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Data Integration Engineer

• Posted 7 hours ago • Updated 7 hours ago

Full Time

Fitment

Dice Job Match Score™

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Job Details

Skills

Data Integration
FOCUS
Interfaces
Analytics
Data Flow
Debugging
Workflow
Object-Oriented Programming
Python
SOAP
JSON
XML
Extract
Transform
Load
Data Modeling
Writing
SQL
Scripting
SaaS
Business Systems
NetSuite
Fluency
English
Microsoft Azure
Microsoft Certified Professional
Salesforce.com
Snow Flake Schema
Marketo
Slack
Google Tag Manager (GTM)
Forecasting
Competitive Intelligence
Integration Architecture
Recruiting
Artificial Intelligence
Evaluation
Privacy

Data Integration
FOCUS
Interfaces
Analytics
Data Flow
Debugging
Workflow
Object-Oriented Programming
Python
SOAP
JSON
XML
Extract
Transform
Load
Data Modeling
Writing
SQL
Scripting
SaaS
Business Systems
NetSuite
Fluency
English
Microsoft Azure
Microsoft Certified Professional
Salesforce.com
Snow Flake Schema
Marketo
Slack
Google Tag Manager (GTM)
Forecasting
Competitive Intelligence
Integration Architecture
Recruiting
Artificial Intelligence
Evaluation
Privacy

Summary

Navan is seeking an AI Integration Engineer to join our Business Technology team. You will focus on building and maintaining AI powered integrations and agents on top of our internal business systems, primarily using Workato and Python, with exposure to leading LLM platforms (OpenAI, Anthropic, Gemini, etc.). This is a mid-level, hands on engineering role with room to grow into more ownership over time.

What You'll Do

Build and maintain integrations between business systems (Salesforce, Gong, Snowflake, Slack, NetSuite, etc.) using Workato and Python
Implement AI agents that:

Enrich prospect and customer data from call transcripts and product usage
Monitor deal health across the open pipeline and surface risk
Track competitive mentions and correlate them with outcomes

Develop MCP-style tools/connectors that safely expose business-system data and actions to LLMs
Integrate with REST and SOAP APIs using JSON/XML, including tool-calling interfaces for agents
Apply ETL techniques and data modeling approaches to design AI-ready and analytics-ready data flows
Write SQL scripts to analyze datasets, debug pipelines, and evaluate agent performance
Productionize POCs from platforms like Gemini Enterprise, OpenAI, and Anthropic into reliable workflows
Document integrations, agents, and data contracts for reuse and maintenance

Must Have

3-5 years of experience working with an integration platform (Workato strongly preferred if multiple platforms)
2+ years of experience with an object-oriented language (Python preferred)
Experience integrating with REST & SOAP APIs using JSON/XML documents
Experience with ETL techniques and data modeling approaches
Experience writing SQL scripts to analyze datasets and troubleshoot issues
Experience with at least one major SaaS business system (e.g., Salesforce, NetSuite, or similar)
Fluency in the English language

Nice to Have

Hands-on experience with LLM / AI platforms (OpenAI, Anthropic, Gemini, Azure OpenAI, etc.)
Experience building tools/agents that call external APIs or implement function-calling / MCP-style patterns
Knowledge of data objects and APIs for Salesforce, Gong, Snowflake, Marketo, and/or Slack
Familiarity with GTM / RevOps concepts (pipeline, forecast, win/loss, competitive intel)
Interest in growing into a role with more design and ownership over AI and integration architecture

Navan uses AI-assisted Automated Employment Decision Tool (Metaview) to assist with evaluating resumes against job qualifications for this role. All final decisions are made by human recruiters and hiring managers.

Human oversight: Metaview does not automatically reject candidates or make final hiring decisions. Our recruiters and hiring managers review all outputs and make the final hiring decision regarding every application.

Your rights: If you prefer to have your application reviewed without AI assistance, you may request a human evaluation by entering your email here. Your decision to do so will not affect how your candidacy is evaluated.

Please refer to our Candidate Privacy Notice for more information about our processing of personal data, and your rights.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 80183440
Position Id: 727d6ed228f0d5d9a026d960ff2a1827
Posted 7 hours ago

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