Data Engineer Analyst

Blend; Tandil; Remote; ARS 1,200,000 - 2,000,000; Full time

Benefits offered by this job

AWS Certifications

Databricks

Snowflake

AI learning paths

Udemy access

English lessons

Travel opportunities

Mentoring

Flexible work

Company equipment

Job summary

Blend, a premier AI services provider, is seeking a Data Engineer Analyst to design and maintain scalable data pipelines and lake architectures on AWS. You will work with Spark, PySpark, Iceberg, S3, Glue, Athena, Lambda, and IAM to ensure reliable data processing and secure access for global teams.

You will collaborate with data analysts and data scientists, troubleshoot data quality issues, and contribute to documentation and best practices across the team.

Qualifications

• 2+ years of experience in Data Engineering or related roles, with hands-on work building and maintaining cloud-based data pipelines on AWS.
• Advanced English communication for global teams.
• Strong knowledge of data lake architectures and scalable data processing.

Responsibilities

• Design, build, and maintain scalable data pipelines and ingestion frameworks for batch, streaming, and CDC patterns.
• Develop and optimize data processing workflows using Apache Spark and PySpark for large datasets.
• Implement and manage data lake architectures on AWS using S3 and Iceberg, with schema evolution and time travel.
• Work with AWS services including Glue, Athena, and Lambda for ETL and serverless querying.
• Manage data access controls using AWS IAM ensuring least-privilege access.
• Collaborate with analysts, data scientists, and engineers to deliver production-ready solutions.
• Monitor pipeline health and troubleshoot data quality issues to ensure reliability.
• Contribute to documentation of data flows and engineering standards.

Skills

AWS services

Apache Spark

PySpark

Iceberg

Data lake architecture

SQL

Data modeling

Infrastructure as Code

Airflow

dbt

Lambda

Step Functions

Tools

Airflow

dbt

Step Functions

Lambda

Job description

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 Description

What 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.

Qualifications

• 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 Information

Our Perks and Benefits:

Learning Opportunities:

• Certifications in AWS (we are AWS Partners), Databricks, and Snowflake.
• Access to AI learning paths to stay up to date with the latest technologies.
• Study plans, courses, and additional certifications tailored to your role.
• Access to Udemy Business, offering thousands of courses to boost your technical and soft skills.
• English lessons to support your professional communication.

Travel opportunities to attend industry conferences and meet clients.

Mentoring and Development:

• Career development plans and mentorship programs to help shape your path.

Celebrations & Support:

• Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones.
• Company‑provided equipment.

Flexible working options to help you strike the right balance.

Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.