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 are looking for an experienced Senior Data Engineer with strong expertise in Python, Matillion, and Snowflake to design, develop, and optimize scalable data pipelines and cloud-based data warehouse solutions. The ideal candidate should have hands-on experience in ETL/ELT development, data modeling, and cloud data engineering while working in an agile environment.
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines using Matillion.
- Build and optimize data warehouse solutions on Snowflake.
- Develop robust data processing frameworks and automation scripts using Python.
- Create and maintain data models, transformations, and workflows to support business analytics.
- Optimize Snowflake performance, including query tuning, clustering, and warehouse management.
- Integrate data from multiple structured and unstructured sources.
- Collaborate with business stakeholders, analysts, and cross-functional engineering teams to deliver high-quality data solutions.
- Implement data quality, validation, monitoring, and error-handling mechanisms.
- Participate in code reviews, testing, deployment, and production support activities.
- Follow best practices for security, governance, and documentation.
- 4 to 8 years of experience in Data Engineering.
- Strong hands-on experience with Python, Matillion, and Snowflake.
- Experience building ETL/ELT pipelines and data integration solutions.
- Strong SQL skills with experience in query optimization.
- Good understanding of data warehousing concepts and dimensional data modeling.
- Experience working with cloud platforms such as AWS, Azure, or GCP.
- Knowledge of Git, CI/CD pipelines, and Agile methodologies.
- Strong analytical, troubleshooting, and problem-solving s
- Experience with orchestration tools such as Airflow.
- Exposure to DBT is an added advantage.
- Knowledge of REST APIs and data integration techniques.
- Familiarity with data governance and security best practices.
Skills Required
- 4 to 8 years of experience in Data Engineering
- Strong hands-on experience with Python
- Strong hands-on experience with Matillion
- Strong hands-on experience with Snowflake
- Experience building ETL/ELT pipelines and data integration solutions
- Strong SQL skills with experience in query optimization
- Good understanding of data warehousing concepts and dimensional data modeling
- Experience working with cloud platforms such as AWS, Azure, or GCP
- Knowledge of Git, CI/CD pipelines, and Agile methodologies
- Implement data quality, validation, monitoring, and error-handling mechanisms
- Participate in code reviews, testing, deployment, and production support activities
- Experience with orchestration tools such as Airflow
- Exposure to DBT
- Knowledge of REST APIs and data integration techniques
- Familiarity with data governance and security best practices
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.
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.
