Join JobLogic as a Contract-Based Data Engineer (Knowledge Graph Expert)
Company Name: JobLogic
Position Title: Data Engineer – Knowledge Graph (Contract-Based)
Location: Fully Remote (Work from Anywhere)
Industry: Technology / Data Engineering / Semantic Web
Employment Type: Contract-Based (Part-Time or Full-Time Flexibility)
Apply Email: Najamh@joblogic.com
Official Website: www.joblogic.com
Job Offering Company Introduction
JobLogic is a dynamic and forward-thinking technology company that operates at the intersection of innovation, data intelligence, and digital transformation. As a fast-evolving player in the tech industry, JobLogic offers specialized software, data-driven insights, and end-to-end digital solutions tailored for businesses looking to modernize their infrastructure and operations. With a culture centered on innovation and excellence, the company fosters a remote-first environment and a global team of experts who work collaboratively to solve real-world problems using advanced technologies.
Founded by a group of passionate technologists and data experts, JobLogic has rapidly built a reputation for delivering robust, scalable, and future-ready solutions across various industries including logistics, e-commerce, healthcare, and enterprise services. The company’s mission is to empower businesses by harnessing the full potential of data and automation, allowing organizations to make smarter decisions and operate more efficiently.
JobLogic places great emphasis on flexibility, adaptability, and deep technical competence. The company embraces a contractor-based talent model that allows it to tap into the global pool of high-performing professionals who bring specialized skills to every project. Whether it’s a startup looking to launch an MVP or a large enterprise aiming to optimize its operations, JobLogic designs and delivers custom-built systems that make data work smarter.
A core area of specialization for JobLogic lies in building and deploying Knowledge Graphs, semantic systems, and data architecture that enable context-aware information retrieval and interconnectivity between datasets. With the rise of AI and big data ecosystems, the company’s services have become increasingly sought-after in areas such as recommendation engines, digital twins, semantic search, and intelligent assistants.
Driven by a commitment to technological innovation, JobLogic has invested heavily in tools, platforms, and infrastructure that enable remote collaboration, version control, secure data handling, and scalable computation. Their team consists of data scientists, software engineers, systems architects, and domain experts who are passionate about delivering real value through cutting-edge data engineering.
If you are looking for a work environment that respects your independence, values technical depth, and offers you a platform to grow with exciting, real-world projects, JobLogic is the right place to contribute and learn. The company is now hiring a Contract-Based Data Engineer with a deep focus on Knowledge Graphs, offering the flexibility of remote work and the chance to be part of next-generation data architecture projects.
Job Description
The position of Data Engineer (Knowledge Graph Expert) at JobLogic is a contract-based opportunity designed for professionals who possess strong technical skills in graph-based data modeling and an in-depth understanding of semantic web technologies. Whether you prefer part-time or full-time work, this position offers flexibility and autonomy while giving you the chance to contribute to high-impact projects in a highly collaborative and fully remote environment.
As a Data Engineer, you will be responsible for building and maintaining Knowledge Graph systems that serve as the backbone of context-rich information discovery platforms. You will play a key role in developing data architectures that are semantically aware, scalable, and efficient in handling structured and unstructured data. Your daily responsibilities will involve implementing data pipelines, mapping ontologies, querying graph databases, and working closely with data scientists and domain experts to ensure data quality and contextual relevance.
Your main goal will be to design systems that help make sense of large volumes of complex data by creating relationships between data points through nodes, edges, and properties that reflect real-world logic. You will also be expected to write robust, well-documented, and reusable code for data ingestion, cleaning, transformation, and storage.
You will use technologies such as Neo4j, RDF, SPARQL, and OWL, and work extensively in Python or similar scripting languages. Your work will support various use cases including entity linking, recommendation systems, semantic search, and more. You should be capable of delivering end-to-end solutions—starting from requirements gathering to deployment and maintenance.
Moreover, the role requires you to have a strong understanding of ETL processes, as well as experience building scalable and secure data pipelines. You will be expected to work independently while being open to feedback, code reviews, and collaborative brainstorming sessions with a globally distributed team.
Key areas of responsibility will include:
- Designing and implementing scalable Knowledge Graphs that reflect real-world relationships and semantic logic.
