---
title: 'Data Engineer I (R-19886) at Dun & Bradstreet'
canonical: 'https://feeny.ai/job/data-engineer-i-r-19886-dun-bradstreet-hyderabad-11aga5h1dm45'
type: 'job'
last_seen: '2026-09-07'
---

# Data Engineer I (R-19886) at Dun & Bradstreet

- **Company:** Dun & Bradstreet
- **Location:** Hyderabad, India
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-09-03
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.lever.co/dnb/f6a4fe79-0170-4a61-a571-372103189d70

## Job description

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers.

Key Responsibilities:

Coding & Development

- Write, review, test, and maintain code, including SQL and Python, to build data tools, automations, and ingestion and transformation workflows that support Research and Managed Services
- Automate manual processes and develop data tools to improve efficiency, accuracy, quality, and throughput
- Develop and promote coding standards and contribute to code reviews within the agile team
- Build and maintain web-scraping solutions, API integrations, and reusable data-processing components
- Support scalable ETL/ELT pipelines for structured and unstructured data

Source Evaluation & AI Enablement

- Identify prospective sources that can feed AI solutions and Research and Managed Services workflows
- Define and apply source-evaluation criteria covering relevance, authority, freshness, completeness, coverage, consistency, accessibility, legal or licensing constraints, privacy, security, and technical compatibility
- Perform source profiling, sample validation, proof-of-concept testing, and comparative assessments before recommending onboarding
- Document source decisions, metadata, lineage, ownership, limitations, refresh expectations, and approved use cases
- Implement and support AI-enabled workflows using LangChain or equivalent orchestration frameworks, large language models, embeddings, retrieval-augmented generation, vector databases, and prompt-engineering approaches where applicable
- Monitor source and AI-workflow performance and recommend remediation, replacement, or additional sources when quality or coverage falls below requirements

Operational Tasks

- Perform day-to-day operational activities supporting Research and Managed Services, including monitoring, exception handling, data maintenance, and issue resolution
- Perform database administration activities, including performance tuning and implementation of best practices
- Implement new data-maintenance processes and provide end-to-end process ownership
- Ensure data integrity by validating, reconciling, and regularly cleaning data
- Investigate and resolve production incidents, pipeline failures, data-quality issues, and operational exceptions
- Follow applicable data governance, security, and operational standards

Collaboration & Continuous Learning

- Evaluate and implement new technology solutions, and proactively learn and adopt new tools, platforms, and methodologies introduced by the organization
- Communicate with stakeholders and conduct knowledge-exchange sessions for technical and non-technical audiences
- Develop and maintain data documentation, including data dictionaries, source assessments, data-flow diagrams, data mappings, runbooks, and data lineage
- Collaborate with cross-functional teams across Data & Analytics, Technology, Research Services, Managed Services, Product, and Data Governance
- Additional duties as assigned.

Key Skills:

- Strong SQL and Python skills, with demonstrated ability to write and maintain code as a core part of daily work
- Experience with Playwright, Selenium, and other web-data collection techniques
- Experience developing and supporting data-ingestion, transformation, and ETL/ELT workflows
- Ability to collect and interpret data from multiple sources, including web scraping and GCS/S3, and formats including delimited files, XML, JSON, and PDF
- Working knowledge of data systems and databases used to maintain data pipelines
- Experience with Power BI, Tableau, or other dashboard tools
- Experience managing stakeholders and project plans
- Proficiency in Microsoft Office Suite
- Willingness and demonstrated ability to learn new technologies as they are introduced
- BigQuery experience and knowledge of AWS and/or GCP
- Hands-on experience implementing AI solutions using LangChain or an equivalent orchestration framework
- Exposure large language models, prompt engineering, retrieval-augmented generation, embeddings, vector databases, AI agents, or graph databases
- Knowledge of Data Operations methodologies, data management approaches, ServiceNow, and/or Jira
- Experience with NoSQL technologies, SQL Server administration, R programming, web technologies, and data mapping from multiple sources.

