Data Engineer
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| Company Name | Blend |
| Company Type | Private |
| Job Type | Full-Time |
| Salary Range | Market Competitive |
| Location | Bogota, D.C., Capital District, Colombia |
| Qualifications | None / No Formal Education |
| Experience | 5 Year+ |
Job Overview
Blend is seeking a skilled Data Engineer to join their team in Bogota, D.C., Colombia. This role involves leveraging data science, AI, and technology to co-create meaningful impact for clients, focusing on building and maintaining robust data pipelines.
Company Overview
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.
Quick Details
- Salary Range: Market Competitive
- Job Type: Full-time
- Qualifications: None / Open to all applicants
- Experience: 5 Year+
Key Responsibilities
- Design, build, and maintain scalable data pipelines and ETL processes.
- Collaborate with data scientists and analysts to understand data needs and implement solutions.
- Ensure data quality, integrity, and security across all data systems.
- Optimize existing data infrastructure for performance and cost-efficiency.
- Develop and implement tools to automate data processing and analysis.
- Stay updated with new data technologies and contribute to architectural decisions.
Requirements
- Proven experience (5+ years) as a Data Engineer or in a similar role.
- Strong proficiency in programming languages like Python, Java, or Scala.
- Expertise with SQL and NoSQL databases, and data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
- Experience with cloud platforms (AWS, Azure, GCP) and data orchestration tools (e.g., Airflow).
- Understanding of data modeling, data governance, and data security best practices.
- Excellent problem-solving skills and ability to work in a collaborative environment.
Benefits
- Opportunity to work with cutting-edge AI and data science technologies.
- Be part of a dynamic and innovative team focused on meaningful client impact.
- Professional development and growth opportunities.
- Competitive salary and comprehensive benefits package.
- Collaborative and supportive work environment.
- Contribution to projects that align human expertise with artificial intelligence.