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Urgent! Sr Data Engineer Job Opening In WorkFromHome – Now Hiring Blend



Job description

Overview

Join to apply for the Senior Data Engineer role at Blend.

Location: Bogota, D.C., Capital District, Colombia.

Blend is seeking a Senior Data Engineer with strong experience in Snowflake and Python to design and implement an end-to-end data architecture for a leading enterprise client's marketing team.

This role supports robust analytics and insight generation for marketing and martech use cases.

You will work with 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 want to apply their skills in analytics, BI, and marketing tech environments, while gaining exposure to modern data tools and scalable architectures.

Responsibilities

  • 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.

Qualifications

  • +5 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.

Preferred Qualifications

  • 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.

Language Requirements

You must have excellent written and verbal English communication skills.

Benefits & Learning

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.

  • 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.

Seniority level

  • Mid-Senior level

Employment type

  • Full-time

Job function

  • Marketing

Industries

  • Professional Services

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Required Skill Profession

Bases De Datos, Analítica Y Bi



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