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Remote Data Visualization Jobs in Tomball, TX (NOW HIRING)

... our customers Data Visualization: Ensure vast quantities of geospatial and tabular data are ... A fully remote role within a collaborative environment, plus optional access to our Houston office.

As a Arsenault Data Analyst, you will be responsible for analyzing new datasets and creating business rules for transformation into our products. You will also be responsible for ensuring quality ...

Coordinate external data services and development with providers and conduct regular market research on remote monitoring and data analytics methods to continuously improve EHC efficiency and ...

Data Scientist

Houston, TX · Remote

$60 - $65/hr

... Data Scientist ... Location: Remote. Pay: 65/hr W2 only. Prefer someone from the Retail domain with customer ...

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Showing results 1-20

Remote Data Visualization information

See Tomball, TX salary details

$51.1K

$103.6K

$152.9K

How much do remote data visualization jobs pay per year?

As of May 28, 2026, the average yearly pay for remote data visualization in Tomball, TX is $103,620.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,200.00 and $116,400.00 per year, depending on experience, location, and employer.

What Are Remote Data Visualization Jobs?

A remote data visualization job allows you to work from home while assisting with the process of data visualization projects for a company. Your responsibilities may include reviewing analytics, creating engaging and interactive tools, portraying data in a visual way, developing presentations, interpreting data, and collaborating with other departments. You handle modeling, create charts and graphic depictions, gather datasets, produce reports, measure performance, and fulfill additional project duties as needed. You can find data visualization positions in various industries. Data visualization specialist, data visualization analyst, data visualization engineer, and data visualization director are some common job titles.

What are the key skills and qualifications needed to thrive as a Remote Data Visualization Specialist, and why are they important?

To thrive as a Remote Data Visualization Specialist, you need a strong background in data analysis, statistical concepts, and visual storytelling, often supported by a degree in computer science, statistics, or a related field. Expertise in tools such as Tableau, Power BI, or D3.js, as well as proficiency with programming languages like Python or R, is typically required. Excellent communication, creativity, and problem-solving skills help you convey complex data insights clearly and collaborate effectively with remote teams. These competencies are crucial for transforming raw data into actionable insights that drive informed business decisions in a virtual work environment.

How do remote data visualization specialists typically collaborate with cross-functional teams to deliver insights?

Remote data visualization specialists often work closely with data analysts, engineers, and business stakeholders via virtual collaboration tools. Regular video meetings, shared dashboards, and real-time feedback channels help ensure that visualizations align with project goals and stakeholder needs. Clear communication and documentation are essential for managing expectations and iterating on designs. Building strong relationships with distributed teams and being proactive in seeking and providing feedback are key to delivering effective data-driven stories.

What is remote data visualization?

Remote data visualization refers to the practice of creating interactive charts, graphs, and dashboards to represent data insights, while working outside of a traditional office environment. Professionals in this field use tools like Tableau, Power BI, or D3.js to help organizations make informed decisions by presenting complex data in an understandable visual format. Working remotely allows data visualization specialists to collaborate with teams across different locations using cloud-based platforms and virtual communication tools.

What is the difference between Remote Data Visualization vs Remote Data Analyst?

AspectRemote Data VisualizationRemote Data Analyst
Required CredentialsDegree in Data Science, Computer Science, or related field; proficiency in visualization toolsDegree in Data Analysis, Statistics, or related; strong analytical skills
Work EnvironmentPrimarily focused on creating visual representations of data, often using tools like Tableau, Power BIAnalyzing datasets, generating reports, and providing insights, often using Excel, SQL, and statistical software
Industry UsageUsed across tech, finance, marketing, and consulting firms for presenting data insights visuallyCommon in finance, healthcare, retail, and marketing for data interpretation and decision-making

Remote Data Visualization specialists focus on designing visual data representations to communicate insights effectively, while Remote Data Analysts analyze data sets to generate actionable insights. Both roles require analytical skills, but their core tasks and tools differ, making them distinct yet complementary positions in data-driven organizations.

