Sr Data Engineer

Blendis a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world‑class people and data‑driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit We are seeking a to contribute to our next level of growth and expansion. Job Description We’re looking for a skilled Senior DataEngineer with strong experience inSnowflake andPython to help design and implement an end‑to‑end data architecture for a leading enterprise client'smarketing 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 tobuild 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 inanalytics, BI, and marketing tech environments , while gaining exposure to modern data tools and scalable architectures. You will: Design and implement an end‑to‑enddata solution architecture tailored to marketing analytics and martech needs. Build, maintain, and optimizedata pipelines and transformations using Python and Snowflake. Supportanalytics and BI teams by ensuring clean, reliable, and well‑modeled data. Leverage tools likeFivetran anddbt (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. Qualifications +5 years of experience indata engineering . Proficiency inPython for data workflows and pipeline development. Strong experience working withSnowflake or similar cloud data platforms. Experience (or familiarity) withmarketing data ,martech tools , ormarketing analytics use cases. Understanding ofanalytics/BI environments and how data supports decision-making. Exposure to tools likedbt andFivetran 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. Preferred Qualifications Hands‑on experience withdbt ,Fivetran , or similar modern data stack tools. Familiarity withCI/CD pipelines or infrastructure‑as‑code practices. Experience inclient services , consultancy, or agency settings. Language Requirements You must have excellent written and verbalEnglish communication skills. Additional Information Our Perks and Benefits: 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. #J-18808-Ljbffr