Sr Data Engineer

Honeywell
Atlanta
Workplace: HybridFull timeFunction: Software EngineeringExperience: 5+ yearsSkills: ["Cross-functional collaboration","Mentoring","Problem-solving","Analytical thinking","Communication"]

Lead the design and implementation of scalable data architectures and AI-driven data pipelines for high-volume IoT telemetry, enabling real-time analytics and ML workloads. You will work in a hybrid Atlanta, GA team, collaborating with cross-functional groups to operationalize data solutions, MLOps, and GenAI integrations at scale.

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FursaFursa
Honeywell
Honeywell
5 months ago

Sr Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Lead the design and implementation of scalable data architectures and AI-driven data pipelines for high-volume IoT telemetry, enabling real-time analytics and ML workloads. You will work in a hybrid Atlanta, GA team, collaborating with cross-functional groups to operationalize data solutions, MLOps, and GenAI integrations at scale.
Location: Atlanta
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Design and implement scalable data architectures to process high-volume IoT sensor data and telemetry streams, ensuring reliable data capture and processing for AI/ML workloads
  • •Build and maintain data pipelines for AI product lifecycle, including training data preparation, feature engineering, and inference data flows
  • •Develop and optimize RAG (Retrieval Augmented Generation) systems, including vector databases, embedding pipelines, and efficient retrieval mechanisms
  • •Lead the architecture and development of scalable data platforms on Databricks
  • •Drive the integration of GenAI capabilities into data workflows and applications

Pay and Benefits

Perks:401kHealth InsuranceDentalVisionLife InsurancePaid Leave

Key Requirements

  • •Minimum 5 years of experience building production data pipelines in Databricks processing TB scale data
  • •Extensive experience implementing medallion architecture (Bronze/Silver/Gold) with Delta Lake, Delta Live Tables (DLT), and Lakeflow for batch and streaming pipelines
  • •Event Hub or Kafka sources
  • •Strong hands-on proficiency with PySpark for distributed data processing and transformation
  • •Strong experience working with cloud platforms such as Azure, GCP and Databricks, especially in designing and implementing AI/ML-driven data workflows
Experience:5+ yearsIndustrial IoTAIDatabricks
Skills:Cross-functional collaborationMentoringProblem-solvingAnalytical thinkingCommunication
Languages:English
Tech Stack:DatabricksDelta LakeDelta Live TablesDLTLakeflowPySparkAzureGCPKafkaEvent HubLangChainLangGraphLLMDatabricks Asset BundlesGitHub ActionsDockerKubernetesSpark StreamingStructured Streaming

Eligibility

Nationality:US National
Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Honeywell
Global diversified technology and manufacturing company providing aerospace systems, building technologies, performance materials, and safety & productivity solutions for industrial, commercial, and consumer markets.
Industry: Conglomerates & Holding Companies
Company Size: Enterprise (1,001+ employees)
Revenue: USD 25B to 50B
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Charlotte, United States
Founded: 1906
Glassdoor
Glassdoor: 3.8
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