Snowflake Cortex

Snowflake Cortex Developer Jobs

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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

Deloitte offers the opportunity to design and deliver enterprise data solutions on the Snowflake Platform, helping clients strengthen how they build, govern, and operationalize data for analytics and AI outcomes. This onsite role in Rosslyn, VA combines hands-on engineering ownership with stakeholder advisory across data engineering, data science, and business intelligence.

Compensation for this position is USD 97,700 - 162,800 per year. The wage range reflects a range of factors used in compensation decisions.

What you’ll do

Lead the architecture and implementation of advanced solutions on Snowflake, from large-scale data pipelines to production-ready AI/ML models.
Advise senior stakeholders on a holistic data strategy, covering data engineering best practices, MLOps, BI, and data governance on Snowflake.
Oversee the design and development of robust data pipelines, analytics-ready data models, and scalable machine learning applications.
Drive technical discussions with business and functional analysts to translate complex requirements into comprehensive solution designs based on proven project success.

Required qualifications

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Legally authorized to work in the United States without the need for 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+ year of experience with Snowflake, including hands-on experience with one of: Cortex AI, Cortex LLM Functions, Cortex Agents, or Arctic Embed.
1+ year of experience in 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 work, clients, and the industries or sectors served.

Preferred qualifications

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 including feature engineering, experimentation, or model evaluation.
Public sector experience preferred.
Active public sector security clearance preferred.

Tools and platforms

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

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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 is a hands-on backend role focused on data engineering and applied AI automation, reporting to the Chief Technology Officer and partnering closely with Operations and internal teams.

You will build and maintain the systems that help ensure operational data is complete and usable, then extend those capabilities with production AI functionality. The work is based onsite in Fort Lauderdale, FL, with an expectation of independent ownership across requirements, delivery, and ongoing support.

What You’ll Do

Develop and maintain backend data pipelines, integrations, and data models in Snowflake to support accurate, accessible operational data.
Work within an existing data aggregation architecture, integrating and reconciling information from custodians and platforms including Schwab, Orion, and Black Diamond, plus supplemental sources.
Analyze source data, investigate discrepancies, and implement validation, reconciliation, and quality checks so reporting and downstream applications use complete, accurate information.
Translate complex datasets into business outputs and collaborate with internal stakeholders and front-end contributors to validate dashboards, reports, and application functionality.
Meet directly 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 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, with 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 end to end, 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 safeguards for sensitive client and financial data in collaboration with the CTO and Compliance.
Participate in vendor and platform implementation meetings, 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.

Requirements

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, with demonstrated ability to independently 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 HRA account
Dental & vision plans
PTO + 10 NYSE company holidays per year
401K with company match program
Free onsite parking
Company-provided laptop and required technology
Access to an on-site gym (free of charge)
Weekly car wash (at an additional cost)

Location, Schedule, and Classification

Fort Lauderdale HQ | On-site, full-time
FLSA classification: Exempt
Department: Sound Income Strategies

Physical & Work Environment Requirements

This is a full-time onsite position based in Fort Lauderdale, FL. Remote candidates are not being considered.
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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