Data Engineer - Remote, Latin America at Jobgether

, , Colombia -

Full Time

Start Date

Immediate

Expiry Date

30 Dec, 25

Salary

0.0

Posted On

01 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Pipeline Development, SQL, AWS, Data Modeling, Data Quality Monitoring, ETL Best Practices, Agile Methodologies, BI Tools, Data Integration, Problem-Solving, Analytical Skills, Communication Skills, Cloud Platforms, Database Technologies, Data Analysis, Documentation

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineer in Latin America. As a Data Engineer, you will play a key role in designing, building, and maintaining data pipelines and integration solutions that power critical business decisions. You will work in a fast-paced, collaborative environment, supporting cross-functional teams by ensuring data is accurate, accessible, and optimized for analysis. Your contributions will directly impact the efficiency and reliability of data-driven processes, enabling stakeholders to make informed decisions. This role provides the opportunity to work with modern cloud platforms, large-scale databases, and business intelligence tools, while continuously improving data quality, performance, and accessibility across the organization. Accountabilities Develop, maintain, and optimize data pipelines and integration workflows to support analytics and business intelligence needs. Design and maintain data models, ensuring accurate documentation of objects, fields, and relationships. Monitor data pipeline execution and performance, triaging and escalating issues as necessary. Collaborate with analytics, product, and engineering teams to improve data models, pipeline efficiency, and data accessibility. Implement processes for data quality monitoring and validation to ensure reliable production data. Perform data analysis to troubleshoot and resolve issues, supporting accurate reporting and decision-making. Document processes, contribute to engineering wikis, and write unit/integration tests to maintain system reliability. Work within cloud environments (AWS/Linux) and integrate with diverse data sources and platforms. BS or MS degree in Computer Science, Engineering, or a related technical field. 3+ years of experience in data pipeline development using tools such as SnapLogic, Datastage, Informatica, or equivalent. 3+ years of SQL experience; familiarity with NoSQL databases is a plus. Strong knowledge of AWS services including S3, Athena, EC2, EMR, and Glue. Experience with database technologies such as SQLServer, Redshift, Postgres, RDS, and multiple RDBMS systems. Familiarity with data warehouse design, including star schemas, denormalization, and change data capture. Experience with data integration platforms and ETL best practices. Knowledge of Agile software development methodologies and IT operations for highly available services. Familiarity with Web Services (REST, SOAP, XML) and cloud/SaaS data systems (e.g., Salesforce). Experience with BI tools such as Tableau, PowerBI, or GoodData. Excellent problem-solving, troubleshooting, and analytical skills. Strong oral and written communication skills with a customer-focused mindset. Competitive salary and performance-based bonuses. Flexible working hours and remote work opportunities. Generous paid-time-off policy and national holidays. Health coverage and wellness benefits. Technology/office stipend and continuing education support (training, courses, certifications, conferences). Collaborative and supportive work environment with opportunities for mentorship and career growth. Exposure to a wide variety of projects and modern technologies that accelerate professional development. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

Develop and maintain data pipelines and integration workflows to support analytics and business intelligence needs. Collaborate with cross-functional teams to ensure data accuracy, accessibility, and optimization for analysis.