Data Engineering Jobs in Peru
There are 196 open Data Engineering jobs in Peru on freehire right now. 36 of them were posted recently. The skills employers ask for most often are sql, python and etl.
Most requested skills
- sql 65%
- python 60%
- etl 45%
- cloud 45%
- azure 42%
- databricks 35%
- aws 31%
- analytics 31%
How the work is done
- Remote 22 · 11%
- Hybrid 7 · 4%
Visa sponsorship offered in 10% of the 10 postings that state a position on it.
Seniority
- Senior 57
- Lead 12
- Junior 3
- Middle 3
- Principal 3
- Staff 2
Who is hiring
- 1000+ employees 19
- 501-1000 employees 18
- 51-200 employees 3
- 11-50 employees 1
- 201-500 employees 1
Data Engineer [Zeal]
Data Engineer at an AI-enabled software consultancy building, deploying, and monitoring performant data pipelines for Fortune 1000 clients using SQL, MPP platforms (Snowflake, Databricks, etc.), cloud services, and transformation tools.
Azure Data Engineer
Azure Data Engineer building ETL/ELT pipelines and scalable data solutions using Azure Data Factory, Databricks, SQL, and Data Lake Storage, with cloud migration responsibilities.
Data Engineer, AI & Analytics
Build and maintain AI-driven data pipelines and analytics infrastructure to support machine learning models and business insights.
Data Engineer, AI & Analytics
The Data Engineer will design and maintain core data pipelines, modeling, and data marts to support agency, client, and AI initiatives. The role involves working with marketing data across various platforms using AI-agentic workflows to build scalable, AI-ready data infrastructure.
Data Engineer Semisenior (GCP)
The Data Engineer will build and maintain ETL/ELT pipelines and data architectures within Google Cloud Platform for a retail and restaurant client. The role requires strong Python skills and experience with data modeling in hybrid cloud and on-premise environments.
Data Engineer
The Data Engineer will manage large data volumes in AWS cloud environments, build Power BI reports, and automate data flows between systems and CRMs like HubSpot.
Data Engineer - Azure
Builds and optimizes data pipelines on Azure/Data Lake using PySpark/Scala for large-scale batch processing, ensuring cost-efficient distributed workflows and production deployments with DevSecOps.
Data Engineer Interoperabilidad - Sector Salud
Builds and optimizes data pipelines to transform relational healthcare data (patients, diagnoses) into FHIR-compliant JSON via ETL/ELT processes in GCP, ensuring scalability and compliance with clinical standards.
Data Engineer (Streaming & Microservices)
Data Engineer designing and operating high-performance streaming and microservices architectures on AWS, primarily using Apache Kafka/MSK, Java/Spring Boot, and CI/CD pipelines.
Data Engineer Semi Senior
Builds and maintains Azure-based data pipelines, ETL/ELT workflows, and data models for analytics, ensuring high-quality data via validation and documentation.
Data Engineer
Senior Data Engineer builds and maintains cloud-based data pipelines, ETL processes, and BI solutions using Azure, Databricks, and programming languages like Java/.Net to transform raw data into actionable insights for clients across industries.
Data Platform Engineer (102-08SENG-01)
Migrate a large Azure Data Factory estate to Databricks workflows on AWS, rewriting pipelines as reusable templates and tuning PySpark transformations for production data volumes.
DATA ENGINEER & SAP ANALYTICS
Design and maintain the company's analytical architecture and data pipelines, integrating data from SAP Business One, Oracle NetSuite, and other sources to ensure data quality and consistency for business intelligence tools like Power BI.
Data engineer
A Data Engineer (Junior or Semi Senior) designs and develops data pipelines, integrates internal/external data sources, ensures data quality and availability, optimizes ETL processes, and documents datasets, using AWS (Glue, S3, Redshift, etc.), SQL, Python, PySpark, Spark, and Git.
Azure Data Engineer
Azure Data Engineer role focusing on ETL processes using Azure DataFactory, Databricks, and Spark with Python/Scala, plus Oracle development and data warehouse/datalake projects.
Senior Data Engineer
Designs and maintains a Snowflake-based analytics warehouse for grid-operator dashboards, using Python, dbt, and orchestration tools like Airflow/Dagster. Focuses on data pipeline reliability, testing, and documentation for energy/climate analytics.
Risk Data Engineer | AWS | SQL | Feature Engineering
Risk Data Engineer at Oka (Hiraoka's fintech) in Peru, building credit decision engines, real-time data architectures on AWS, and risk features using SQL and Python.
Data Engineer Junior (GCP)
Builds and maintains GCP-based data pipelines (ETL/ELT) for a restaurant/retail client, focusing on Lakehouse/Data Warehouse architectures and automation in hybrid on-prem/cloud environments.