1

Cortex Jobs in Massachusetts (NOW HIRING)

Snowflake Developer

Boston, MA · On-site

$124K - $149K/yr

Experience with Snowflake Cortex, Snowpark, UDFs, dynamic tables, streams, and tasks. * Familiarity with AI workloads: embeddings, vector search, RAG, LLM orchestration pipelines. * Experience with ...

Senior Site Reliability Engineer I

Boston, MA · On-site

$62 - $82.25/hr

You'll work across the full observability stack: from distributed tracing adoption (OpenTelemetry, Jaeger) to log infrastructure (Loki, Alloy) to metrics (Cortex, Prometheus, Grafana). You'll partner ...

Senior Site Reliability Engineer I

Boston, MA · On-site

$62 - $82.25/hr

Maintain and improve Axon's metrics infrastructure (Cortex, Prometheus, Grafana) - the foundation for alerting, dashboards, and SLO tracking across all of Axon's environments * Write internal tooling ...

Maintain and improve Axon's metrics infrastructure (Cortex, Prometheus, Grafana) - the foundation for alerting, dashboards, and SLO tracking across all of Axon's environments * Write internal tooling ...

New

Snowflake Developer

Boston, MA

$124K - $149K/yr

Experience with Snowflake Cortex, Snowpark, UDFs, dynamic tables, streams, and tasks. * Familiarity with AI workloads: embeddings, vector search, RAG, LLM orchestration pipelines. * Experience with ...

Snowflake Cortex / Cortex Agents * Vector Databases * Azure Machine Learning (Azure ML) * MLOps and Model Monitoring * React and/or Angular * Experience in Manufacturing, Supply Chain, or Life ...

New

Partner with data engineers on Snowflake backed retrieval patterns (Cortex Analyst and Cortex Search Services) * Contribute to refining our internal engineering patterns as the stack evolves What you ...

Senior Associate, Data Engineer

Boston, MA · On-site

$115K - $156K/yr

... Cortex initiative built on top of an existing enterprise data lake with complex datasets and interconnected systems • Support the delivery of innovative data solutions in a fast-paced ...

Senior Firmware Engineer

Andover, MA · On-site

$121K - $160K/yr

PWM /ADC) for 32 microcontroller (ARM Cortex-M) using C programming language * Experience with real time debugging tools (software and hardware) * Knowledge on embedded software validation and test ...

Snowflake Architect

Boston, MA · On-site

$69.25 - $89/hr

Leverage built-in Snowflake machine learning capabilities (like Snowflake Cortex AI) to supplement and automate human-based data validation. Typical Qualifications & Experience Experience: 10+ years ...

Saw Operator- 1st Shift

Agawam, MA · On-site

$17 - $20.25/hr

Saw and Planer Operator - Cortex OMG Inc. is a leading manufacturer of fastening products and technologies for the commercial roofing and construction industries worldwide. Headquartered in western ...

Saw and Planer Operator - Cortex 2nd Shift OMG Inc. is a leading manufacturer of fastening products and technologies for the commercial roofing and construction industries worldwide. Headquartered in ...

Saw and Planer Operator - Cortex 2nd Shift OMG Inc. is a leading manufacturer of fastening products and technologies for the commercial roofing and construction industries worldwide. Headquartered in ...

Saw Operator- 1st Shift

Agawam, MA · On-site

$17 - $20.25/hr

Saw and Planer Operator - Cortex OMG Inc. is a leading manufacturer of fastening products and technologies for the commercial roofing and construction industries worldwide. Headquartered in western ...

Showing results 21-40

Cortex information

See Massachusetts salary details

$80.3K

$133.2K

$179.1K

How much do cortex jobs pay per year?

As of Aug 22, 2026, the average yearly pay for cortex in Massachusetts is $133,247.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,500.00 and $154,000.00 per year, depending on experience, location, and employer.

What is a Cortex?

A Cortex job typically refers to a role within a machine learning or AI platform team that focuses on optimizing infrastructure, managing model deployment, and ensuring scalable performance. Cortex can also relate to roles within companies that develop AI-powered tools or work on neural processing technologies. Responsibilities may include building scalable ML services, integrating with cloud platforms, or maintaining real-time inference systems. The specific job details can vary depending on the company and industry.

