freehire launches on Product Hunt on 26 August.

Follow →

Senior Data Engineer

Summary

Design and maintain Snowflake-based data pipelines and governance solutions, ensuring privacy, quality, and compliance while collaborating on scalable data architecture.

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. 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. For more information, visit www.blend360.com.

We are seeking a Senior Data Engineer to contribute to our next level of growth and expansion.

Job Description

  • Develop and implement Snowflake‑based governance solutions that ensure data quality, security, and compliance across enterprise platforms.
  • Build automated privacy processes to streamline data protection workflows and reduce manual interventions.
  • Support data cleanup initiatives to maintain data integrity and optimize warehouse performance.
  • Implement data masking and obfuscation techniques to safeguard sensitive information.
  • Assist with JSON field privacy remediation to ensure compliance with data protection standards.
  • Collaborate with cross‑functional teams to design scalable data architecture and pipeline solutions.

Qualifications

  • Advanced proficiency in Snowflake SQL and data warehousing concepts.
  • Strong experience with ETL/ELT frameworks and pipeline development.
  • Demonstrated expertise in data privacy implementation and governance.
  • Hands‑on experience processing and manipulating JSON data structures.
  • Solid understanding of cloud data platforms and their architectural patterns.
  • Proficiency in automation scripting (Python, Bash, or similar languages).
  • Excellent problem‑solving skills and attention to detail.

Language Requirements

English: Advanced (required for effective communication with global teams).

Experience

3+ years of experience in Data Engineering or related disciplines such as data governance, data architecture, or analytics engineering, with hands‑on expertise in Snowflake and privacy‑focused data solutions.

Benefits & Perks

  • Certifications in AWS, 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.
  • Travel opportunities to attend industry conferences.
  • Career development plans and mentorship programs.
  • 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.

Additional Information

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.

See also