Honeywell

3 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: 10 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: 3.8

Website LinkedIn Glassdoor

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Honeywell

3 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: 10 hours agoStatus: Live

Job Summary

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

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: 3.8

Website LinkedIn Glassdoor