✦ Luna Orbit — Data & Analytics

Sr Staff Data Engineer - Hybrid

at Hartford Financial Services Group

📍 4 Locations Hybrid 💰 $135K – $202K USD / year Posted March 14, 2026
Salary $135K – $202K USD / year
Type Full-Time
Experience senior
Exp. Years Not specified
Education Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field
Category Data & Analytics

This role involves developing and implementing AI data pipelines and streaming solutions to support enterprise AI initiatives. The engineer will work with cloud platforms and ensure system reliability.

  • Implement AI data pipelines
  • Develop data streaming pipelines
  • Collaborate with cross-functional teams
  • Ensure system reliability and scalability
  • Mentor junior team members

The technical environment includes AI & Machine Learning, data streaming technologies like Apache Kafka and AWS Kinesis, Spark, and cloud platforms such as AWS, GCP, and Azure.

The ideal candidate is a senior data engineer with experience in implementing AI data pipelines, data streaming technologies, and cloud platforms. They should have strong leadership and collaboration skills, with a focus on reliability and disaster recovery strategies.

Bachelor's or Master's degree in Computer ScienceArtificial Intelligenceor a related fieldExperience implementing AI data pipelinesExperience with data streaming technologiesKnowledge of AI & Machine LearningExperience with cloud platforms (AWSGCPAzure)
Graph database solutionsDisaster recovery strategiesReliability engineeringCross-functional collaborationAI & Agentic solutions
Apache KafkaAWS KinesisSparkCloud platforms (AWSGCPAzure)
AI data pipelinesdata streamingApache KafkaAWS KinesisSparkAI & Machine LearningData engineeringcloud platformsgrounding strategiesdisaster recovery
PythonApache KafkaAWS KinesisSparkGrounding strategiesAI data pipelinesData streaming pipelinesData pre-processingAI & Machine LearningData engineeringGrounding strategiesData pipelinesAI solutions
collaborationleadershipproblem-solvingcommunicationteamworkmentoringadaptability
Industry Insurance
Job Function Developing AI data pipelines and supporting enterprise AI solutions
Role Subtype Data Engineer
Tech Domains Apache Kafka, Amazon Web Services, Google Cloud Platform, Spark, AI & Machine Learning
AI data pipelinesdata streamingApache KafkaAWS KinesisSparkAI & Machine LearningData engineeringcloud platformsdisaster recoveryreliability engineeringgrounding strategiesdata pre-processingAI solutionscollaborationmentoringPython

Lack of experience with data streaming technologies, No cloud platform experience, No AI data pipeline experience, No relevant degree, Lack of collaboration or leadership skills

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