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We're hiring on behalf of a Haystack partner!
The Role
• Design, build, and maintain scalable data infrastructure and pipelines using Snowflake, AWS, and modern orchestration tools.
• Develop and implement robust ETL/ELT workflows for structured and unstructured data.
• Ensure data integrity and pipeline reliability through automated testing and validation frameworks.
• Operationalize data science models by building deployment, monitoring, and refresh infrastructure.
• Collaborate with data scientists and stakeholders to translate analytical requirements into scalable data architectures.
• Design and maintain semantic and context layers to enable AI and self-service analytics.
What You'll Need
• Bachelor's degree in a related field with 4+ years of experience, or equivalent combination.
• Strong Python programming and SQL proficiency, with experience in data transformations and pipeline logic.
• Proven experience designing and building data pipelines in cloud environments, including Snowflake and AWS.
• Experience with ETL/ELT processes, data modeling, and big data technologies.
• Familiarity with data orchestration tools (e.g., Apache Airflow) and CI/CD pipelines.
• Hands-on experience with GenAI tools and workflows, including prompt engineering.
What's On Offer
• Competitive annual salary ($101,500 - $169,100) plus potential for additional compensation.
• Opportunity to work with modern cloud-native platforms (Snowflake, AWS) and cutting-edge GenAI tooling.
• Collaborative culture that values curiosity, mentorship, and measurable impact.
• Comprehensive benefits package including flexible paid time off and wellness programs.
Apply via Haystack today!
