Senior Data Engineer

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. 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 Senior Data Engineer to contribute to our next level of growth and expansion.

Job Description

What is this position about?

• 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 intervention.
• 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.

What about languages?

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

How much experience must I have?

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.

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.

‍ Travel opportunities to attend industry conferences and meet clients.

‍ 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.

So what are the next steps?
Our team is eager to learn about you! Send us your resume or LinkedIn profile below and we'll explore working together!