What are popular job titles related to Remote Data Visualization jobs in Tomball, TX? For Remote Data Visualization jobs in Tomball, TX, the most frequently searched job titles are:
What job categories do people searching Remote Data Visualization jobs in Tomball, TX look for? The top searched job categories for Remote Data Visualization jobs in Tomball, TX are:
What cities near Tomball, TX are hiring for Remote Data Visualization jobs? Cities near Tomball, TX with the most Remote Data Visualization job openings:
Infographic showing various Remote Data Visualization job openings in Tomball, TX as of May 2026, with employment types broken down into 3% As Needed, 19% Full Time, 60% Part Time, 1% Temporary, 16% Contract, and 1% Nights. Highlights an 11% Physical, 7% Hybrid, and 82% Remote job distribution, with an average salary of $103,620 per year, or $49.8 per hour.
Senior Full-Stack Engineer

Senior Full-Stack Engineer

SynMax

Houston, TX • On-site, Remote

Full-time

Medical, Dental, Vision

Posted 18 days ago


Job description

About Us
 
We are a growing company that distills insights from satellite imagery and various other geospatial data sources into actionable intelligence for energy companies, financial market actors, and government agencies. We are looking for an experienced engineer to join our technical team and help shape our product trajectory.
 
The Role
 
We are looking for a Senior Full-Stack Engineer who embraces AI agents to supercharge their workflows. Partnering with other developers on large-scale projects, you will leverage your deep technical expertise to rapidly prototype and develop solutions across our backend and frontend systems to power our products.
 
Key Responsibilities
 
System Architecture: Design scalable near-real-time data streams, integrating data from multiple sources into analytics pipelines and relational databases.
Data Management and Access Optimization: Improve robustness and performance of our SQL DB setup to facilitate high performance inserts of our data streams and API reads for our customers
Data Visualization: Ensure vast quantities of geospatial and tabular data are visually explorable in a reproducible, performant format.
Accelerate Development: Utilize AI coding agents to assist in the Software Development Life Cycle (SDLC) and help establish best practices for agentic workflows.
Cross-Functional Support: Work alongside software engineers and data scientists, providing programming and infrastructure support for MLOps and data science initiatives.
Technical Direction: Help shape our engineering direction by implementing robust data management practices and staying current on emerging technologies in data processing.
Ensure Code Quality: Refactor, profile, and optimize codebases. Implement rigorous integration testing, debugging, and deployment automation for cloud microservices.
 
The Tech Stack
 
Cloud: Google Cloud Platform (GCP)
Backend & Data: Python (API First), Postgres
Frontend & Middle-Tier: TypeScript (React)
Minimum Qualifications
  • Work Authorization: Must be a US Citizen or US Permanent Resident.
  • Location/Timezone: Must be located and working within Central Time (CT) or Eastern Time (ET) zones (no West Coast/Pacific Time).
  • Education: BS degree in a STEM field.
  • Experience: 4+ years in a full-stack software engineering role, with a strong focus on data engineering.
  • Cloud Experience: 2+ years of hands-on experience in modern Cloud Systems (GCP, AWS, or Azure).
  • Core Languages: Production-grade proficiency in Python and TypeScript.
  • Technical Expertise: In-depth understanding of software engineering best practices, performant frontend interfaces, relational database design/optimization, and scalable API design.
  • AI Workflows: Experience with (or a strong, demonstrated interest in) adapting the SDLC for AI-assisted development.
  • Communication: Strong communication and coordination skills tailored for a distributed team environment spanning US and UK.
 
Preferred Qualifications
  • Domain knowledge in the Energy, Oil & Gas sectors.
  • Experience with geospatial data processing tools and databases.
  • Familiarity with additional languages, such as Go, Rust or C#.
What we offer
  • Compensation: Competitive salary and comprehensive benefits (medical, dental, vision).
  • Growth: Opportunities for career advancement as technical team member.
  • Flexibility: A fully remote role within a collaborative environment, plus optional access to our Houston office.
  • Impact: Direct involvement in products utilized by major players in the energy sector and government.
  • Continuous Learning: Mentorship from technical leaders
 
How To Apply
 
Please submit your resume and relevant project portfolios or GitHub repositories. We are particularly interested in examples where you have built scalable APIs, integrated diverse data sources, or developed internal tooling.
 
Note: We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job

SynMax logo

About SynMax

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing

Company size

11 - 50 Employees

Headquarters location

Houston, TX, US

Year founded

2021