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Data Evangelist Jobs (NOW HIRING)

Adobe

Business Architect & AI Evangelist

San Jose, CA · On-site

$71.25 - $92.50/hr

As a Business Architect & AI Evangelist , you will bridge the gap between business strategy and ... Strong data analytics and visualization skills with large datasets, with experience in Excel, Power ...

Adobe Systems

Business Architect & AI Evangelist

San Jose, CA · On-site

$71.25 - $92.50/hr

As a Business Architect & AI Evangelist , you will bridge the gap between business strategy and ... Strong data analytics and visualization skills with large datasets, with experience in Excel, Power ...

Flosum

Salesforce DevOps Evangelist (US)

$70.75 - $87.50/hr

About Flosum Flosum is the 100% Salesforce DevOps, security, and data management platform - built ... The Role We're hiring a Salesforce DevOps Evangelist to be the public face and voice of Flosum ...

Adobe, Inc.

Business Architect & AI Evangelist

San Jose, CA · On-site

$71.25 - $92.50/hr

As a Business Architect & AI Evangelist , you will bridge the gap between business strategy and ... Strong data analytics and visualization skills with large datasets, with experience in Excel, Power ...

Surescripts

Senior Data Scientist

Arlington, VA · On-site

Evangelism: Evangelize within company the capabilities and opportunities that data science and advanced analytics empower towards corporate goals. * Question, validate, and perform quality assurance ...

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How much do data evangelist jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for data evangelist in the United States is $48.56, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $48.80 per hour, depending on experience, location, and employer.

What is a data evangelist?

A Data Evangelist is a professional who promotes the value and benefits of using data within an organization or to external audiences. They help build a data-driven culture by advocating for best practices in data collection, analysis, and decision-making. Data Evangelists often bridge the gap between data teams and non-technical stakeholders, making complex data concepts accessible and actionable. Their role may include conducting workshops, giving presentations, and creating educational content to inspire data adoption.

How does a data evangelist typically collaborate with technical and non-technical teams within an organization?

A Data Evangelist serves as a bridge between technical data teams and non-technical stakeholders by translating complex data concepts into accessible insights. They often work closely with data scientists, engineers, and analysts to understand core data initiatives, then communicate these to business leaders, marketing teams, and external partners through presentations, workshops, and training sessions. This collaborative approach helps foster a data-driven culture and ensures that data solutions align with organizational goals. Data Evangelists also gather feedback from diverse teams to advocate for user-friendly, impactful data solutions.

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

To thrive as a Data Evangelist, you need a solid background in data analytics, data science, and business intelligence, often supported by a degree in a STEM field and experience with big data concepts. Familiarity with tools such as SQL, Python, Tableau, and cloud analytics platforms—as well as certifications like Certified Analytics Professional (CAP)—is highly valued. Exceptional communication, storytelling, and public speaking skills set top candidates apart, enabling them to inspire and educate diverse audiences. These skills and qualities are crucial for bridging the gap between technical teams and stakeholders, driving data-driven culture and adoption across organizations.
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Data Evangelist jobs near you
Infographic showing various Data Evangelist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $101,000 per year, or $48.6 per hour.

Consultant (Data Engineer Skillset)

evolv Consulting

Dallas, TX • On-site

$113K - $136K/yr

Full-time

Re-posted 5 days ago

Job description

Description
Do you want to support innovative clients at the intersection of cutting-edge technologies and impactful relationships?
evolv's culture of integrity, humility, passion, and drive and have been named "Best Places to Work" by Dallas Business Journal in 2021 and 2022, "Top Workplaces" by Dallas Morning News in 2023, ranked #368 on Inc. 5000's list of fastest growing private companies in 2023 and ranked #14 on the 2024 Inc. Regionals: Southwest list of fastest growing private companies in America.
We are seeking a talented and professional Consultant (Data Engineer Skillset) to join our team.
Responsibilities:
  • Lead the design of scalable big data platforms/solutions used to ingest and process accurately scaled traffic data.
  • Build end-to-end solutions that enable business stakeholders, BI engineers, and analysts to self-serve their business intelligence needs.
  • Develop and automate large scale, high-performance, scalable platform (batch and/or streaming) to drive faster analytics.
  • Design large-scale, complex applications and frameworks with excellent run-time characteristics such as low-latency, fault-tolerance, and availability.
  • Build and maintain custom frameworks to support engineering/analytics needs.
  • Partner with analytic consumers and data scientists to build and improve new/existing constructs and solve data engineering problems at scale.
  • Deploy inclusive data quality checks to ensure high quality of data.
  • Evangelize high quality software engineering practices towards building data infrastructure and pipelines at scale.
  • Remain committed to successful delivery to the client on every engagement (success metrics involve deliverables met, client satisfaction, future project recommendations/extensions and collaboration).
  • Prioritize operational excellence by meeting or exceeding all utilization goals.
  • Contribute to evolv's culture and personal development through collaborating well internally, displaying our core values, participating in internal initiatives (events/groups), and/or obtaining new certifications approved by leader.
  • Help grow evolv by providing team member/client referrals and connecting with our internal network.
  • Other duties as assigned.

Requirements:
  • 3+ years of experience as a Data Engineer or in a similar role (data science, business intelligence or business analytics).
  • Experience with SQL, data modeling, data warehousing, and building ETL pipelines.
  • Bachelor's degree or higher in a quantitative/technical field (e.g., Computer Science, Economics, Finance, Mathematics, Statistics, Engineering).
  • Proven track record of independently delivering big data solutions.
  • Ability to manage competing priorities simultaneously and drive projects to completion.
  • Knowledge of continuous integration, testing methodologies, TDD and agile development methodologies.
  • Knowledge of Data formats (Parquet, ORC etc.) and consensus management systems.
  • Exposure to structured or unstructured storage and distributed caching.
  • Experience in open-source technologies is plus.
  • Structured thinking with ability to easily break down ambiguous problems and propose impactful solutions.
  • Attention to detail and effective verbal/written communication skills.

We believe in being inclusive of all people regardless of gender, race, religion, sexual orientation, age, or any attribute not relevant to job performance. We know that an inclusive, equitable and diverse company is a more innovative and successful one. We aim to employ the most talented professionals in the world by casting a wide net to find Team Members with shared values. evolv is committed to creating and maintaining a high-performing workplace in which all Team Members have a fair and just opportunity to contribute to the success of the business and are valued for their skills, experience, and authentic perspectives.
EOE/M/F/D/V

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