Snowflake Data Engineer
Posted Today by Ohm Systems, Inc
Negotiable
Undetermined
Remote
Remote
Summary: The role of Lead Snowflake Data Application Engineer involves leading the development of a unified platform for Insights, Audience Building, and Measurement, leveraging large-scale data and AI. The position requires a senior full-stack engineer with expertise in Snowflake, Python, SQL, and various front-end technologies. The engineer will be responsible for architecting enterprise-grade systems, building data pipelines, and supporting audience modeling workflows. This is a long-term remote contract position aimed at a technically curious individual with a strong background in big data-driven web applications.
Key Responsibilities:
- Develop and maintain AI-powered chatbots, MCP integrations, and Slack/API-connected tools
- Lead the design and front-end development of the platform UI using React and Node.js (Next.js preferred)
- Architect enterprise-grade systems with clean dependencies on embedded/third-party SaaS services
- Design and build data pipelines, clean room configurations, and semantic layer definitions on Snowflake
- Support audience modeling workflows including model training, scoring, calibration, and attribute enrichment and audience distribution
- Build measurement frameworks, dashboards, and reporting pipelines to surface insights from large-scale datasets
- Fulfill custom data and analytics requests — segmentation, overlap analysis, behavioral profiling, and ad-hoc pulls
- Prototype and document R&D initiatives around privacy-preserving computation and AI agent orchestration
- Set engineering conventions, mentor teammates, and help guide technical decisions for the platform
- Build clean, documented code and manage work through Git/Bitbucket with JIRA-based branching conventions
Key Skills:
- BS or MS in Computer Science, Data Science, or Information Systems, with 6–8 years of related experience
- Proven experience architecting and shipping an enterprise-level application with a polished UI
- 5–6 years building big-data-driven web applications with Node.js, Next.js, and React
- Strong proficiency in SQL — comfortable writing complex queries, window functions, CTEs, and aggregations
- 3–6 years of Python programming — data manipulation, scripting, API calls, and basic OOP
- Exposure to at least one cloud data platform (Snowflake, BigQuery, or Redshift)
- At least 3 years of REST API and data pipeline experience
- Familiarity with SSO, authentication, and identity concepts (e.g., AWS Cognito)
- Ability to work independently, manage your own time, and communicate clearly in a fully remote environment
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Lead Snowflake Data Application Engineer
Location: Remote
Engagement Type: Long Term Contract
Work Mode: Remote
MUST HAVE SKILLS: Snowflake expertise, Python, SQL, REST, NodeJS , ReactJS and AI .
About the Role
We’re looking for a senior, technically curious full-stack engineer to lead development of the platform our team is building — a unified UI for Insights, Audience Building, and Measurement powered by large-scale data and AI.
Responsibilities
* Develop and maintain AI-powered chatbots, MCP integrations, and Slack/API-connected tools
* Lead the design and front-end development of our platform UI (Insights, Audience Building, Measurement) using React and Node.js (Next.js preferred)
* Architect enterprise-grade systems with clean dependencies on embedded/third-party SaaS services (e.g. Snowflake, Thoughtspot)
* Design and build data pipelines, clean room configurations, and semantic layer definitions on Snowflake
* Support audience modeling workflows including model training, scoring, calibration, and attribute enrichment and audience distribution
* Build measurement frameworks, dashboards, and reporting pipelines (e.g., ThoughtSpot embedded) to surface insights from large-scale datasets
* Fulfill custom data and analytics requests — segmentation, overlap analysis, behavioral profiling, and ad-hoc pulls
* Prototype and document R&D initiatives around privacy-preserving computation and AI agent orchestration
* Set engineering conventions, mentor teammates, and help guide technical decisions for the platform
* Build clean, documented code and manage work through Git/Bitbucket with JIRA-based branching conventions
Required Qualifications:
* BS or MS in Computer Science, Data Science, or Information Systems, with 6–8 years of related experience
* Proven experience architecting and shipping an enterprise-level application with a polished UI and dependencies on embedded/third-party SaaS services
* 5–6 years building big-data-driven web applications with Node.js, Next.js, and React
* Strong proficiency in SQL — comfortable writing complex queries, window functions, CTEs, and aggregations
* 3–6 years of Python programming — data manipulation, scripting, API calls, and basic OOP
* Exposure to at least one cloud data platform (Snowflake, BigQuery, or Redshift)
* At least 3 years of REST API and data pipeline experience
* Familiarity with SSO, authentication, and identity concepts (e.g., AWS Cognito)
* Ability to work independently, manage your own time, and communicate clearly in a fully remote environment
Preferred Qualifications:
* Experience building with GenAI coding and agentic developer tools (e.g., Amazon Kiro, Claude Code, Cursor, Copilot, or agent orchestration frameworks) — a big plus
* Hands-on experience with Snowflake Cortex, Snowpark, or Streamlit
* Familiarity with LLM APIs (Anthropic Claude, OpenAI) and prompt engineering patterns
* Exposure to ML classification models, feature engineering, Platt calibration, or model evaluation techniques
* Knowledge of data privacy concepts — data clean rooms, differential privacy, or privacy-enhancing technologies (PETs)
* Experience with Slack Bolt, AWS EC2, or deploying Python applications to cloud infrastructure
* Familiarity with MCP servers or AI agent orches…
Tech Stack You’ll Touch
Snowflake, Snowpark Python, Snowflake Cortex, Streamlit, Python, SQL, ThoughtSpot BI, Next.js, React, Node.js, AWS Cognito, Claude API, Model Context Protocol (MCP), Slack Bolt, AWS EC2, Bitbucket, JIRA,
plus modern GenAI coding tools.