Sr. Data Engineer
New
LATAM (Remote)Full-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 6+ years
- Required Skills
- AWSNode.jsPythonKafkaKubernetesTypeScriptAirflowPostgresSparkPySpark
Requirements
- 6+ years of professional data engineering or software engineering experience
- Strong experience with distributed data processing and streaming systems (Spark / PySpark, Kafka)
- Proficiency in Python (Pydantic preferred)
- Familiarity with Node/TypeScript is a plus
- Experience building and maintaining data pipelines on AWS using tools like Airflow, Spark Streaming, and Iceberg
- Solid understanding of data modeling and working with large-scale datasets
- Familiarity with event-driven systems and ingestion patterns (Kafka, SQS)
- Experience implementing data quality checks, monitoring, and debugging data issues
- Interest in applying AI/ML or automation to improve data workflows is a plus
- Proven track record leading high-impact initiatives from concept through production in a SaaS environment
- Expert-level grasp of software design principles and experience with multi-tenant platform architectures
Responsibilities
- Build and scale high-throughput streaming pipelines
- Design, implement, and operate pipelines ingesting 400M+ monthly MLS updates across 350+ integrations
- Model and deliver high-quality, production-grade real estate datasets
- Develop and maintain datasets that power core product experiences
- Strengthen data quality and observability
- Implement and improve data quality checks, monitoring, and alerting
- Leverage AI to improve data operations
- Contribute to AI-driven tooling that helps triage, debug, and resolve data quality issues
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