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Data Broker Jobs (NOW HIRING)

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Data Entry Broker

Laredo, TX · On-site

$17/hr

The Data Entry Broker plays a crucial role in managing client communications and maintaining internal records within a large, distributed team. Reporting directly to the data manager, this position ...

Mohr Partners

Associate Broker

Chicago, IL · On-site

Compiles property data for clients, such as tenant surveys, summary reports, maps, and status ... Participates and shadows senior brokers in contract negotiations and due diligence Broker ...

Mohr Partners

Associate Broker

Seattle, WA

Brokerage Location: Seattle, WA Reports To: Seattle Market Leader Classification: Commission Job ... Compiles property data for clients, such as summary reports, maps, status updates, and industry ...

Cogent Talent Solutions

Freight Broker

Birmingham, AL · On-site

$600/wk

A freight broker acts as an intermediary between shippers (companies or individuals who need to ... If you would like more information about how your data is processed, please contact us.

Cogent Talent Solutions

Freight Broker

Birmingham, AL

$600/wk

A freight broker acts as an intermediary between shippers (companies or individuals who need to ... If you would like more information about how your data is processed, please contact us. apply for ...

Edgehog Trading

Broker Trader

Chicago, IL · On-site

We emphasize data-driven decision making, rigorous problem solving, and continuous improvement to ... Manage broker and institutional counterparty relationships across multiple products * Negotiate ...

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Data Broker information

What does a data broker do?

A data broker collects, aggregates, and sells personal and business data from various sources to clients such as marketers, advertisers, and researchers. They analyze and organize large datasets using tools like databases and data management software, often working in environments that require knowledge of privacy laws and data security. The role may involve compliance with regulations like GDPR or CCPA and typically requires strong analytical skills and attention to detail.

Is it hard to become a data broker?

Becoming a data broker typically requires knowledge of data collection, management, and privacy laws, along with skills in data analysis and database tools. While there are no formal licensing requirements, gaining experience through related roles or certifications can improve job prospects. The field often involves self-directed learning and understanding of legal and ethical considerations.

What are the key skills and qualifications needed to thrive in the Data Broker position, and why are they important?

To thrive as a Data Broker, you need strong analytical abilities, knowledge of data privacy regulations, and experience in data sourcing and management, often backed by a background in information technology, business, or a related field. Proficiency with database management systems, data visualization tools, and relevant certifications such as Certified Information Privacy Professional (CIPP) is highly valuable. Excellent negotiation, communication, and ethical judgment are critical soft skills for building client relationships and ensuring compliance. These competencies are vital for responsibly acquiring, managing, and distributing data while maintaining trust with clients and adhering to legal standards.

What are the typical day-to-day responsibilities of a Data Broker?

A Data Broker's daily tasks often include sourcing, aggregating, and verifying large datasets from multiple sources, analyzing data accuracy and relevance, and preparing data products for clients. You may also spend time negotiating data purchase agreements, ensuring compliance with privacy laws, and collaborating with data analysts, legal teams, and clients to tailor data solutions. The role requires staying updated on industry regulations and market trends to maintain data quality and ethical standards. Most Data Brokers work as part of a team but may also have independent research and client-facing duties depending on their employer's structure.

How much money does a data broker make?

Data brokers typically earn between $50,000 and $120,000 annually, depending on experience, location, and the size of the company. Senior or specialized data brokers with advanced skills in data analysis and privacy compliance can earn higher salaries, often exceeding $150,000.

What is a Data Broker job?

A Data Broker collects, processes, and sells data to businesses, organizations, or individuals for various purposes, such as marketing, risk assessment, or research. They gather data from public records, online sources, and third-party providers, then analyze and package it for clients. Data Brokers must ensure data accuracy and compliance with privacy laws while monetizing valuable insights.

Is it legal to be a data broker?

Data brokers are legal entities that collect, aggregate, and sell consumer data, but their activities are regulated by laws such as the Fair Credit Reporting Act and the General Data Protection Regulation in certain jurisdictions. Compliance with privacy laws and transparency requirements is essential for data brokers to operate legally.
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Data Broker jobs near you
Infographic showing various Data Broker job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 2% As Needed, 88% Full Time, 5% Part Time, and 4% Contract. Highlights an 78% Physical, 7% Hybrid, and 15% Remote job distribution.

Senior Data Consultant - Site Enablement Lead

Deep Digital Solutions Group

Raleigh, NC • On-site

Full-time

Posted 17 days ago

Job description

At Deep DSG, we're accelerating the digital transformation of manufacturing through cutting-edge industrial data solutions.
We are looking for a Data Enablement Lead to drive the successful deployment and adoption of our industrial data ecosystem, including Unified Namespace (UNS), Industrial DataOps, Data Brokers, and related data products.
As the on-site champion for Data Enablement initiatives with our client base, you will lead projects from planning through execution, working closely with manufacturing, engineering, automation, and digital teams to unlock business value through connected data. This is a highly visible role that combines project leadership, stakeholder engagement, and change management with a strong understanding of industrial technologies and manufacturing environments.
Requirements
  • Lead the on-site deployment and adoption of Unified Namespace (UNS), Industrial DataOps, Data Brokers, and related industrial data solutions.
  • Act as the primary site lead for Data Enablement initiatives, ensuring successful project delivery from planning through execution.
  • Coordinate activities between site operations, engineering, OT, IT, and Digital teams to achieve project objectives.
  • Manage project timelines, risks, dependencies, resources, and stakeholder communications.
  • Drive alignment between business, operational, and technical teams throughout implementation.
  • Ensure solutions are delivered in line with enterprise architecture, governance, and security standards.
  • Support change management activities to enable user adoption and long-term sustainability.
  • Facilitate on-site workshops, project meetings, issue resolution, and implementation activities.
  • Promote best practices for industrial data management, integration, and operational excellence.
  • Provide local leadership and oversight to ensure projects are delivered on schedule and within scope.

  • Proven experience leading projects within manufacturing, industrial automation, or digital transformation environments.
  • Strong project management skills, including planning, stakeholder management, risk mitigation, and resource coordination.
  • Experience with Agile, Waterfall, or Hybrid project delivery methodologies.
  • Working knowledge of Unified Namespace (UNS), Industrial DataOps, industrial data products, and data governance principles.
  • Understanding of manufacturing operations, OT/IT convergence, ISA-95, and Purdue Model concepts.
  • Familiarity with industrial data integration architectures and connected manufacturing environments.
  • Exposure to industrial technologies including PLCs, SCADA, MES, historians, MQTT, data brokers, and middleware platforms.
  • Understanding of cloud and edge computing environments within industrial settings.
  • Excellent communication, collaboration, and change management skills.
  • Ability to work effectively on-site and engage with cross-functional stakeholders at all levels of the organization.

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