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At Cloudera, we believe that data can make what is impossible today, possible tomorrow.
Senior Data Engineer
Location
Costa Rica
Posted
75 days ago
Salary
0
Seniority
Senior
Job Description
Senior Data Engineer
Cloudera
• Collaborate with Data Architects, Operational Architects, and Data Analysts to understand the data and operational requirements across different business units. • Partner with data owners to ensure seamless, reliable data ingestion for both traditional analytics and GenAI-powered applications. • 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. • Develop and implement data transformations to enrich and provision data, following established specifications and standards while utilizing AI-first workflows. • 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. • 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. • Implement monitoring and CI/CD automation processes to track data quality and ensure the reliability of AI-supported data services. • Standardize AI-first engineering workflows across the team to ensure high-quality, auto-validated, and well-documented code delivery.
Job Requirements
- 5+ years of experience as a Data Engineer
- 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
- Solid skills in System Design for diverse data architectures, including expert-level knowledge of batch processing and real-time/streaming processing
- 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.
Benefits
- 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
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