All Dun & Bradstreet job postings can be found at https://jobs.lever.co/dnb. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.

Notice to Applicants: Please be advised that this job posting page is hosted and powered by Lever, a subsidiary of Employ Inc. Your use of this page is subject to Employ's Privacy Notice and Cookie Policy, which governs the processing of visitor data on this platform.

## About Dun & Bradstreet

## Company Overview
- **One-liner**: Dun & Bradstreet provides business decisioning data, analytics, and a global identity layer (the D-U-N‑S Number) to help companies manage risk, accelerate growth, and operationalize trusted context across sales, finance, compliance, and supply chains.
- **Entity Type**: Public (NYSE: DNB)
- **Headquarters**: Jacksonville, Florida, USA
- **Founded**: 1841
- **Founders**: Not publicly available (historical formation through mergers of Lewis Tappan’s Mercantile Agency and R.G. Dun & Co.)

## Core Business
- **Primary industries**: Information Services, Business Data & Analytics, Credit Risk, Compliance, Supply Chain Management
- **Target customers**: B2B – enterprises, SMBs, financial institutions, government agencies, procurement and risk teams
- **Mission / purpose**: “Since 1841, companies of every size have relied on Dun & Bradstreet to help them manage risk and reveal opportunity.” [dnb.com](https://www.dnb.com/en-us/?cachebust=0.17253344090823353)

## Products & Services
- **D&B Data Cloud**: A governed foundation of verified business identity and continuously updated context, used to enrich CRM, ERP, and AI workflows.
- **D-U-N-S® Number**: A free, globally recognized unique business identifier that establishes a credit profile and unlocks access to suppliers, lenders, and government contracts.
- **D&B Commercial Graph**: A governed data layer delivering traceable, auditable business context for analytics and AI.
- **D&B AI Connectors**: Pre-built integrations that deliver decision-ready business insight into Salesforce, SAP, and other enterprise tools.
- **D&B MCP Server**: Enables AI agents to connect directly to governed business insight for auditability and reliable execution.
- **Risk & Compliance Solutions**: Third-party onboarding, monitoring, and enhanced due diligence.
- **Sales & Marketing Solutions**: Account-based data, lead scoring, and territory insights.
- **Finance Solutions**: Credit risk assessment, cash flow optimization, and financial signals.

## Market Standing
- **Valuation / Market Cap**: Not publicly disclosed in search results (publicly traded on NYSE; market cap can be looked up but not provided in the retrieved data).
- **Key Metric**: Annual revenue of **$2.4B** (latest full fiscal year). Q2 FY2025 (ended June 30, 2025) revenue was **$585.2M** with a net loss of **$33.7M**. [linkedin.com](https://www.linkedin.com/company/dun-&-bradstreet)
- **Notable Investors / Partners**: Parent company **Clearlake Capital Group, L.P.** (majority shareholder). Other institutional investors not listed in the search results.
- **Growth Signals**:
  - Headcount: **4,130 employees** (monthly growth +0.2%)
  - Active job postings: **87** (monthly growth +20.8%, quarterly growth +67.3%)
  - Operating in 28 countries, with data covering many more.
  - Recent emphasis on AI connectors and the MCP server to embed verified business context into agentic workflows.

## Competitive Advantages
- **Persistent Identity (D-U-N-S Number)**: A unique, globally recognized business identifier that provides a single source of truth across systems and use cases, creating a strong switching cost.
- **Longevity & Breadth**: Founded in 1841, the company has accumulated decades of business data and relationships, making it one of the most comprehensive business intelligence providers.
- **Governance & Traceability**: Unlike generic data lakes, the D&B Commercial Graph is designed for auditability, compliance, and AI readiness – a differentiator in regulated industries.
- **Wide Ecosystem Integration**: Native connectors to major platforms (Salesforce, SAP, Tableau, etc.) reduce friction for enterprise adoption.

