✦ Luna Orbit — Data & Analytics

Senior Software Engineer - Analytics Data Engineering

at Klaviyo

📍 Boston, MA Onsite Posted March 18, 2026
Type Full-Time
Experience senior
Exp. Years 4+ years
Education Not specified
Category Data & Analytics

Senior Data Engineer responsible for building and maintaining scalable data pipelines and models to support analytics and AI features.

  • Design and implement data pipelines
  • Collaborate with product teams
  • Mentor engineers
  • Ensure data quality and observability
  • Optimize data performance

Environment includes Python, SQL, Apache Pulsar, Kafka, AWS, with a focus on data quality, observability, and performance.

The ideal candidate is a senior data engineer with 4+ years of experience building scalable data pipelines, proficient in Python, SQL, and cloud platforms like AWS. They should have a strong background in data modeling, quality, and observability, with leadership skills to mentor junior engineers.

6+ years of software engineeringData engineering experienceBuilding data pipelinesCollaborating with product teamsMentoring engineers
ML & AIData modeling standardsData quality toolsObservability toolsData contracts
Apache PulsarKafkaAWSPythonSQL
Data pipelinesData engineeringPythonSQLApache PulsarKafkaAWSData modelingData qualityData observabilityData contractsPerformance optimizationMentoringCollaboration
Data pipelinesData modelingMLAIPythonSQLApache PulsarKafkaAWSML & AIData engineeringData qualityData observabilityData contractsPerformance optimization
LeadershipCollaborationMentoringCommunicationProblem-solvingDesign thinking
Industry SaaS
Job Function Data engineering and pipeline development
Role Subtype Data Engineer
Tech Domains Apache Pulsar, Kafka, Amazon Web Services, Python, SQL / PostgreSQL
Data pipelinesData engineeringMLAIPythonSQLApache PulsarKafkaAWSData modelingData qualityData observabilityData contractsPerformance optimizationMentoringCollaborationdata pipelinesdata engineeringpythonsqlawsapache pulsarkafkamlaidata modeling

Less than 4 years of data engineering experience, Lack of experience with data pipelines or cloud platforms, No mentoring or leadership experience

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