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Data Sales Jobs in Washington (NOW HIRING)

First American

CRM Campaign Manager

Washington, DC · On-site

Collaborate with Sales Operations to improve CRM data quality, campaign targeting, and lead handoff processes. * Monitor campaign performance, including open rates, click-through rates, conversions ...

TCOM, L.P.

Staff Solutions Engineer

Arlington, VA · On-site +1

The best candidates will have a strong background in commercial data sales, and not just from the technical side - from the market and strategy side * 10+ years job experience preferred, with 4+ ...

Syneos Health, Inc.

Regional Director

Washington, DC · On-site

$200 - $215/hr

Analyze market data, sales trends, and key performance indicators (KPIs) to identify growth opportunities, adjust tactics proactively, and drive accountability across the region. * Lead a team of ...

Generac

Sales Engineer - Data Centers

Ashburn, VA · On-site +1

The Sales Engineer - Data Centers works under the guidance of the Senior Director of Sales - Data Centers and supports the promotion and technical pre-sales support of Generac Industrial products ...

AaraTechnologies Inc

DATA ANALYST

Washington, DC · On-site

This role involves analyzing sales and transaction data, building dashboards, and supporting KPI reporting. You will work closely with business teams to enable data-driven decisions. Ideal for early ...

New

AaraTechnologies Inc

DATA ANALYST

Maryland City, MD · On-site

This role involves analyzing sales and transaction data, building dashboards, and supporting KPI reporting. You will work closely with business teams to enable data-driven decisions. Ideal for early ...

AvePoint

Data Analyst

Arlington, VA · On-site

$85K - $110K/yr

In this role, you will analyze data across our partner ecosystem-including sales performance, customer usage, licensing, and marketing-to provide insights into how our partners drive revenue growth ...

Data Society

EVP, Head of Revenue

Washington, DC · On-site

... our Sales & Marketing teams and positioning our company as a trusted strategic advisor to C-suite executives who are navigating complex data and AI transformations. While your primary charter is ...

Data Society

EVP, Head of Growth

Washington, DC · On-site

... our Sales & Marketing teams and positioning our company as a trusted strategic advisor to C-suite executives who are navigating complex data and AI transformations. While your primary charter is ...

AvePoint

Data Analyst

Arlington, VA · On-site

$85K - $110K/yr

In this role, you will analyze data across our partner ecosystem-including sales performance, customer usage, licensing, and marketing-to provide insights into how our partners drive revenue growth ...

Aggreko

Sales Representative, Data Centers

Washington, DC · Remote

$75K - $85K/yr

Bring your energy to Aggreko as Sales Representative, Data Centers based in Northern Virginia . You'll help drive market penetration, expanding our customer base, and deliver tailored energy, climate ...

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Showing results 21-40

All JobsData Sales JobsData Sales Jobs in Washington

Data Sales information

See Washington salary details

$24

$37

$57

How much do data sales jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for data sales in Washington is $37.87, according to ZipRecruiter salary data. Most workers in this role earn between $29.42 and $47.93 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data sales professional, and why are they important?

To thrive as a Data Sales professional, you need a strong understanding of data products, sales principles, and market analysis, often supported by a background in business, marketing, or a related field. Familiarity with CRM systems, data visualization tools, and analytics platforms like Salesforce or Tableau is typically required. Exceptional communication, negotiation, and relationship-building skills set top performers apart in this role. These skills ensure you can effectively match client needs with data solutions and drive successful sales outcomes in a competitive market.

What is the difference between Data Sales vs Data Analyst?

AspectData SalesData Analyst
Required CredentialsSales experience, knowledge of data products, sometimes certifications in data or salesDegree in data science, statistics, or related field; certifications like Microsoft Data Analyst
Work EnvironmentSales teams, client meetings, business developmentData analysis, reporting, data visualization in office or remote settings
Employer & Industry UsageData providers, tech companies, marketing firmsCorporations, finance, healthcare, research institutions
Common Search & Comparison IntentUnderstanding sales roles in data industryUnderstanding data analysis roles and skills

Data Sales focuses on selling data products and building client relationships, often requiring sales skills and industry knowledge. Data Analysts interpret data, create reports, and support decision-making through analysis. While both roles work with data, Data Sales emphasizes client engagement and sales strategies, whereas Data Analysts concentrate on data interpretation and insights.

How does a data sales professional typically collaborate with technical and product teams to meet client needs?

Data Sales professionals often act as a bridge between clients and internal technical or product teams. They work closely with data engineers, analysts, and product managers to understand client requirements and translate them into tailored data solutions. Successful collaboration relies on strong communication skills, as Data Sales professionals must clearly convey client feedback and ensure deliverables align with expectations. This cross-functional teamwork helps ensure that clients receive accurate, actionable data products while fostering innovation and customer satisfaction.

