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 an Analytics Engineer to contribute to our next level of growth and expansion.
Job DescriptionWhat is this position about?
- Implement the curated data model layer in dbt across 18 data domains, working closely with the Onshore Analytics Engineering Lead.
- Design and build dbt models across the full layered architecture: staging, intermediate, and mart layers.
- Implement comprehensive dbt testing strategies, including unique, not_null, accepted_values, relationships, and custom tests to ensure data quality and reliability.
- Develop and optimize incremental models to handle high-volume domains processing billions of events efficiently.
- Generate and maintain thorough project documentation, including column descriptions and lineage graphs, to support transparency and team collaboration.
- Advanced proficiency in dbt, including model development, testing frameworks, macros, and incremental strategies.
- Expert-level SQL skills, with strong ability to write performant, maintainable queries across large datasets.
- Solid understanding of data modeling principles, including dimensional modeling and layered architecture best practices.
- Hands-on experience with AWS data services, particularly Athena and Redshift Serverless.
- Working knowledge of Python for data engineering tasks and pipeline support.
- Ability to work cross-functionally across multiple data domains and communicate technical concepts clearly to stakeholders.
What about languages?
English: Advanced (required for effective communication with global teams).
How much experience must I have?
3+ years of experience in Analytics Engineering or Data Modeling roles, with hands-on expertise building layered dbt pipelines and working with cloud-based analytical data platforms.
Additional InformationOur 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!
Skills Required
- Advanced proficiency in dbt including model development and testing frameworks
- Expert-level SQL skills with maintainable queries across large datasets
- Understanding of data modeling principles and layered architecture best practices
- Hands-on experience with AWS data services, particularly Athena and Redshift Serverless
- Working knowledge of Python for data engineering tasks
- 3+ years of experience in Analytics Engineering or Data Modeling roles
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.
-
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.
-
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.
-
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.
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.
