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 www.blend360.com  

We’re looking for aSenior Data Engineer to act as a key executor in the implementation of data governance and privacy solutions for a high-impact enterprise initiative. This role combines strong hands-on data engineering expertise with a focus on data privacy, governance, and automation.

You will play a critical role in developing and implementing scalable solutions for sensitive data handling, ensuring compliance, and improving data quality across modern cloud data platforms.

What will you be doing?

• Develop and implementSnowflake-based data governance solutions to support secure and scalable data usage.
• Build and maintainautomated data privacy processes, including detection, classification, and remediation workflows.
• ExecutePII discovery processes, including confidence scoring and validation of sensitive data identification.
• Implementdata masking and obfuscation techniques, including agent-based approaches.
• Support and executedata cleanup initiatives across multiple datasets and platforms.
• Assist withJSON field privacy remediation, ensuring proper handling of semi-structured sensitive data.
• Design, build, and maintainETL/ELT pipelines to support governance and privacy use cases.
• Work withAWS services (S3, Glue, Lambda, AgentCore) to orchestrate and automate data workflows.
• Develop automation scripts to improve efficiency, scalability, and repeatability of data processes.
• Collaborate with cross-functional teams to align data governance and privacy solutions with business and compliance requirements.
• Ensure data quality, reliability, and performance across all implemented solutions.

What are we looking for?

• 4+ years of experience in Data Engineering with a strong hands-on focus.
• Strong experience withSnowflake and SQL (Must).
• Proven experience indata engineering, ETL/ELT pipelines, and cloud data platforms.
• Hands-on experience withPII discovery and classification, including confidence scoring (Must).
• Experience implementingdata masking solutions using agents or automated frameworks (Must).
• Strong experience withJSON data processing and handling semi-structured data.
• Experience withAWS services, including S3, Glue, Lambda, and data pipeline orchestration (Must).
• Experience developingautomation scripts (Python or similar).
• Strong understanding ofdata privacy implementation and best practices.
• Ability to work as a hands-on executor and independently drive solutions end-to-end.

Nice to have

• Background inData Governance frameworks and best practices.
• Familiarity withCoCo and Cortex.
• Experience working in regulated environments or handling sensitive data.

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.