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Cortex Jobs in Massachusetts (NOW HIRING)

Material Bank

Senior Data & AI Engineer

Boston, MA

$115K - $156K/yr

Working hands-on with Snowflake Cortex as our primary AI platform, you will help push the boundaries of what modern AI systems can do in an enterprise environment while helping define the future of ...

Vrtx

Director, Agent Intelligence - HYBRID ROLE

Boston, MA · Hybrid

$216K - $324K/yr

Strong experience with Snowflake (Cortex AI, Cortex Analyst, Cortex Search) and/or Databricks (Agent Bricks, AI Functions, Mosaic AI) in enterprise environments. * Full-Stack AI Engineering. Ability ...

Harvard University

Postdoctoral Fellow

Cambridge, MA · On-site

$67K/yr

D. in the fields of developmental and/or regenerative neurobiology, neuronal cell biology, and/or nervous system disease involving the cerebral cortex to join an ongoing research program focusing on ...

Northeastern University

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 ...

Axon

Senior Site Reliability Engineer I

Boston, MA

$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 ...

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All JobsCortex JobsCortex Jobs in Massachusetts

Cortex information

See Massachusetts salary details

$80.3K

$133.2K

$179.1K

How much do cortex jobs pay per year?

As of Jul 2, 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 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 Cortex jobs?

Cortex jobs typically refer to roles related to the development, management, or support of Cortex platforms or technologies. In the context of IT and software, 'Cortex' can be a microservices management platform or a cloud-based solution for managing software reliability and engineering workflows. People in Cortex jobs may work as software engineers, platform specialists, or solutions architects, focusing on building tools that help teams track software quality, manage service catalogs, and streamline operations. The specific responsibilities can vary depending on the company and the type of Cortex platform being used.

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 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 professions make 200,000 a year without a degree?

Roles such as commercial pilots, real estate brokers, and certain sales managers can earn $200,000 or more annually without requiring a college degree. Success in these professions often depends on experience, skills, licensing, or certifications rather than formal education.

Which 3 jobs will survive AI?

Jobs that require complex human interaction, creativity, and critical thinking, such as healthcare professionals, educators, and skilled tradespeople, are less likely to be fully automated by AI. These roles often involve emotional intelligence, nuanced judgment, and hands-on skills that AI cannot easily replicate. Continuous learning and adaptability are important for job security in an evolving AI landscape.

What is a Cortex job?

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.

Is Cortex a good company to work for?

Cortex offers roles that typically involve skills in data analysis, machine learning, and software development. The company's work environment and benefits vary, so researching employee reviews and company culture can provide more insight into job satisfaction. Overall, it is important to consider individual career goals and the specific role when evaluating employment at Cortex.

How much does Cortex pay?

The salary for a Cortex role varies depending on the position, experience, and location. Entry-level positions typically start around industry standard rates, while more experienced roles can offer higher compensation, often complemented by benefits and performance bonuses.
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:
Cortex jobs near you
Infographic showing various Cortex job openings in Massachusetts as of June 2026, with employment types broken down into 87% Full Time, 8% Part Time, 1% Temporary, and 4% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $133,247 per year, or $64.1 per hour.
Snowflake Cortex AI Tester

