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 Data Engineer Analyst to contribute to our next level of growth and expansion.
Job DescriptionWhat is this position about?
- Design, build, and maintain scalable data pipelines and ingestion frameworks supporting batch processing, streaming, and change data capture (CDC) patterns.
- Develop and optimize data processing workflows using Apache Spark and PySpark, ensuring reliable and performant transformation across large datasets.
- Implement and manage data lake architectures on AWS, leveraging S3 as the primary storage layer and Apache Iceberg for table format management, schema evolution, and time-travel capabilities.
- Work with AWS-native services including Glue for ETL orchestration, Athena for serverless querying, and Lambda for event-driven data processing.
- Manage data access controls and security configurations using AWS IAM, ensuring compliant and least-privilege access across the data platform.
- Collaborate with data analysts, data scientists, and platform engineers to understand data requirements and deliver production-ready solutions.
- Monitor pipeline health, troubleshoot data quality issues, and implement improvements to ensure data reliability and freshness.
- Contribute to the documentation of data flows, architecture decisions, and engineering standards within the team.
- Advanced hands-on experience with AWS services, including:
- AWS Glue
- Amazon S3
- Amazon Athena
- AWS IAM
- Apache Spark / PySpark for data processing.
- Data lake architectures, ideally with knowledge of Apache Iceberg.
- Data ingestion patterns, including batch processing, streaming, and CDC patterns
- Experience with SQL for data querying, validation, and exploratory analysis
- Solid understanding of data modeling and large-scale data processing
- Ability to work collaboratively in cross-functional teams and communicate technical concepts clearly to non-technical stakeholders.
- Experience with infrastructure-as-code or pipeline orchestration tools (e.g., Airflow, Step Functions, dbt) is a plus.
- Familiarity with AI-assisted development workflows and engineering productivity tools
What about languages?
English: Advanced (required for effective communication with global teams)
How much experience must I have?
2+ years of experience in Data Engineering or related roles, with hands-on work building and maintaining cloud-based data pipelines and lake architectures on AWS.
Additional InformationOur Perks and Benefits:
💰 Compensation & Financial Benefits:
- Christmas Bonus.
- Saving Fund.
- Food/grocery vouchers.
- Home Office allowance.
🏥 Health & Insurance:
- MetLife Life Insurance with funeral coverage.
- MetLife Medical Insurance including dental discounts and vision plan.
- Dependents optional with additional cost.
🗓️ Time Off & Holidays:
- Vacation days with annual increases based on tenure.
- Vacation premium.
- Official holidays by law.
- Holy week.
- Day of the Dead.
- Christmas Eve.
⚖️ Work-Life Balance:
- Flexible working options to help you strike the right balance.
📚 Learning Opportunities:
- Study plans, courses, and professional development opportunities.
- English lessons to support your professional communication.
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
- 2+ years of experience in data engineering or related roles
- Hands-on experience building and maintaining cloud-based data pipelines and data lake architectures on AWS
- Advanced hands-on experience with AWS Glue, Amazon S3, Amazon Athena, and AWS IAM
- Experience with Apache Spark and PySpark for data processing
- Knowledge of data lake architectures and preferably Apache Iceberg
- Experience with batch processing, streaming, and change data capture ingestion patterns
- Experience with SQL for querying, validation, and exploratory analysis
- Understanding of data modeling and large-scale data processing
- Ability to collaborate cross-functionally and communicate technical concepts to non-technical stakeholders
- Advanced English proficiency
- Experience with infrastructure-as-code or orchestration tools such as Airflow, Step Functions, or dbt
- Familiarity with AI-assisted development workflows and engineering productivity tools
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.
