Snowflake Cortex

Snowflake Cortex Engineer Jobs

3 jobs found

Today

Snowflake Data Engineer II

Deloitte Rosslyn, VA

Rosslyn, VA

Today

$98k - $163k/yr Full time Backend Developer Aws Data Engineer Azure Data Engineer

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Job Description

Join Deloitte as a Data Engineer II to design and deploy enterprise data solutions on the Snowflake platform in an onsite role in Rosslyn, VA.

Responsibilities

Own architecture and implementation of advanced Snowflake solutions, spanning large-scale data pipelines through production-ready AI/ML model delivery.
Advise senior stakeholders on end-to-end data strategy, including best practices for data engineering, MLOps, BI, and data governance on Snowflake.
Lead development of robust data pipelines, analytics-ready data models, and scalable machine learning applications.
Run technical discussions with business and functional analysts to translate complex requirements into solution designs, based on proven project outcomes.

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Legal authorization to work in the United States without employer sponsorship, now or at any time in the future.
Ability to obtain and maintain a US government security clearance.
2+ years of real-world experience in a client-facing role, advising on and implementing end-to-end solutions on the Databricks platform.
1+ years of hands-on Snowflake experience, including experience with at least one of: Cortex AI, Cortex LLM Functions, Cortex Agents, Arctic Embed.
1+ years with cloud ecosystems (AWS, Azure, GCP) and MLOps principles, including Databricks Platform administration on a cloud provider.
Ability to travel up to 25% on average based on client needs and industries/sectors.

Preferred

Strong leadership, communication, and stakeholder management skills.
Active Snowflake certifications.
Data engineering experience with Spark, Airflow/dbt, streaming, data modeling, or an ML/data science background involving feature engineering, experimentation, or model evaluation.
Public sector experience preferred.
Active public sector security clearance preferred.

Tools & Technologies

Snowflake, Databricks
Cortex AI, Cortex LLM Functions, Cortex Agents, Arctic Embed
AWS, Azure, GCP

Compensation

USD 97,700 - 162,800 per year.

Role context: This listing accounts for a wide range of factors used to make compensation decisions; the reasonable estimate of the current range is $97,700 to $162,800.

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8d ago

Data Engineer, AI & Automation

Sound Income Group LLC Fort Lauderdale, FL

Fort Lauderdale, FL

8d ago

Full time AI Ai Agent Platform Analytics

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Job Description

Sound Income Strategies is seeking a Data Engineer, AI & Automation to modernize operational data infrastructure, reporting, and business workflows. This role is a hands-on owner of backend data engineering and applied AI automation, reporting to the Chief Technology Officer.

Key Responsibilities

Develop and maintain backend data pipelines, integrations, and data models in Snowflake to support accurate, accessible operational data.
Work within the existing data aggregation architecture and integrate and reconcile information from custodians such as Schwab, trading platforms such as Orion, portfolio reporting systems such as Black Diamond, and supplemental sources.
Analyze source data, investigate discrepancies, and implement validation, reconciliation, and quality checks to ensure reporting and downstream applications use complete, accurate information.
Translate complex data into business outputs and partner with internal stakeholders and front-end contributors to validate dashboards, reports, and application functionality.
Meet with Operations and other SIS teams to understand manual processes, define requirements, and prioritize improvements with the CTO.
Build and deploy backend services, internal tools, and automations that improve operational efficiency and reduce repetitive manual work.
Develop and deploy production AI functionality using Anthropic Claude, including document retrieval, text extraction, document understanding, and multi-step workflows.
Implement and maintain Model Context Protocol (MCP) integrations connecting AI applications to approved tools and data sources, including appropriate permissions and human review.
Use managed model platforms such as Snowflake Cortex, Amazon Bedrock, Google Vertex AI, or comparable services to support practical business applications.
Own solutions from requirements and design through testing, deployment, documentation, user adoption, and ongoing support.
Monitor data pipelines and AI workflows, troubleshoot failures, evaluate output accuracy, and improve reliability, performance, and operating costs.
Implement access controls, logging, and appropriate safeguards for sensitive client and financial data in collaboration with the CTO and Compliance.
Participate in vendor and platform implementation meetings to learn existing systems and coordinate technical dependencies across internal teams and external partners.
Maintain clear technical documentation and user guidance, communicating priorities, progress, risks, and results to technical and nontechnical stakeholders.

Required Qualifications

Bachelor’s degree or higher in Computer Science or a related technical discipline.
3+ years of software engineering experience in backend, data-intensive, or workflow automation systems, including independent ability to build, deploy, and maintain production solutions.
Strong hands-on proficiency in Snowflake, SQL, and a backend programming language such as Python, including experience with data modeling, APIs, and data pipelines.
Hands-on experience integrating Claude into production business applications, including document retrieval, text extraction, and document understanding.
Practical experience implementing MCP integrations and working with a managed model platform such as Snowflake Cortex, Amazon Bedrock, Google Vertex AI, or a comparable service.
Demonstrated ownership of production LLM-powered functionality or agentic workflows, including output evaluation, failure handling, cost management, and appropriate human review.
Experience handling sensitive data in a regulated or high-trust environment, with strong analytical, troubleshooting, and data quality skills.
A track record of translating operational needs into practical, maintainable tools, with strong communication, documentation, collaboration, and prioritization skills.

