Job Description
We're hiring on behalf of a Haystack partner! The Role Design, build, and maintain data infrastructure and pipelines to support the team's analytical products and models. Partner with data scientists, business intelligence analysts, and stakeholders to translate analytical requirements into scalable data architectures. Ensure data is accessible, trusted, and consumable, driving automation and building reusable frameworks. Develop tools and programming to cleanse, organize, and transform data leveraging AI, ML, and big data techniques. Operationalize data science models by building the infrastructure for deployment, monitoring, and refresh schedules. Design and maintain semantic layers, context layers, and metadata structures for AI-powered workflows and self-service data access. What You'll Need Bachelor's degree in a related field with 4+ years of experience, or equivalent combination of education and experience. Strong Python programming skills with libraries like Pandas and PySpark, and proficiency in SQL. Proven experience designing and building data pipelines and architectures in cloud environments (Snowflake, AWS - S3, Lambda, EC2). Experience with ETL/ELT processes, data modeling, data warehousing concepts, and big data technologies. Familiarity with data orchestration tools (e.g., Apache Airflow, dbt) and CI/CD pipelines. Hands-on experience with GenAI tools and workflows (e.g., retrieval-augmented generation, prompt engineering). What's On Offer Competitive annual salary of $101,500 - $169,100. Access to modern cloud-native platforms (Snowflake, AWS), GenAI tooling, and rich automotive data sets. Opportunity to collaborate with a diverse group of researchers, engineers, and industry experts. Flexible paid time off policies, including vacation, holidays, and wellness leave. Apply via Haystack today!