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
Job DescriptionWe’re looking for a Senior 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 implement Snowflake-based data governance solutions to support secure and scalable data usage.
- Build and maintain automated data privacy processes, including detection, classification, and remediation workflows.
- Execute PII discovery processes, including confidence scoring and validation of sensitive data identification.
- Implement data masking and obfuscation techniques, including agent-based approaches.
- Support and execute data cleanup initiatives across multiple datasets and platforms.
- Assist with JSON field privacy remediation, ensuring proper handling of semi-structured sensitive data.
- Design, build, and maintain ETL/ELT pipelines to support governance and privacy use cases.
- Work with AWS 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.
Qualifications
What are we looking for?
- 4+ years of experience in Data Engineering with a strong hands-on focus.
- Strong experience with Snowflake and SQL (Must).
- Proven experience in data engineering, ETL/ELT pipelines, and cloud data platforms.
- Hands-on experience with PII discovery and classification, including confidence scoring (Must).
- Experience implementing data masking solutions using agents or automated frameworks (Must).
- Strong experience with JSON data processing and handling semi-structured data.
- Experience with AWS services, including S3, Glue, Lambda, and data pipeline orchestration (Must).
- Experience developing automation scripts (Python or similar).
- Strong understanding of data privacy implementation and best practices.
- Ability to work as a hands-on executor and independently drive solutions end-to-end.
Nice to have
- Background in Data Governance frameworks and best practices.
- Familiarity with CoCo 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.
Skills Required
- 4+ years of experience in Data Engineering
- Strong experience with Snowflake and SQL
- Proven experience in data engineering, ETL/ELT pipelines, and cloud data platforms
- Hands-on experience with PII discovery and classification, including confidence scoring
- Experience implementing data masking solutions using agents or automated frameworks
- Strong experience with JSON data processing and handling semi-structured data
- Experience with AWS services including S3, Glue, Lambda, and data pipeline orchestration
- Experience developing automation scripts (Python or similar)
- Strong understanding of data privacy implementation and best practices
- Ability to work as a hands-on executor and independently drive solutions end-to-end
- Background in Data Governance frameworks and best practices
- Familiarity with CoCo and Cortex
- Experience working in regulated environments or handling sensitive data
Blend360 Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Blend360 and has not been reviewed or approved by Blend360.
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Fair & Transparent Compensation — Pay is considered fair-to-good by many, and public salary postings for common data roles indicate competitive packages in numerous markets. Feedback suggests overall company sentiment aligns with acceptable compensation relative to peers in consulting and analytics.
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Flexible Benefits — Flexible and remote/hybrid work arrangements are consistently highlighted in official materials and role descriptions. Feedback suggests flexibility is a meaningful part of the total rewards experience.
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Retirement Support — A 401(k) with company match is part of the core package. Feedback suggests retirement offerings are standard and contribute to a complete benefits set.
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What We Do
Our Vision is to build a company of world-class people that helps our clients optimize business performance through data, technology and analytics. Blend360 has two divisions: Data Science Solutions: We work at the intersection of data, technology and analytics. Talent Solutions: We live and breathe the digital and talent marketplace.
