Data Engineer Manager at Blend360

Bogotá, Bogota D.C., Colombia -

Full Time

Start Date

Immediate

Expiry Date

08 Jan, 26

Salary

0.0

Posted On

10 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Databricks, Python, Azure, ETL, Machine Learning, .NET, Documentation, Collaboration, Troubleshooting, Performance Optimization, Data Governance, Cloud-based Data Ecosystems, Model Deployment

Industry

Professional Services

Description

Company Description Company Description 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, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com Job Description We are seeking a Data Engineer Manager to contribute to our next level of growth and expansion. Design, develop, and maintain scalable data pipelines and modeling workflows within Databricks, focusing on data processing, scoring automation, and performance optimization. Implement and execute model scoring workflows in Databricks via Lakehouse Federation, including daily refresh automation and notebook orchestration. Build, optimize, and monitor ETL/ELT pipelines integrating Python, and cloud-based data ecosystems. Develop and maintain .NET pipelines to transfer model scores from Databricks to external systems via Azure EventHub. Create and manage Databricks asset bundles required to promote solutions to higher environments. Collaborate with cross-functional teams to ensure data governance, reliability, and performance across environments. Document architectural and technical decisions, including design assumptions, implementation rationale, and scalability considerations. Troubleshoot issues, optimize performance, and ensure data workflow stability and accuracy. Qualifications Proven experience as a Data Engineer or Databricks Engineer, with strong expertise in Databricks modeling, pipelines, and orchestration. +5 years of experience in data engineering or cloud-based data modeling roles. Strong proficiency in Python for data processing and machine learning workflows. Hands-on experience with Azure cloud environments (preferred). Proficiency in Databricks jobs, tasks, widgets, notebooks, EventHub, and Lakehouse Federation. Familiarity with ETL frameworks, data ecosystems, and ML model deployment. Experience with .NET pipelines (nice to have). Excellent documentation and communication skills. Ability to thrive in both independent and collaborative environments. What about languages? You will need excellent written and verbal English for clear and effective communication with the team. Additional Information Our Perks and Benefits: 📚 Learning Opportunities: Certifications in AWS (we are AWS Partners), Databricks, and Snowflake. Access to AI learning paths to stay up to date with the latest technologies. Study plans, courses, and additional certifications tailored to your role. Access to Udemy Business, offering thousands of courses to boost your technical and soft skills. English lessons to support your professional communication. Travel opportunities to attend industry conferences and meet clients. 👩‍🏫 Mentoring and Development: Career development plans and mentorship programs to help shape your path. 🎁 Celebrations & Support: Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones. Company-provided equipment. ⚖️ Flexible working options to help you strike the right balance. Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.

Responsibilities

The Data Engineer Manager will design, develop, and maintain scalable data pipelines and workflows within Databricks. They will collaborate with cross-functional teams to ensure data governance and performance across environments.