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Remote Semantic Jobs in Massachusetts (NOW HIRING)

Fabric Cloud Engineer

Boston, MA ยท Remote

$60.50 - $81/hr

Remote Duration: 6 months My client is seeking a Senior Fabric Developer to design, build, and ... This role partners closely with BI and business stakeholders to deliver trusted Power BI semantic ...

New

Fabric Cloud Engineer

Boston, MA ยท Remote

$60.50 - $81/hr

Remote Duration: 6 months My client is seeking a Senior Fabric Developer to design, build, and ... This role partners closely with BI and business stakeholders to deliver trusted Power BI semantic ...

New

Data Architect

Westwood, MA ยท Remote

$71.25 - $91.75/hr

... remote global workforce. If you are passionate about leading large-scale cloud and data ... Develop and enhance canonical data models, semantic models, and domaindriven data contracts to ...

AI Engineer

Boston, MA ยท Remote

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Fluency in writing and reading SQL, as well as understanding semantic models. * Familiarity with ...

Sr. Business Analyst

Framingham, MA ยท On-site +1

$95K - $122K/yr

Help develop and maintain semantic models for consistent metrics and definitions. QUALIFICATIONS ... We define total rewards as compensation, benefits, remote work/flexibility, development ...

Remote | Full-time | Competitive Compensation Apiphani is building the future of intelligent ... Develop data access and semantic search layers using vector databases (e.g., pgvector, Pinecone ...

Remote Semantic information

What are some common challenges faced by professionals working in remote semantic analysis roles, and how can they be addressed?

Professionals in remote semantic analysis roles often encounter challenges such as limited direct communication with colleagues, managing large and complex datasets, and maintaining alignment on project goals. To address these, it's important to proactively engage in regular virtual meetings, utilize collaborative tools for version control and annotation, and establish clear documentation standards. Building strong communication habits and staying updated on the latest semantic technologies can also help remote teams stay efficient and aligned.

What is the difference between Remote Semantic vs Remote Data Analyst?

AspectRemote SemanticRemote Data Analyst
Required CredentialsBachelor's in Linguistics, Computer Science, or related fields; knowledge of semantic technologiesBachelor's in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentCollaborative teams, often in tech or AI companies, remote or hybridData-focused teams, in tech, finance, or healthcare sectors, remote or hybrid
Employer & Industry UsageTech companies, AI startups, NLP projectsBusiness, finance, healthcare, tech industries
Common Search & ComparisonYesNo

Remote Semantic professionals focus on understanding and applying semantic technologies, often in NLP and AI projects, requiring linguistics or computer science credentials. Remote Data Analysts analyze data sets to inform business decisions, requiring strong statistical skills. While both roles can be remote and work in tech environments, their core skills and industry applications differ significantly.

What are the key skills and qualifications needed to thrive as a remote semantic analyst?

To thrive as a Remote Semantic Analyst, you need a strong background in linguistics, data analysis, and natural language processing, often supported by a relevant degree. Familiarity with semantic annotation tools, machine learning platforms, and programming languages like Python is commonly required. Attention to detail, critical thinking, and effective remote communication are crucial soft skills in this role. These competencies ensure accurate analysis and interpretation of language data, supporting the development of advanced AI and search technologies.

What is a remote semantic job?

Remote semantic jobs involve working with the meaning and interpretation of language, often in the context of natural language processing (NLP), artificial intelligence, or data analysis, but performed from a remote location. These roles may include tasks such as semantic annotation, ontology development, or improving search and recommendation systems. Professionals in these jobs typically use linguistic, analytical, and technical skills to help computers better understand human language. Remote semantic jobs are common in tech companies, research institutions, and organizations focused on language technologies.
What are popular job titles related to Remote Semantic jobs in Massachusetts? For Remote Semantic jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Remote Semantic jobs in Massachusetts look for? The top searched job categories for Remote Semantic jobs in Massachusetts are:
What cities in Massachusetts are hiring for Remote Semantic jobs? Cities in Massachusetts with the most Remote Semantic job openings:

Fabric Cloud Engineer

3B Staffing LLC

Boston, MA โ€ข Remote

$60.50 - $81/hr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Must have built out a fabric platform Must Have's:
  • Must have built out a Microsoft Fabric platform previously - able to effectively activate a data lake strategy, build the infrastructure of it, it's settings as well as all the documentation
  • Has extensive depth and knowledge of Microsoft Fabric
  • Has a data mindset managing large data lakes and infrastructure
Title: Senior Fabric Developer Location: Boston MA Onsite Requirements: Remote Duration: 6 months Job Description My client is seeking a Senior Fabric Developer to design, build, and optimize scalable data pipelines and architectures within Microsoft Fabric, supporting Lakehouse/Warehouse solutions, Medallion architecture, and governed analytics. This role partners closely with BI and business stakeholders to deliver trusted Power BI semantic models, enforce data quality, security, and compliance (Purview/RBAC), and enable advanced analytics and AI initiatives. The ideal candidate brings strong SQL and Python skills, hands-on Fabric experience, and a DevOps/Agile mindset with CI/CD and Git-based workflows. Responsibilities/Must Haves:
  • Hands-on Microsoft Fabric expertise (Data Factory, Dataflows Gen2, Notebooks, Lakehouse/Warehouse) with proven experience building reliable, incremental ETL/ELT pipelines and Medallion architecture.
  • Strong SQL (T-SQL) and Python skills for data transformation, automation, and performance optimization, plus experience publishing governed Power BI semantic models (DAX/Power Query).
  • Governance, security, and DevOps experience in regulated environments, including RBAC, data quality/lineage (Microsoft Purview), and CI/CD with Git (Azure DevOps preferred).