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Cortex Jobs in California (NOW HIRING)

AmaWaterways, LLC

Data Analytics Engineer

Calabasas, CA · On-site

$90K - $100K/yr

Cortex Analyst semantic YAML for natural-language data exploration by our internal users. * Data quality tests on every model you author, with clear ownership of the freshness and accuracy SLAs.

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Cortex information

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 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.

What are the most commonly searched types of Cortex jobs in California? The most popular types of Cortex jobs in California are:
What are popular job titles related to Cortex jobs in California? For Cortex jobs in California, the most frequently searched job titles are:
What job categories do people searching Cortex jobs in California look for? The top searched job categories for Cortex jobs in California are:
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Cortex jobs near you

Data Analytics Engineer

AmaWaterways, LLC

Calabasas, CA • On-site

$90K - $100K/yr

Full-time

Posted yesterday

Job description

At AmaWaterways, we believe meaningful careers begin with purpose, passion and a shared commitment to delivering unforgettable experiences. For those who value curiosity, connection and personal enrichment, AmaWaterways offers the opportunity to help craft meaningful river journeys that invite travelers to follow their own current. Built on a foundation of heartfelt hospitality, we treat our guests—and each other—with genuine care, warmth and respect. AmaWaterways fosters a collaborative environment both onboard our ships and across our global network of offices, where team members grow together, support one another and take pride in upholding the high standards and thoughtful service our company is known for.

We invite talented, motivated professionals to explore our career opportunities and begin their journey with AmaWaterways today.

Role Summary

AmaWaterways is hiring a Data Analytics Engineer to own the analytics layer of our modern data platform. You will design governed data marts, build the semantic layer that powers our scorecards, and partner directly with Finance, Marketing, Revenue Management, Operations, and Reservations to turn ambiguous business questions into trusted models and dashboards. You will work on top of a Snowflake-native warehouse that is actively being built out, alongside a Senior Data Engineer who owns the ingestion plumbing. You will apply software engineering practices to analytics: version control, dbt tests, CI/CD, and clear documentation. You will also be an AI-native practitioner. Our daily environment is Claude Code, Snowflake Cortex, and dbt Cloud, and we expect you to use them fluently, not curiously.

What You Will Build
  • Governed semantic models in dbt for our top business KPIs: bookings, occupancy, revenue, cancellations, retention, marketing performance, and operations metrics.
  • Marts and reporting views on top of our medallion warehouse (Bronze, Silver, Gold, Reporting), with strict typing and clear grain documentation.
  • Tableau and Power BI assets that share a single source of truth in the warehouse. No off-platform calculations.
  • Cortex Analyst semantic YAML for natural-language data exploration by our internal users.
  • Data quality tests on every model you author, with clear ownership of the freshness and accuracy SLAs.
  • Companion views for the AMA Pulse scorecard (currently 72 KPIs across 894,000 rows of historical sailings).
  • BI assets that consolidate analytical work currently spread across the AMA Pulse Streamlit app, Tableau Cloud, and ad-hoc SQL.
Day to Day Responsibilities

Modeling and SQL

  • Build dbt models in our medallion layout. Use staging, intermediate, and mart models with explicit grain. Use SCD2 snapshots where business questions span time.
  • Write performant SQL in Snowflake. Read query profiles when something is slow. Use clustering and warehouse sizing deliberately.
  • Apply consistent naming conventions and audit columns across every mart.

Semantic layer and metric governance

  • Define metrics in the dbt Semantic Layer with explicit dimensions, time grains, and ownership.
  • Author Cortex Analyst semantic YAML for the marts that internal teams query through natural language.
  • Maintain a single canonical definition for every business KPI. No duplicate metric logic across Tableau, Power BI, and Streamlit.

BI development and governance

  • Build, optimize, and govern dashboards in Tableau Cloud and Power BI.
  • Implement row-level and object-level security, usage monitoring, and deployment workflows.
  • Audit and modernize legacy BI assets. Retire reports that nobody opens.

Data quality and reliability

  • Write dbt tests on every model: not-null, unique, relationships, accepted values, and custom business rules.
  • Add freshness checks and Snowflake Alerts to your gold and reporting models.
  • Track SLAs for the marts that feed leadership-facing reporting.

Stakeholder partnership

  • Translate ambiguous requests from Finance, Marketing, Revenue Management, Operations, and Reservations into models the rest of the team can also build on.
  • Write the kind of documentation your future self will want to read.
  • Partner with the Senior Data Engineer to make sure the source pipelines you depend on are designed correctly upstream.

AI-native analytics engineering

  • Use Claude Code as your primary working environment, including our shared data-team-skills plugin library.
  • Use Snowflake Cortex (Complete, Search, Analyst) to build natural-language interfaces, summarize text columns, classify free-text, and accelerate exploratory analysis.
  • Use multi-model review through zen-mcp when you are designing a new metric definition or auditing a complex SQL refactor.
Required Qualifications
  • 4+ years building governed analytics models and BI assets in a modern data warehouse.
  • Strong SQL on Snowflake. You can write window functions, recursive CTEs, and incremental MERGE patterns without searching the docs.
  • Production dbt experience: models, tests, snapshots, documentation, and CI runs.
  • Tableau (required) and Power BI (strongly preferred) at production quality, including parameterized dashboards, row-level security, and performance tuning on Snowflake-backed extracts or live connections.
  • Git and GitHub workflows with code review discipline.
  • You already use Claude Code, Cursor, or equivalent agent tooling daily, with concrete examples of what you ship faster because of it.
  • Strong written communication. You can explain a metric definition to a Finance leader and a SQL pattern to an engineer in the same week.
Strongly Preferred
  • dbt Semantic Layer.
  • Snowflake Cortex Analyst or Cortex Search in production.
  • GitHub Actions CI/CD for dbt projects.
  • Python for data work (pandas, snowflake-snowpark-python, ad-hoc scripting).
  • Domain experience in travel, hospitality, cruise, or consumer finance.
Nice to Have
  • Streamlit in Snowflake.
  • Salesforce Data Cloud or Salesforce Marketing Cloud reporting.
  • Power Automate flows for alert and notification routing.
  • Familiarity with Seaware, Oracle, or other reservation system data models.
  • Finance domain depth: revenue recognition, occupancy denominators, AOP targets.