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.
Job DescriptionWhat 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.
- 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 InformationOur Perks and Benefits:
đŊī¸ Every day lunches! (headquarters):
- Vegetarian, vegan, gluten and sugar free options.
- Gourmet meals every Friday with our on-site chef!
âī¸ Flexible working options to help you strike the right balance.
đģ All the equipment you need to harness your talent (Macbook and accessories).
đ Snacks and beverages available everyday (headquarters).
đ After office events, football, tennis and game nights (headquarters).
âŊ Everyone is welcome to join our football league every Wednesday's and Friday's.
đą Challenge your teammates to a pool game and win the office's trophy!
đž Tennis courts available for friendly matches.
đŽ Not a sports person? Don't worry, we also have chess championships, game and music nights for you to join!
đ Learning opportunities:
- AWS Certifications (we are AWS Partners).
- Study plans, courses and other certifications.
- English Lessons.
- Learn from your teammates on our Tech Tuesdays!
đ§ Mentoring and Development opportunities to shape your career path.
đ Anniversary and birthday gifts.
đ Great location and even greater teammates!
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!
Skills Required
- 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 architectural patterns
- Proficiency in automation scripting (Python, Bash, or similar languages)
- English: Advanced (required for effective communication with global teams)
- 3+ years of experience in Data Engineering or related disciplines
- Excellent problem-solving skills and attention to detail
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 â 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 â 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 â 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.
Blend360 Insights
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.