- Building and optimizing data pipelines using Python or other scripting tools for ingesting and processing structured and unstructured data.
- Using technologies such as Neo4j, RDF, OWL, and SPARQL to model data semantically.
- Mapping ontologies and taxonomies for domain-specific data models.
- Collaborating with data scientists, product managers, and developers to ensure the system aligns with business requirements.
- Ensuring data integrity, security, and compliance throughout the pipeline.
- Writing reusable and maintainable code for data modeling and graph analytics.
- Participating in design reviews and architecture discussions.
- Staying up to date with emerging trends in data engineering, semantic web, and AI.
This opportunity is best suited for someone who is self-motivated, detail-oriented, and enjoys working on advanced technical challenges in a flexible environment. You’ll be empowered to shape your own workflow and deliver results based on outcomes rather than micromanagement.
Eligibility Criteria
To be eligible for the Data Engineer (Knowledge Graph) role at JobLogic, candidates should possess a mix of technical expertise, practical experience, and self-driven work ethic. Whether you are a mid-level engineer or a seasoned data professional, what matters most is your ability to build and manage Knowledge Graph systems with competence and creativity.
Candidates must demonstrate a track record of working with graph databases and semantic web technologies, along with solid experience in building data pipelines and scalable architectures. A keen interest in data modeling, semantic reasoning, and structured knowledge representation is essential.
Below is the complete list of qualifications and eligibility requirements for this role:
Educational Background:
- A Bachelor’s or Master’s degree in Computer Science, Data Engineering, Software Engineering, Information Systems, or a related field.
- Certifications or practical training in semantic technologies, data modeling, or graph databases are considered an asset.
Technical Skills:
- Proven experience with Knowledge Graphs and semantic data modeling.
- Hands-on experience with tools and frameworks such as Neo4j, RDF, OWL, SPARQL, and Gremlin.
- Proficiency in Python, especially for data engineering tasks, scripting, and automation.
- Understanding of ETL pipelines, data warehousing, and data orchestration frameworks.
- Experience with building and deploying scalable and modular data pipelines using tools like Apache Airflow, Kafka, or Luigi is preferred.
- Familiarity with RESTful APIs, JSON-LD, and linked data principles.
- Strong understanding of ontology design and data taxonomy creation.
- Ability to write performant SPARQL or Cypher queries for data retrieval and analytics.
Professional Experience:
- 2+ years of relevant work experience in data engineering, data architecture, or semantic systems (contract or full-time).
- Prior work experience in remote and asynchronous collaboration environments is desirable.
- Proven ability to deliver production-grade solutions that are scalable and reliable.
Soft Skills:
- Ability to work independently with minimal supervision while managing multiple tasks.
- Strong communication skills for reporting progress and collaborating with team members across different time zones.
- Critical thinking and problem-solving abilities for debugging and optimizing graph systems.
- Time management and self-discipline to meet project deadlines in a flexible remote environment.
- Collaborative attitude and willingness to contribute to technical discussions and feedback sessions.
Additional Preferences:
- Exposure to Machine Learning pipelines that consume structured graphs.
- Experience in recommendation engines, search systems, or semantic assistants.
- Passion for open data, linked data, and semantic interoperability.
Even if you do not meet 100% of the listed qualifications, JobLogic encourages you to apply if you believe you have the potential to contribute meaningfully to their team.
Location
This position is fully remote, allowing candidates to work from any location worldwide. JobLogic values performance, discipline, and innovation over geographic boundaries. Flexible working hours are provided, making this an ideal opportunity for professionals managing multiple commitments or preferring asynchronous work setups.
The company has a remote-first policy and uses modern collaboration tools to ensure transparency, communication, and teamwork among distributed teams.
Last Date
Applications for this position are open on a rolling basis, but we recommend submitting your resume by August 7, 2025 to be considered in the first round of reviews.
Early applications are strongly encouraged, as interviews and evaluations will begin immediately.
Apply Link
If you’re ready to bring your Knowledge Graph expertise to a team that values innovation and flexibility, we invite you to apply now.
Send your updated resume directly to:
Include the subject line: “Application for Data Engineer – Knowledge Graph (Contract)”
To learn more about the company and other roles, visit the official website of JobLogic:
🌐 www.joblogic.com
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