
Senior Data Engineer
Luxury Presence
full-time
Posted on:
Location Type: Remote
Location: United States
Visit company websiteExplore more
Salary
💰 $150,000 - $190,000 per year
Job Level
About the role
- Build and scale high-throughput streaming pipelines. Design, implement, and operate pipelines ingesting 400M+ monthly MLS updates across 350+ integrations using Airflow, Spark Streaming, Kafka, and Iceberg—ensuring reliability, performance, and data correctness.
- Model and deliver high-quality, production-grade real estate datasets. Develop and maintain datasets that power core product experiences, with a focus on data modeling, transformation logic, and balancing freshness, accuracy, and cost.
- Strengthen data quality and observability. Implement and improve data quality checks, monitoring, and alerting to detect issues early and reduce downstream impact.
- Leverage AI to improve data operations. Contribute to AI-driven tooling that helps triage, debug, and resolve data quality issues, increasing team efficiency and reducing manual intervention.
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) and 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringsoftware engineeringdistributed data processingstreaming systemsdata modelingdata quality checksmonitoringdebuggingPythonAI/ML
Soft Skills
leadershipteam efficiencyproblem-solvingcommunication