Snowflake Data Engineer

Lead and grow an engineering team.

Develop a culture of ownership within the team.

Connect top developers with opportunities.

Lead the design and implementation of scalable backend services.

Build and maintain end-to-end data solutions.

Collaborate with global teams.

Design thermal control assemblies for Raptor engine.

Maintain component temperatures across a wide range of fluids.

Direct technical work for engineers.

Lead a culture of collaboration and innovation.

Provide customer support for payment issues.

Collaborate with payment providers and internal teams.

Define the identity security roadmap.

Collaborate with multiple departments for feature launches.

Lead mobile development teams and ensure successful delivery.

Champion best coding practices and methodologies.

Provide multi-channel customer support.

Maintain high standards and efficiency.

Develop and support MongoDB Python drivers.

Write and maintain open source specifications.

Lead the pricing strategy for healthcare portfolios.

Utilize financial modeling for pricing decisions.

Engage in collaborative software development with AI insights.

Own and manage end-to-end software features.

Deliver analytics solutions at scale.

Manage data access and presentation.

Support client projects with research and deliverables.

Develop media lists and assist in pitching.

Engage qualified leads by phone.

Convert leads using closing techniques.

Deliver features in collaboration with Product Managers and Designers.

Support both frontend and backend development.

Manage CMS EDGE server operations.

Oversee data submissions and compliance.

Provide luxury travel booking services to clients.

Research and manage travel itineraries.

Lead HV/EHV substation projects.

Collaborate with global engineering teams.

Implement legal and compliance procedures for research.

Monitor and review research outputs.

Design evaluation frameworks for AI output quality.

Improve production prompts through iterative experiments.

Value prospective deals for acquisitions.

Estimate market values to guide decisions.

Own and manage the Framer site.

Produce polished and production-ready code.

Own the vision and roadmap for CSM applications.

Translate business needs into clear user stories.

Enhance collaboration with product teams.

Optimize application performance.

Build and ship core product experiences.

Develop production-quality code across tech stacks.

Develop cloud data processing solutions.

Collaborate with teams on Microsoft technologies.

Provide full-time research opportunities in economics.

Offer mentorship from Anthropic researchers.

Enhance automated build systems using Unreal Engine 5.

Collaborate with developers to address build issues.

Find new audio data sources.

Enhance ingestion infrastructure using GCP.

Support software deployments through problem-solving.

Act as a subject matter expert for clients.

Define product priorities based on stakeholder feedback.

Serve as the voice of the customer in product development.

Design and implement data pipelines.

Build secure data warehousing solutions.

Lead technical implementation projects.

Design scalable solutions for clients.

Collaborate with healthcare clients.

Translate data challenges into insights.

Provide strategic insights on customer health and churn.

Conduct GTM lifecycle analysis and forecast key KPIs.

Bridge data and business needs.

Own end-to-end data initiatives.

Bridge data and business needs.

Translate requirements into scalable data models.

Lead the GTM Systems & Tools within Revenue Operations.

Manage the revenue tech stack for Marketing, Sales, and Customer Success.

Design scalable data pipelines for CS.

Develop data models for reporting and ML.

Atlassian is hiring a Data Engineer Intern for Summer 2026.

The position is remote and available to candidates in Australia.

Build and maintain end-to-end data solutions.

Collaborate with global teams.

Develop backend and full-stack code for Patreon's core product.

Build user-facing systems for security features like MFA and ID verification.

Develop cloud data processing solutions.

Collaborate with teams on Microsoft technologies.

Define and drive EA strategy across core applications.

Lead the Architecture Review Board and enforce TOGAF standards.

Translate business requests into analysis.

Utilize AI tools for enhanced analytics.

Drive adoption of TiDB solutions.

Collaborate with sales teams.

Design and implement data products for analytics.

Transform raw data into actionable insights.

Build and ship full-stack applications.

Design and implement AI agents.

Design and implement data pipelines.

Build secure data warehousing solutions.