Remote Data Engineer Jobs in Colombia (121)

Senior Data Engineer (SQL, dbt)

Design, develop, and maintain scalable data pipelines and ELT processes while managing infrastructure using Terraform. Collaborate with cross-functional teams to deliver integrated data and web application solutions.

Technical Lead/ Architect - Data Engineers

Lead the design and implementation of the organization's data governance framework and oversee metadata management, data quality, and security strategies. Define engineering standards for data engineering, MLOps, and AI-powered development practices while leading infrastructure assessments and modernization initiatives.

188. Senior Data Engineer

Lead technical work for customers on the Ascend 2.0 platform and act as the primary escalation point for a small engineering team. Work directly with clients to resolve data issues, perform root cause analysis, and provide production support.

#8 Data Engineer Senior - Databricks - Latam

The role involves co-developing batch and streaming data pipelines on Databricks and defining data contracts and quality rules. You will also mentor domain engineers on data product ownership and best engineering practices.

Data Engineer II, Credit Reporting

You will own the data pipelines, transformations, and reporting processes required for accurate credit bureau furnishing. Additionally, you will investigate data discrepancies, resolve technical escalations, and partner with cross-functional teams to implement lasting fixes.

Senior Data Engineer, Credit Reporting

You will own the end-to-end credit bureau furnishing operations, including data preparation, validation, and submission processes. Additionally, you will partner with Engineering and Compliance teams to resolve data discrepancies, implement technical fixes, and ensure accurate reporting.

Senior Data Engineer 18 applicants

You will design and build a multi-source data platform for concurrent ingestion, event-driven processing, and orchestrated batch workflows. Additionally, you will own the platform end-to-end, from architecture and ingestion through production operations.

Data Engineer

Build and maintain automated ETL pipelines to integrate marketing platforms and CRMs into a central database. Develop and manage data dashboards while automating recurring business reports and analyzing performance metrics.

Senior Data Engineer

Design, build, and manage scalable multi-cloud data platforms while developing real-time and batch data pipelines. Ensure high standards of data reliability, security, and governance while mentoring engineering team members.

Senior Data Engineer - Digital Marketing (Colombia)

Design, build, and maintain scalable ETL pipelines for large-scale data processing using PySpark and Databricks. Collaborate with cross-functional teams to translate business requirements into high-quality data solutions while optimizing performance and cloud costs.

1184 - Senior Data Engineer

Design, build, and maintain data pipelines and analytics solutions using Databricks and Python. Collaborate with IT teams to implement data governance standards and support Power BI reporting.

187. Senior Data Engineer

Act as the technical anchor for a new data engineering team, setting coding standards and mentoring junior engineers. Build, maintain, and customize ETL pipelines on AWS to ingest and deliver healthcare data to customers via Snowflake.

Senior Data Engineer

You will build and optimize scalable data solutions using Databricks, Python, and Apache Spark. Additionally, you will develop reliable data pipelines and implement complex transformations to support modern data platform initiatives.

Data Analyst / Data Engineer

Data Engineer 14 applicants

The Data Engineer designs, builds, and maintains scalable data infrastructure and ETL pipelines to support digital marketing strategies. They ensure data integrity and quality while collaborating with cross-functional teams to prepare data for dashboards and reporting.

Senior Data Engineer

Own and develop the company’s analytics infrastructure, including data collection, ETL/ELT pipelines, orchestration, backfills, monitoring, and integrations with marketing, billing, product, and internal data sources. Build and maintain dbt models, implement data quality controls, and document data sources, models, and business logic for analytics teams.

Data Engineer – Google Cloud Platform (GCP)

Design, develop, and maintain scalable cloud-based data ingestion pipelines and workflows using Google Cloud Platform. Collaborate with engineering teams to troubleshoot production issues and ensure data reliability across enterprise systems.

Senior Data Engineer

You will design and scale robust data architecture to support analytics, experimentation, and decision-making across the company. You will also lead data quality initiatives and collaborate with cross-functional teams to build scalable data systems.

Data Engineer

The Data Engineer will design, build, and maintain automated data pipelines using Snowflake and Azure Data Factory. They will also be responsible for transforming data with dbt and ensuring high data quality and system performance.

AI/Data Engineer Agentforce

You will design and build production-ready Agentforce agents, including defining topics, actions, and guardrails. Additionally, you will implement data retrieval strategies and perform rigorous evaluation and testing to ensure agent reliability.

Data Engineer Salesforce Data 360

You will build and maintain the data foundation for Salesforce Data 360 and Agentforce by ingesting, harmonizing, and modeling data from various sources. Additionally, you will design identity resolution rulesets and implement transformation pipelines while ensuring data observability and cost optimization.

Senior Data Engineer (Snowflake, DBT & Python)

Develop and maintain secure, efficient data pipelines and infrastructure using DBT, Python, and AWS services. Implement data quality testing, monitor pipeline uptime, and deploy AI agents within the HR analytics ecosystem.

Senior Data Engineer

You will build and maintain scalable data pipelines and analytics integrations using cloud technologies and Adobe Experience Cloud. Additionally, you will collaborate with cross-functional teams to translate business requirements into technical specifications and improve data quality.

1873 Sr Data Engineer – IBM DB2

Design, develop, and maintain batch and event-driven data pipelines while optimizing IBM DB2 database performance. Collaborate with cross-functional teams to integrate legacy systems with modern cloud platforms and ensure data reliability.

Data Engineer 20 applicants

Design, build, and maintain scalable batch and streaming data pipelines, transforming data from diverse sources into governed, analytics-ready datasets and reusable data services. Collaborate with clients, analysts, data scientists, and architects to ensure data quality, security, governance, performance, and clear technical documentation.

Senior Data Engineer

The Senior Data Engineer will design, develop, and maintain scalable ETL/ELT pipelines while managing AWS workflows and orchestration tools. Additionally, the role involves leading a small team, collaborating with cross-functional stakeholders, and implementing AI-driven automation for engineering tasks.

Senior Data Engineer (LatAm Only)

Design and maintain robust data pipelines, ELT processes, and data warehouse architecture to support financial operations. Implement automated data orchestration and ensure data integrity through proactive monitoring and alerting.

Mid Data Engineer

The Data Engineer will support financial reporting initiatives by managing data within the Databricks data lake. This role involves collaborating with finance stakeholders to translate business requirements into effective data solutions.

Senior Data Engineer

This role involves onboarding partner datasets through Snowflake and AWS S3 while designing medallion architecture data pipelines. The engineer will also develop dbt models and contribute to Agentic AI workstreams using Python and Snowflake's native AI capabilities.

Data Engineer, AI & Cloud

Design, build, and maintain production data pipelines and reusable data products to support analytics and AI solutions. Collaborate with cross-functional teams to ensure data reliability, security, and accessibility for enterprise applications.