## Strategic Focus
- **AI as a Context Layer**: Position “verified business context” as the missing link for enterprise AI success, emphasizing governed, traceable data over fragmented inputs.
- **Product Innovation**: Continued development of the MCP Server and AI connectors to enable agentic workflows in procurement, compliance, and sales.
- **Risk & Compliance Expansion**: Deepening capabilities in third-party risk management and enhanced due diligence to meet rising regulatory demands.
- **Data Modernization**: Investing in cloud-native infrastructure and real-time data updates to stay ahead of competitors like Experian and Moody’s.

## Why Work Here
- **Culture & Rating**: Employer rating of **3.8/5** (2,861 reviews on LinkedIn) with strong marks for work-life balance (4.0) and culture (3.7). Compensation scores 3.6 and career development 3.6. [linkedin.com](https://www.linkedin.com/company/dun-&-bradstreet)
- **Work Model**: **Hybrid** – employees typically work on-site **2 days a week** at their Jacksonville HQ or one of 32 global offices. [builtin.com](https://builtin.com/company/dun-bradstreet)
- **Notable Perks**:
  - Performance bonuses and employee discounts
  - Adoption assistance, generous parental leave, and family medical leave
  - Dental, health, and FSA benefits
  - Job training, conferences, and customized development tracks
  - Diverse workforce: talent sourced from top companies (IBM, Oracle, Cognizant, Deloitte, etc.)
- **Technical Environment**: Engineering teams work on large-scale data platforms, AI/ML models, and data pipelines. Open roles include Data Scientists, AI Security Engineers, and Principal Systems Engineers.

## Sources
1. [dnb.com – Company Overview](https://www.dnb.com/en-us/?cachebust=0.17253344090823353)
2. [dnb.com – Careers](https://www.dnb.com/en-us/about/careers.html)
3. [jobs.lever.co – Open Positions](https://jobs.lever.co/dnb)
4. [linkedin.com – Company Profile](https://www.linkedin.com/company/dun-&-bradstreet)
5. [builtin.com – Culture & Perks](https://builtin.com/company/dun-bradstreet)

## Other roles at Dun & Bradstreet

- [Senior Analyst - AI Engineer (R-19889)](https://feeny.ai/job/senior-analyst-ai-engineer-r-19889-dun-bradstreet-hyderabad-vy7d6djt1cjv) — Hyderabad, India
- [Sales Operations Specialist (R-19833)](https://feeny.ai/job/sales-operations-specialist-r-19833-dun-bradstreet-stockholm-cep917438r01) — Stockholm, Sweden
- [Senior Brand Marketing Manager (R-19895)](https://feeny.ai/job/senior-brand-marketing-manager-r-19895-dun-bradstreet-jacksonville-w7mp0m87sq40) — Jacksonville, FL
- [CPQ & Finance Analyst (R-19903)](https://feeny.ai/job/cpq-finance-analyst-r-19903-dun-bradstreet-jacksonville-n2whbbt84stg) — Jacksonville, FL
- [Director, ServiceNow Engineering (R-19848)](https://feeny.ai/job/director-servicenow-engineering-r-19848-dun-bradstreet-jacksonville-343y76k2qmaq) — Jacksonville, FL
- [CPQ & Finance Analyst (R-19903)](https://feeny.ai/job/cpq-finance-analyst-r-19903-dun-bradstreet-florham-park-ev8pjg5wh7gh) — Florham Park, NJ
- [Associate UX Designer (R-19487)](https://feeny.ai/job/associate-ux-designer-r-19487-dun-bradstreet-austin-mezrx40nbw5n) — Austin, TX
- [Implementation Analyst (R-19606)](https://feeny.ai/job/implementation-analyst-r-19606-dun-bradstreet-jacksonville-0b8cxa8nj15n) — Jacksonville, FL
- [Enterprise Key Account Manager](https://feeny.ai/job/enterprise-key-account-manager-dun-bradstreet-taipei-3bbm29gfb7pp) — Taipei, Taiwan
- [Associate Implementation Consultant (R-19843)](https://feeny.ai/job/associate-implementation-consultant-r-19843-dun-bradstreet-taipei-7ysv9hbngftz) — Taipei, Taiwan