What are some common challenges faced by Cortex engineers when integrating new services with complex microservice architectures?

Cortex engineers often deal with the complexity of integrating new services into an existing microservices ecosystem, which requires a deep understanding of distributed system patterns, observability, and reliability concerns. Challenges can include managing service discovery, handling data consistency, and ensuring efficient communication between services. Collaborating closely with platform, DevOps, and security teams is essential to ensure smooth deployments and maintain system stability. Overcoming these challenges can be highly rewarding, as it provides opportunities to innovate and improve infrastructure at scale.

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

To thrive as a Cortex Engineer, you need a strong background in software engineering, distributed systems, and data storage, often backed by a degree in computer science or a related field. Experience with monitoring platforms like Prometheus, cloud environments (AWS, GCP), and familiarity with the Cortex open-source project are highly valuable. Strong problem-solving skills, effective communication, and a collaborative mindset help individuals excel in this role. These skills are critical for building scalable, reliable monitoring solutions that support large-scale infrastructure and development teams.

What is the difference between Cortex vs Data Analyst?

AspectCortexData Analyst
Required CredentialsTypically requires knowledge of neuroscience, psychology, or related fields; may include certifications in neurotechnologyUsually requires a degree in statistics, mathematics, or data science; certifications like Microsoft Data Analyst or Tableau are common
Work EnvironmentResearch labs, healthcare settings, neurotechnology companiesBusiness offices, consulting firms, data-driven industries
Employer & Industry UsageNeuroscience research, neurotech startups, healthcareFinance, marketing, healthcare, technology

While both roles involve data handling, Cortex specialists focus on neuro-related data and brain research, whereas Data Analysts work across various industries analyzing business data to inform decisions.

What are popular job titles related to Cortex jobs in Massachusetts?

For Cortex jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Cortex jobs in Massachusetts look for?

The top searched job categories for Cortex jobs in Massachusetts are:

What cities in Massachusetts are hiring for Cortex jobs?

Cities in Massachusetts with the most Cortex job openings:

Infographic showing various Cortex job openings in Massachusetts as of August 2026, with employment types broken down into 95% Full Time, 1% Part Time, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $133,247 per year, or $64.1 per hour.

$124K - $149K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago


Job description

About the Opportunity
Job Summary
The Snowflake Developer is responsible for designing, developing, optimizing, and operationalizing Northeastern University's Snowflake data platform. This role requires deep expertise in Snowflake's core capabilities-including data modeling, performance tuning, ELT pipelines, security controls, and orchestration-while also preparing the university for advanced AI and data product capabilities using Snowflake Cortex, Snowpark, vectorized storage, and machine-learning features.
The developer will work across legacy data structures (Banner, Workday, Salesforce, ServiceNow, and other enterprise systems) and build modern, scalable data pipelines and transformations that enable analytics, automation, applied AI, and agentic workflows. This role is foundational to transforming our data platform into an AI-ready environment.
*Applicants must be authorized to work in the United States. The University is unable to work sponsor for this role, now or in the future.
Minimum Qualifications
Education: Bachelor's degree in Information Systems, Computer Science, Engineering, or a related field required
Experience:
  • 4-6+ years of experience building cloud-native data pipelines or enterprise data platforms.
  • 3-5+ years of direct Snowflake development experience.
  • Demonstrated ability to modernize legacy data structures and migrate workloads into Snowflake.
  • Experience working with enterprise systems such as Workday, Salesforce, and/or ServiceNow.

Technical Competencies:
  • Deep knowledge of Snowflake architecture, warehouses, micro-partitioning, clustering, performance tuning, and cost optimization.
  • Strong SQL and ELT development skills including DBT, Fivetran, Informatica, or similar tools.
  • Experience with Snowflake Cortex, Snowpark, UDFs, dynamic tables, streams, and tasks.
  • Familiarity with AI workloads: embeddings, vector search, RAG, LLM orchestration pipelines.
  • Experience with ETL/ELT frameworks, API integrations, and event streaming (Kafka/EventHub).
  • Understanding of data modeling, data vault, star/snowflake schema, and data products.