What is a data sales?

Data Sales refers to the business of selling data or data-related services to other companies, organizations, or individuals. This can include raw data sets, data analytics services, market intelligence, or customized reports derived from collected data. Professionals in data sales identify potential clients, understand their data needs, and offer solutions that help them make informed decisions or gain a competitive edge. The role often requires strong communication skills, technical understanding of data products, and knowledge of relevant industries. Data sales can be found in sectors like finance, marketing, healthcare, and technology.

How to get into data sales?

To enter data sales, develop strong communication and sales skills, and gain knowledge of data products, analytics, and related tools like CRM software. Relevant experience in technology, data management, or marketing can be beneficial, and certifications in data analysis or sales can improve prospects.

What are the most commonly searched types of Data Sales jobs in Washington?

The most popular types of Data Sales jobs in Washington are:

What are popular job titles related to Data Sales jobs in Washington?

For Data Sales jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Data Sales jobs in Washington look for?

The top searched job categories for Data Sales jobs in Washington are:

What cities in Washington are hiring for Data Sales jobs?

Cities in Washington with the most Data Sales job openings:

Data Sales jobs near you
Infographic showing various Data Sales job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $78,775 per year, or $37.9 per hour.

Senior Software Engineer - Chorus

ZoomInfo Technologies LLC

Bethesda, MD • Hybrid

$131K - $172K/yr

Full-time

Posted 19 days ago

Job description

At ZoomInfo, we encourage creativity, value innovation, demand teamwork, expect accountability, and cherish results. We have high aspirations for the company and are looking for the right people to help fulfill the dream.

We're looking for a Senior Software Engineer to join a team that spans two of ZoomInfo's most technically demanding domains. On the Engagement Intelligence side, we process and map customer engagements to CRM entities in real time, supporting some of the largest enterprises on the planet with multinational workforces - millions of engagement data points per day and over a billion pieces of potentially correlated data. On the Chorus Platform side, we power Chorus.ai, a Conversation Intelligence platform that processes and analyzes an enormous volume of sales calls to surface insights on deal health, risk, and next steps for sales managers.

This is a role for an engineer who is energized rather than daunted by breadth: high-volume JVM streaming systems on one side, Python distributed services and third-party integrations on the other, with the seniority to make architectural calls across both and the humility to ramp quickly on whichever stack is less familiar.
 
What you will do
  • Design, build, and deploy complex distributed systems across both domains
  • Build high-volume streaming data processing services using Kafka to handle millions of engagement data points per day
  • Design and implement real-time engagement-to-CRM entity mapping systems
  • Develop robust Java-based microservices that integrate tightly with data storage solutions
  • Build and own Python backend services and RESTful APIs handling millions of customer requests per day
  • Build third-party integrations with major conference providers using their SDKs
  • Own customer-facing aspects of the product end to end, from design through production operation
  • Drive architectural decisions that span both areas - data modeling, service boundaries, performance optimization
  • Help define and promote engineering best practices: design, documentation, code review, monitoring, observability
  • Mentor and train engineers across the team, raising the technical bar in both domains
  • Act as a technical point of contact across teams and personas, translating ambiguous product needs into concrete systems
What you bring
  • 7+ years of industry software development experience; B.S. in Computer Science, Mathematics, Software Engineering, or equivalent
  • Strong hands-on experience in both Java and Python in production settings (deep expertise in one and working proficiency in the other, with a track record of ramping fast on new stacks)
  • 3+ years building distributed systems and microservices at scale
  • 3+ years with streaming data platforms (Kafka strongly preferred)
  • 4+ years of cloud experience (AWS/GCP) - a must
  • Solid experience with both SQL and NoSQL stores (Mongo, Elasticsearch)
  • Strong grasp of RESTful API design standards and event-driven architecture
  • Experience with CI/CD, package management, and release cycles
  • Strong architectural design skills while remaining deeply hands-on
  • Excellent communication skills in English and the interpersonal range to collaborate cross-functionally
  • Demonstrated leadership: mentoring engineers, driving projects independently, taking initiative without being asked
Bonus points
  • Experience with CRM systems (Salesforce, Microsoft Dynamics) and integrating data services with them
  • Apache Kafka ecosystem depth (Kafka Streams, Connect)
  • Spring Boot microservices deployed to cloud
  • Experience with conferencing platform SDKs (Zoom, Teams, Webex, Google Meet)
  • Familiarity with data pipeline orchestration tools
  • Monitoring and observability tooling for streaming systems
  • Data modeling and schema design
  • Previous experience in B2B data, sales intelligence, or conversation intelligence domains

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