Technologies

Snowflake
SQL
Python
Anthropic Claude
Model Context Protocol (MCP)
Snowflake Cortex
Amazon Bedrock
Google Vertex AI
Schwab
Orion
Black Diamond

Benefits

100% employer-covered medical benefits and an HRA account
Dental & vision plans
PTO plus 10 NYSE company holidays per year
401K with a company match program
Free onsite parking
Company-provided laptop and required technology
Access to an on-site gym (free of charge)
Weekly car wash available at an additional cost

Location, Hours, and Classification

Location: Fort Lauderdale HQ | On-site
Work style: Full-time onsite; remote candidates are not being considered
Hours: Full-time
FLSA classification: Exempt
Department: Sound Income Strategies

Physical & Work Environment Requirements

Ability to work for extended periods at a desk using a computer
Ability to lift up to 10 pounds if/when necessary

Preferred Qualifications

Experience in financial services preferred but not required
Familiarity with RIA operations, custodian data, trading systems, or portfolio reporting platforms
Experience with cloud-based data aggregation platforms and vendor-supported application environments
Ability to contribute across the application stack when a business solution requires it

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13d ago

Analytics Engineer

Pacific Life Insurance Company Newport Beach, CA

Newport Beach, CA

13d ago

$103k - $126k/yr Full time Analytics Engineer Artificial Intelligence Azure DevOps

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Job Description

Pacific Life Insurance Company is hiring an Analytics Engineer to help turn enterprise data into trusted, reusable analytics products. This onsite role in Newport Beach, CA focuses on supporting reporting, machine learning, data science, and AI-powered business solutions through scalable, modern analytics engineering practices.

In this position, you will collaborate with both business and technical stakeholders to build and validate analytical models, strengthen data documentation and lineage, and contribute to Snowflake Cortex solutions and AI agents grounded in trusted enterprise data and business context.

What you will do

Develop and maintain modular SQL transformations and analytical data models using dbt and Snowflake, producing reusable datasets for reporting, analysis, data science, and AI use cases.
Partner with stakeholders to understand business processes and translate requirements into clear data definitions, business rules, metrics, and semantic models.
Document relationships and assumptions so data can be interpreted consistently across teams and use cases.
Build automated tests, validate business logic, investigate discrepancies, and maintain documentation and lineage to keep analytical data accurate, understandable, and reliable.
Support the development, testing, and evaluation of Snowflake Cortex solutions and AI agents using trusted enterprise data and business context.
Use Git, Azure DevOps (ADO), and CI/CD workflows to manage work, collaborate through pull requests, automate validation, and deploy controlled changes from development to production.
Apply approved tools such as Claude Code and GitHub Copilot to support development, testing, documentation, and workflow automation.
Review and validate AI-generated outputs while following engineering, privacy, and security standards.
Provide hands-on guidance, demonstrations, documentation, and knowledge transfer to help business partners adopt analytics products and use Snowflake Cortex.
Troubleshoot analytical models and workflows, improve query performance and efficiency, modernize manual processes, and contribute reusable patterns to the team’s engineering playbook.
Coordinate with data engineering, platform, governance, and technology partners to deliver solutions aligned with enterprise architecture, access controls, and operational standards, including AWS-based components where applicable.

What you bring

Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Mathematics, Engineering, or a related field, or equivalent practical experience.
Typically 2–5 years of professional experience in analytics engineering, data engineering, business intelligence development, or a related technical role.
Hands-on experience with dbt and Snowflake, including developing, testing, documenting, and maintaining analytical data models.
Strong SQL skills and practical understanding of relational and dimensional modeling, data transformation, business logic, and query optimization.
Experience with Git (branching, pull requests, code reviews), automated testing, and CI/CD.
Experience with Azure DevOps (ADO) or a comparable delivery platform.
Working knowledge of Python for scripting, automation, or data-related development.
Familiarity with AWS and cloud-based data environments; professional AWS experience preferred.
Ability to translate business questions into technical requirements and clearly explain technical concepts so stakeholders can use analytical solutions.
A detail-oriented approach to troubleshooting, validating results, documenting decisions, and following work through delivery.
Experience with Snowflake Cortex, AI agents, or generative AI solutions is preferred.
Familiarity with Claude Code, GitHub Copilot, or similar AI-assisted tools is a plus, including a willingness to learn and apply them responsibly.
Experience in insurance, financial services, or another regulated environment is preferred but not required.

Tools and technologies

dbt, Snowflake, Snowflake Cortex
AWS, Python
Git, Azure DevOps (ADO), CI/CD
Claude Code, GitHub Copilot

Compensation and benefits

Salary range: USD 103,140 to 126,060 per year.

Medical, Dental, Vision
Wellbeing Reimbursement Account
Paid Time Off
Holiday Schedules
Financial Planning Time Off
Paid Parental Leave
Adoption Assistance Program
401k savings plan with company match
Additional contribution regardless of participation

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