Connect with LATAM-based tech talent for your most challenging projects!
Mid-Level Data Engineer
Location
Colombia
Posted
179 days ago
Salary
$2.5K - $3K / month
Seniority
Mid Level
Job Description
Mid-Level Data Engineer
NOUS LATAM
• Design and implement efficient data pipelines using Python and AWS services (Lambda, S3, Glue, etc.) • Ensure data quality, reliability, and scalability across multiple sources and formats • Collaborate closely with data analysts, software engineers, and product teams to deliver actionable insights • Contribute to continuous improvement of our data infrastructure and best practices
Job Requirements
- 2+ years of experience as a Data Engineer or in a similar role
- Strong proficiency in Python and data-related libraries (Pandas, PySpark, etc.)
- Proven experience with AWS Cloud (data pipelines, storage, and processing)
- Familiarity with SQL and modern data workflows
- Excellent English communication skills — written and spoken (daily international collaboration)
- Strong problem-solving mindset and attention to detail
- Nice to Have
- Experience with Snowflake
- Familiarity with Docker or other containerization tools
- Knowledge of CI/CD and version control (Git)
Related Guides
Related Categories
Related Job Pages
More Data Engineer Jobs
ETL Data Engineer
ComPsychThe World’s Largest Provider of Mental Health Services and GuidanceResources® for Life.
• Design, implement, and continuously expand data pipelines by performing extraction, transformation, and loading (ETL) activities • Gather requirements and business process knowledge to transform data in ways that meet end-user needs • Create new SDLC processes as needed and maintain and improve existing processes • Ensure data architecture is scalable and maintainable • Collaborate with business stakeholders and colleagues to design and deliver accurate, high-quality data • Investigate data to identify potential issues within ETL pipelines, notify end users, and propose effective solutions • Prepare and maintain documentation for future reference • Additional duties as assigned
Data Engineer
Nimble GravityData Science, Digital Transformation and eCommerce Strategy from experienced eCommerce and AI/ML experts
• Build, scale, and maintain robust data solutions to support the firm's objectives. • Implement and optimize high-performance data pipelines: extraction, loading, transformation, and orchestration – that are designed for scalability, reliability, maintainability, and speed. • Lead software development projects end to end involving large language models (LLMs), retrieval-augmented generation (RAG) frameworks, and other AI technologies. • Champion modern software engineering practices as CI/CD, infrastructure-as-code, containerization, and cloud-native deployments. • Collaborate closely with business stakeholders to transform use cases into production-ready services and solutions, owning the system from concept to production. • Implement rigorous testing and monitoring practices to maintain superior data quality and integrity. • Mentor and develop junior team members, fostering a culture of excellence and continuous learning within the team. • Be willing to travel up to 20% of the time to collaborate with distributed team members across locations.
Architecture Consultant
Lucayan Technology Solutions LLCProtecting liberty through innovation by providing cutting edge, integrated Information Technology & Logistics services.
This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Lucayan Technology Solutions is seeking Architecture Consultant to provide architectural guidance and support for the design and implementation of Microsoft 365 (M365) solutions. Multiple positions are available. These roles will focus on ensuring solutions are scalable, secure, and compliant while meeting business and IRS-specific requirements. - Design, implement, and optimize Power Platform environments and deployment pipelines. - Develop architectural standards, guidelines, and best practices for M365 solutions. - Advise project teams on integration, configuration, and optimization of M365 tools, including Power Platform, Azure, Exchange, Intune, and SharePoint. - Collaborate with stakeholders and IRS SMEs to align solutions with business objectives and IRS-specific compliance requirements. - Prepare and maintain architectural documentation, diagrams, and technical design artifacts. - Provide guidance on security, scalability, and maintainability of cloud-based M365 solutions. - Support technical decision-making and serve as a subject matter expert on M365 architecture. Qualifications - Minimum 5 years of IT architecture experience, with a focus on Microsoft 365 and Power Platform in large enterprise or federal government environments. - Experience supporting federal government clients or environments with high compliance and security requirements; IRS experience preferred. - Strong understanding of Azure, Exchange, Intune, SharePoint, and related cloud services. - Proven ability to design secure, scalable, and compliant cloud solutions. - Excellent written and verbal communication skills, including documentation and technical diagramming. - Ability to work in a remote, compliance-focused federal environment. Requirements - Must have or be able to obtain a Public Trust (MBI) clearance. - Must complete all IRS-required security, privacy, and compliance training. - Must adhere to federal cybersecurity and organizational protocols. Preferred Qualifications - Microsoft certifications such as Microsoft 365 Enterprise Administrator Expert, Microsoft Certified: Azure Solutions Architect, Power Platform Solution Architect. - Experience leading architecture reviews or technical advisory boards. - Familiarity with federal compliance and security frameworks such as NIST, FISMA, and Zero Trust. - Experience working with distributed or remote teams. Work Environment - Fully remote position with collaboration across technical teams, project staff, and IRS SMEs. - Fast-paced, compliance-driven environment requiring adherence to federal standards and best practices. - May involve occasional after-hours support for deployments or critical architectural decisions. - Requires ownership of deliverables, strong communication, and collaborative problem-solving.
Lead Data Engineer
ReadymagThe most powerful web-tool for designing websites, portfolios and all kinds of digital publications.
• Data platform architecture and implementation roadmap; • Ingestion strategy (managed ELT + pragmatic alternatives for high-volume streams); • Transformation modeling standards and metric definitions; • Data quality, reliability, and monitoring; • Technical alignment with product, growth, analytics, and leadership.