Snowflake Cortex AI Tester

Cognizant Technology Solutions

Boston, MA • On-site

$124K - $149K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

Cognizant rating

7.4

Company rating: 7.4 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

40th of 58 rated business consultants

Job description

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Senior Data Testing Engineer - Snowflake & AI Testing
About Cognizant
Cognizant (NASDAQ: CTSH) is one of the world's leading professional services companies, helping clients modernize technology, reimagine processes, and transform experiences so they can stay ahead in a rapidly changing world. Our associates work with some of the world's most recognized organizations to deliver innovative solutions across digital engineering, cloud, data, AI, and business transformation.
At Cognizant, we foster an inclusive, collaborative, and high-performing culture where diverse perspectives drive innovation and create meaningful impact for our clients.
Senior Data Testing Engineer - Snowflake & AI Testing
Job Summary
Cognizant is seeking an experienced Senior Data Testing Engineer to join our Data Engineering and Quality Assurance team. In this role, you will be responsible for ensuring the quality, integrity, reliability, and performance of enterprise data platforms, data pipelines, and AI-powered solutions.
The ideal candidate will possess deep expertise in Snowflake, advanced SQL, and automated data testing methodologies, along with experience validating complex ETL/ELT pipelines. This role requires a strong quality mindset, excellent analytical skills, and the ability to collaborate with cross-functional teams to deliver high-quality data products. Experience or familiarity with Snowflake Cortex AI and AI testing practices is highly desirable.
Key Responsibilities
  • Design, develop, and maintain scalable automated testing frameworks for data platforms, data warehouses, data lakes, and ETL/ELT processes.
  • Validate data transformations and business rules to ensure accuracy, completeness, consistency, and integrity across systems.
  • Perform source-to-target data validation, reconciliation, and end-to-end data quality testing.
  • Develop and execute complex SQL queries to validate data models, transformations, and reporting outputs.
  • Conduct performance validation and testing to ensure efficient utilization of Snowflake resources and optimal platform performance.
  • Collaborate with Data Engineering, Analytics, Product, and Business teams to define testing strategies and quality standards.
  • Integrate automated testing solutions into CI/CD pipelines to support continuous testing and rapid deployment of data assets.
  • Identify, document, prioritize, and track defects through resolution while driving root-cause analysis and process improvements.
  • Support testing and validation of AI-driven data solutions, including applications leveraging Snowflake Cortex AI capabilities.
  • Create and maintain test plans, test cases, automation assets, and quality metrics documentation.
  • Mentor and guide junior QA and Data Testing Engineers on testing best practices, automation techniques, and Snowflake technologies.
  • Contribute to continuous improvement initiatives focused on data quality, testing efficiency, and engineering excellence.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Engineering, Data Analytics, or a related field, or equivalent work experience.
  • 7+ years of experience in Data Quality Assurance, Data Testing, or Data Engineering with a significant focus on testing and validation.
  • Deep hands-on experience with Snowflake, including architecture, data structures, performance optimization, and best practices.
  • Advanced proficiency in SQL and experience developing complex queries for data validation and analysis.
  • Strong experience testing complex ETL/ELT pipelines and modern data integration solutions.
  • Experience working with tools and frameworks such as dbt, Fivetran, or similar data engineering technologies.
  • Experience designing and implementing automated data testing frameworks.
  • Strong understanding of data warehousing concepts, dimensional modeling, and data quality principles.
  • Experience integrating automated testing into CI/CD environments.
  • Excellent analytical, troubleshooting, and problem-solving skills with strong attention to detail.
  • Strong communication and stakeholder management skills with experience working in Agile delivery teams.
Preferred Qualifications
  • Hands-on experience or strong familiarity with Snowflake Cortex AI.
  • Experience testing AI, machine learning, or generative AI-enabled applications.
  • Knowledge of cloud-based data architectures and modern data platforms.
  • Experience with data observability, monitoring, and quality management tools.
  • Relevant Snowflake, cloud, or data engineering certifications.
Why Cognizant
  • Work with industry-leading cloud, data, and AI technologies.
  • Collaborate with highly skilled global teams on innovative transformation programs.
  • Access continuous learning, certification, and career growth opportunities.
  • Be part of an inclusive culture that values diversity, innovation, and professional development.
Equal Opportunity Employer Statement
Cognizant is an equal opportunity employer. We are committed to fostering a workplace where all employees are valued, respected, and empowered to succeed. Employment decisions are made without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, disability, veteran status, or any other protected characteristic under applicable law.
We are committed to providing reasonable accommodations for qualified individuals with disabilities during the application and employment process. Please contact us if you require accommodation or assistance.
Compensation
  • Base Salary Range: $100,000 - $115,000 per year
  • Final compensation is based on experience, skills, and location
  • Eligible for performance-based bonuses and incentive compensation
Benefits
Cognizant offers a comprehensive benefits package designed to support your overall well-being and career growth:
  • Health & Wellness: Medical, dental, and vision insurance
  • Financial Security: 401(k) with company match, life insurance, disability coverage
  • Time Off: Generous PTO, paid holidays, and parental leave
  • Learning & Development: Training programs, certifications, and career advancement opportunities
  • Flexible Work Model: Hybrid work environment supporting work-life balance
  • Employee Programs: Wellness initiatives, employee resource groups, and recognition programs
Why Join Cognizant?
  • Work on enterprise-scale data and analytics platforms
  • Collaborate with global teams and industry-leading clients
  • Grow your career in a high-impact, data-driven environment
  • Be part of a culture focused on innovation, inclusion, and excellence

About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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