Senior Data Engineer

About the company

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 www.blend360.com

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

Full 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 and requirements

• 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:

🏥 Health and Well-being:

• At-home medical assistance via EMI (or similar provider) through Asobursatil, available for all employees from AllStar to Analyst level.
• Private healthcare plans for Lead-level roles and above.

🎉 Celebrations and Recognitions:

• Christmas kit delivered to all employees.
• 1 day off for academic graduation.
• Family Day: 1 day off every semester (must be taken within the same semester).

💰 Financial Health and Savings (Work Together, Get Together Program):

• Savings incentive program via Asobursatil:

• Year 1: Blend contributes 50% of your monthly savings.

• Year 2: Blend contributes 100% of your monthly savings.

• Year 3+: Blend contributes 150% of your monthly savings.

• Savings can be withdrawn in July and December.

📚 Educational Loans and Subsidies:

• Forgivable education loans subject to committee approval and budget availability.
• Requirements: 1+ year at Blend, no disciplinary actions in the past 6 months, successful completion of prior training, and knowledge sharing within 6 months post-training.
• Retention-based forgiveness schedule applies after program completion.

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!

• 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.

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