near you

Research Crawling Engineer

Startup Talents

London, KY • On-site

$150 - $200/hr

Other

Posted 6 days ago

Key responsibilities

  • Design and operate large-scale web data acquisition systems for research and model development.

  • Monitor crawl performance, coverage, and data quality; iterate quickly to improve systems.

  • Handle anti-bot systems, rate limits, and dynamic/JS-heavy sites to ensure effective data collection.

Job description

London, United States | Posted on 30/04/2026

They also operate a massive distributed crawler, giving them unique access to high‑quality public web data at global scale.

About the role

They are hiring a Research Crawling Engineer (Full remote - USA/EU, 6 hour overlap with EST). You will join a company at the forefront of developing a web‑scale crawler and knowledge graph that improves access to public web data and extends the value of AI to the people.

As a Research Crawling Engineer, you will design and operate large‑scale web data acquisition systems for research and model development. Your work will span distributed systems, scraping infrastructure, and data pipelines.

Key Responsibilities
  • Operate at the boundary of scale and reliability
  • Adapt to constantly changing web environments
  • Balance throughput, coverage, and data quality
  • Own end‑to‑end data acquisition pipelines
MISSIONS
  • Design high‑throughput, fault‑tolerant systems for data collection (millions to billions of URLs/day)
  • Handle anti‑bot systems, rate limits, and dynamic/JS‑heavy sites
  • Develop pipelines for cleaning, deduplication, filtering, and normalisation
  • Construct and maintain datasets for research and model training
  • Monitor crawl performance, coverage, and data quality; iterate quickly
  • Collaborate with research teams to align data collection with modeling needs
  • Optimize infrastructure for cost, latency, and reliability
Example Projects
  • Build a distributed crawler for a continuously updated, high‑quality web project
  • Design a system to classify and filter billions of pages for pretraining
  • Extract structured data from dynamic, JS‑heavy sites at scale
  • Improve deduplication and quality scoring across multimodal datasets
Requirements
  • Strong programming experience in one or more of: Go, Rust, Python, Java, or C++
  • Experience working for reputable companies
  • Experience building and maintaining large‑scale web crawlers or data pipelines
  • Experience designing high‑throughput, fault‑tolerant systems for data collection (millions to billions of URLs/day)
  • Experience handling anti‑bot systems, rate limits, and dynamic/JS‑heavy sites
  • Experience constructing and maintaining datasets for research and model training
  • Familiarity with distributed systems and parallel processing
  • Experience working with large datasets (TB–PB scale preferred)
  • Ability to debug unstable or adversarial environments
Preferred / Bonus
  • Experience with NLP pipelines or dataset curation for ML
  • Familiarity with LLM pretraining data or retrieval systems
  • Knowledge of proxy systems, IP rotation, and large‑scale request orchestration
  • Background in data quality evaluation or benchmarking
  • Experience running workloads on cloud or bare‑metal infrastructure
Main Evaluation Criteria
  • Ability to design systems that scale without degrading quality
  • Practical problem‑solving under real‑world constraints
  • Speed of iteration and ownership
  • Measurable improvements in data coverage, quality, or efficiency
  • Contract: Permanent role (Full remote – USA or 6 hour overlap with EST)
  • Salary: $150k to $225k based on experience and demonstrated ability to operate at scale + equity package/tokens
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