Data Engineer Analyst

Job Description

We’re looking for a skilled Data Engineer with strong experience in Snowflake and Python to help design and implement an endtoend data architecture for a leading enterprise clients 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 endtoend 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 wellmodeled data.

• Leverage tools like Fivetran and dbt (if available) to orchestrate ELT processes.

• Collaborate with crossfunctional teams to align on business goals and technical requirements.

• Contribute to documentation and continuously improve engineering and data quality processes.

• Qualifications

  Qualifications

  • 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 analyticsBI environments and how data supports decisionmaking.

  • 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, clientfacing environments.

  • Preferred Qualifications

    • Handson experience with dbt, Fivetran, or similar modern data stack tools.

    • Familiarity with CICD pipelines or infrastructureascode practices.

    • Experience in client services, consultancy, or agency settings.

    • Language Requirements

      You must have excellent written and verbal English communication skills.

      Additional Information

      Our Perks and Benefits:

      📚 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.
          • Companyprovided 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.