Required Skills:
  • Ability to write clean, optimized SQL and pipeline code.
  • Strong analytical and troubleshooting skills with ability to diagnose poorly performing workloads.
  • Ability to translate business requirements into Snowflake data structures and pipelines.
  • Strong collaboration and communication skills with cross-functional technical and non-technical teams.
  • Ability to prioritize workload in a fast-paced environment with shifting needs.

Preferred Qualifications
  • SnowPro Core, SnowPro Advanced, or Snowflake Solutions Architect certifications.
  • Experience with Snowflake's AI/ML stack (Cortex, Snowpark ML, Vector Stores).
  • Experience with DBT Cloud, GitHub Actions, CI/CD for data pipelines.
  • Experience enabling AI workflows in Snowflake (RAG, inference endpoints, embeddings).
  • Experience in higher education or other federated organizations.

24/7 operational support:
This role requires occasional availability outside of traditional working hours to address urgent business needs as they arise, including, but not limited to, responding to security incidents, supporting software deployments, resolving system issues, and addressing other critical operational requirements. The ideal candidate must be proactive and adaptable, ensuring minimal disruption to business operations by promptly addressing any issues, regardless of time or day. Flexibility and a strong sense of urgency are essential for success in this position.
Other duties as required:
This role requires flexibility in performing duties outside of the primary responsibilities to support evolving business needs. The ideal candidate must be adaptable and willing to take on additional tasks or projects as required, ensuring smooth operations across the organization. This may include stepping in to assist with cross-functional teams, handling unexpected challenges, or contributing to initiatives that support business growth and success. A proactive mindset and the ability to pivot quickly are essential for thriving in this dynamic environment.
Hybrid work schedule:
This role is hybrid and in the office three days a week to facilitate collaboration and teamwork. In-office presence is an essential part of our on-campus culture and allows for engaging directly with staff and students, sharing ideas, and contributing to a dynamic work environment. Being on-site allows for stronger connections, more effective problem-solving, and enhanced team synergy, all of which are key to achieving our collective goals and driving success
Key Accountabilities & responsibilities
Snowflake Development & Optimization
  • Build and maintain Snowflake schemas, tables, dynamic tables, materialized views, file formats, stages, and secure data sharing structures.
  • Develop performant SQL/ELT code using Snowflake best practices, including clustering, micro-partitioning, and query profiling.
  • Monitor workloads and optimize compute usage, warehouses, and storage for cost and performance efficiency.

Data Pipeline & Integration Development
  • Design and develop ELT pipelines with Fivetran, DBT, Informatica, or equivalent tools.
  • Integrate legacy and cloud systems (Banner, Workday, Salesforce, ServiceNow, Azure) into Snowflake.
  • Build scalable ingestion patterns including batch, event-driven, and incremental data pipelines.

AI & Advanced Snowflake Capabilities
  • Work with Snowflake Cortex for AI/ML workloads including embedding generation, LLM inference, and cognitive search.
  • Develop Snowpark Python transformations, UDFs, and machine-learning features.
  • Implement vectorized storage, model-serving patterns, and AI-ready data transformations.
  • Support RAG/semantic search pipelines and agentic workflows leveraging Snowflake-native AI features.

Data Quality, Governance & Security
  • Implement data quality rules, metadata tagging, lineage tracking, and documentation.
  • Manage roles, RBAC, masking policies, and compliance with FERPA/GDPR/security controls.
  • Ensure all datasets and products meet consistency, reliability, and discoverability standards.
  • undefined

Collaboration & Cross-Functional Support
  • Partner with data architects, data engineers, analytics teams, and domain stewards.
  • Support academic and administrative units requiring Snowflake solutions.
  • Troubleshoot, monitor, and improve existing data products in partnership with business and IT stakeholders.

Position Type
Information Technology
Additional Information
Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.
Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.
All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.
Compensation Grade/Pay Type:
113S
Expected Hiring Range:
$113,865.00 - $165,105.00
With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.