Data Engineer Analyst

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. We are seeking a Data Engineer Analyst to contribute to our next level of growth and expansion. Join our team and help fuel bold visions by aligning human expertise with artificial intelligence.

This role involves designing, building, and maintaining scalable data pipelines and ingestion frameworks. You will work with cutting-edge AWS services and Apache Spark to process large datasets and deliver production-ready solutions. If you are passionate about data and looking for a dynamic role, apply now!

Company Overview

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.

Quick Details

• Salary Range: Not Specified
• Job Type: Full-time
• Experience: 2+ years of experience in Data Engineering or related roles
• Qualifications: Advanced hands-on experience with AWS services, Apache Spark/PySpark, SQL, and data modeling

Key Responsibilities

• Design, build, and maintain scalable data pipelines and ingestion frameworks supporting batch processing, streaming, and CDC patterns.
• Develop and optimize data processing workflows using Apache Spark and PySpark.
• Implement and manage data lake architectures on AWS, leveraging S3 and Apache Iceberg.
• Work with AWS-native services including Glue, Athena, and Lambda.
• Manage data access controls and security configurations using AWS IAM.
• Collaborate with data analysts, data scientists, and platform engineers to deliver production-ready solutions.
• Monitor pipeline health, troubleshoot data quality issues, and implement improvements.
• Contribute to the documentation of data flows, architecture decisions, and engineering standards.

Requirements

• Advanced hands-on experience with AWS services (Glue, S3, Athena, IAM).
• Proficiency with Apache Spark / PySpark for data processing.
• Experience with data lake architectures, ideally with knowledge of Apache Iceberg.
• 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.
• English: Advanced (required for effective communication with global teams).

Benefits

• Every day lunches (headquarters) with vegetarian, vegan, gluten and sugar-free options, and gourmet meals every Friday.
• Flexible working options.
• All the equipment you need (Macbook and accessories).
• Snacks and beverages available everyday (headquarters).
• After office events, football, tennis and game nights (headquarters).
• Learning opportunities including AWS Certifications, study plans, courses, and English Lessons.
• Mentoring and Development opportunities.
• Anniversary and birthday gifts.
• Great location and even greater teammates.