Job summary We're looking for a skilled Data Engineer with strong experience in Snowflake and Python to help design and implement an end-to-end data architecture for a leading enterprise client's marketing team. This role is part of a strategic initiative to enable robust analytics and insight generation for marketing and martech use cases. Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. For more information, visit We are seeking a to contribute to our next level of growth and expansion. Job Description Job Description We're looking for a skilled Data Engineer with strong experience in Snowflake and Python to help design and implement an end-to-end data architecture for a leading enterprise client's marketing team. This role is part of a strategic initiative to enable robust analytics and insight generation for marketing and martech use cases. In this role, you'll work closely with both Blend's internal teams and client stakeholders to build and optimize data pipelines, support data modeling efforts, and ensure reliable data flows for reporting, analytics, and operational workflows. This position is ideal for engineers with a strong data foundation who are looking to apply their skills in analytics, BI, and marketing tech environments, while gaining exposure to modern data tools and scalable architectures. You will: - Design and implement an end-to-end data solution architecture tailored to marketing analytics and martech needs. - Build, maintain, and optimize data pipelines and transformations using Python and Snowflake. - Support analytics and BI teams by ensuring clean, reliable, and well-modeled data. - Leverage tools like Fivetran and dbt (if available) to orchestrate ELT processes. - Collaborate with cross-functional teams to align on business goals and technical requirements. - Contribute to documentation and continuously improve engineering and data quality processes. 2–4 years of experience in data engineering. Proficiency in Python for data workflows and pipeline development. Strong experience working with Snowflake or similar cloud data platforms. Experience (or familiarity) with marketing data, martech tools, or marketing analytics use cases. Understanding of analytics/BI environments and how data supports decision-making. Exposure to tools like dbt and Fivetran is a plus. Familiarity with cloud platforms like AWS, GCP, or Azure. Strong communication and documentation skills. Ability to thrive in collaborative, client-facing environments. Hands-on experience with dbt, Fivetran, or similar modern data stack tools. Familiarity with CI/CD pipelines or infrastructure-as-code practices. Experience in client services, consultancy, or agency settings. You must have excellent written and verbal English communication skills. Learning Opportunities: - Certifications in AWS (we are AWS Partners), Databricks, and Snowflake. - Access to AI learning paths to stay up to date with the latest technologies. - Study plans, courses, and additional certifications tailored to your role. - Access to Udemy Business, offering thousands of courses to boost your technical and soft skills. - English lessons to support your professional communication. Mentoring and Development: - Career development plans and mentorship programs to help shape your path. Celebrations & Support: - Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones. - Company-provided equipment. Flexible working options to help you strike the right balance. Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters. Descripción del trabajo Lorem ipsum dolor sit amet , consectetur adipiscing elit. Nullam tempor vestibulum ex, eget consequat quam pellentesque vel. Etiam congue sed elit nec elementum. Morbi diam metus, rutrum id eleifend ac, porta in lectus. Sed scelerisque a augue et ornare. Donec lacinia nisi nec odio ultricies imperdiet. Morbi a dolor dignissim, tristique enim et, semper lacus. Morbi laoreet sollicitudin justo eget eleifend. Donec felis augue, accumsan in dapibus a, mattis sed ligula. Vestibulum at aliquet erat. Curabitur rhoncus urna vitae quam suscipit , at pulvinar turpis lacinia. Mauris magna sem, dignissim finibus fermentum ac, placerat at ex. Pellentesque aliquet, lorem pulvinar mollis ornare, orci turpis fermentum urna, non ullamcorper ligula enim a ante. Duis dolor est, consectetur ut sapien lacinia, tempor condimentum purus. Obtén acceso completo Accede a todos los puestos de alto nivel y consigue el trabajo de tus sueños. Inscríbete ahora