Senior Data Engineer

Cloudera

Data Engineer at Cloudera transforming data into insights by building scalable pipelines. Leading the shift to AI-orchestrated development and modernizing workflows.

Posted 6/2/2026full-timeRemote • 🇨🇷 Costa RicaSeniorWebsite

Tech Stack

Tools & technologies

Distributed SystemsETLHadoopKafkaPythonSparkSQL

About the role

Key responsibilities & impact

Design and implement robust system architectures for real-time, near real-time, and batch processing data flows to meet the operational demands of complex business systems
Master 'Vibe Coding' and AI-orchestrated development to accelerate the delivery of new data pipelines and GenAI applications, reducing the end-to-end development lifecycle from days to hours
Design and deploy GenAI-powered 'Self-Service' tools, including automated documentation generators and natural language interfaces, to empower business users and reduce routine engineering requests
Standardize AI-first engineering workflows across the team to ensure high-quality, auto-validated, and well-documented code delivery
Develop and implement data transformations to enrich and provision data, following established specifications and standards while utilizing AI-first workflows
Partner with data owners to ensure seamless, reliable data ingestion for both traditional analytics and GenAI-powered applications
Collaborate with Data Architects, Operational Architects, and Data Analysts to understand the data and operational requirements across different business units
Implement monitoring and CI/CD automation processes to track data quality and ensure the reliability of AI-supported data services

Requirements

What you’ll need

5+ years of experience as a Data Engineer
Solid skills in System Design for diverse data architectures, including expert-level knowledge of batch processing and real-time/streaming processing
Proven experience with AI-first approaches and 'Vibe Coding,' with a demonstrated ability to deliver production-ready data pipelines using AI orchestration rather than purely manual coding
Deep proficiency with AI-assisted coding tools, including Cursor, GitHub Copilot, or Gemini, to modernize and accelerate engineering workflows
Proficient in coding with Python (primary) and SQL, with experience in ETL and data processing
Hands-on experience with Distributed Systems and Big Data technologies, including Spark and the Hadoop ecosystem (Hive, Impala, Kafka)
Proven proficiency in Data Modeling using industry best practices (e.g., Kimball, Inmon) to ensure data integrity
Ability to monitor critical data pipelines for quality and resolve any issues effectively
Strong communication skills, both written and verbal.
Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent experience)

Benefits

Comp & perks

Generous PTO Policy
Support work life balance with Unplugged Days
Flexible WFH Policy
Mental & Physical Wellness programs
Phone and Internet Reimbursement program
Access to Continued Career Development
Comprehensive Benefits and Competitive Packages
Paid Volunteer Time
Employee Resource Groups

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

System Designbatch processingreal-time processingAI-first approachesVibe Codingdata pipelinesPythonSQLETLData Modeling

Soft Skills

strong communication skills

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in EngineeringBachelor’s degree in Information Systems