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

Sagent

Data Services Engineer SR

Dallas, TX · On-site +1

$113K - $136K/yr

Utilize advanced data preparation, modeling, analysis, and visualization techniques to extract ... Remote/Hybrid workplace options, Health Benefits, Unlimited Flexible Time Off, Family Planning ...

YO AI Labs

AI Data Scientist Expert - Remote

Dallas, TX · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

USAA

Audit Data Analyst - Senior Auditor (I)

Plano, TX · On-site +1

$85K - $162K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Highly skilled in designing visualization analytics and storytelling to communicate datadriven risk ...

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All JobsData Visualization JobsRemote Data Visualization JobsRemote Data Visualization Jobs in Irving, TX

Remote Data Visualization information

See Irving, TX salary details

$51.9K

$105.1K

$155.1K

How much do remote data visualization jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote data visualization in Irving, TX is $105,100.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,400.00 and $118,100.00 per year, depending on experience, location, and employer.

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 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.

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 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.

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.

More about Remote Data Visualization jobs

What are the most commonly searched types of Data Visualization jobs in Irving, TX?

The most popular types of Data Visualization jobs in Irving, TX are:

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For Remote Data Visualization jobs in Irving, TX, the most frequently searched job titles are:

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What cities near Irving, TX are hiring for Remote Data Visualization jobs?

Cities near Irving, TX with the most Remote Data Visualization job openings:

Remote Data Visualization jobs near you
Infographic showing various Remote Data Visualization job openings in Irving, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $105,100 per year, or $50.5 per hour.

Data Services Engineer SR

Sagent

Dallas, TX • On-site, Remote

$113K - $136K/yr

Full-time

Medical, Retirement, PTO

Posted 15 days ago

Job description

Why you'll LOVE Sagent:
You could work anywhere. We know you are talented and looking for something inspiring and impactful. A place where you will make a difference and have a great time doing it!
By choosing Sagent, you can be part of our mission to make loans and homeownership simpler and safer for all consumers.
Sagent powers servicers and consumers. You power Sagent!
Overview:
We are a leading Mortgage Servicing, SaaS-based company that thrives on innovation and excellence. We are currently seeking an experienced Senior Data Services Engineer to design, build, and optimize the data solutions that power our Mortgage Servicing platform. This individual will serve as a technical expert in data engineering, applying strong programming, cloud, and database skills to solve complex business problems and enable data-driven decision making across the organization.
The ideal candidate combines strong software engineering fundamentals with deep expertise in Python, cloud platforms, and database technologies, and brings an understanding of Mortgage Servicing or Financial Services to help ensure technical solutions align with real business and regulatory needs.
Your day-to-day at Sagent:
Data Engineering and Development:
  • Design, build, and maintain scalable data pipelines and services using Python and modern data engineering frameworks.
  • Develop and optimize ETL/ELT processes to extract, transform, and load data from a variety of sources into cloud-based data platforms.
  • Write efficient, well-tested, production-quality code to support data ingestion, transformation, and delivery.

Cloud & Database Engineering:
  • Architect and implement data solutions on cloud platforms (e.g., AWS, Azure, or GCP), leveraging managed services for storage, compute, and orchestration.
  • Design, tune, and maintain relational and NoSQL databases to support high-volume, high-availability data workloads.
  • Monitor and optimize database and pipeline performance, troubleshooting issues to ensure reliability and scalability.

Data Analysis and Insight Generation:
  • Utilize advanced data preparation, modeling, analysis, and visualization techniques to extract insights and knowledge from data.
  • Investigate complex business problems and provide actionable, data-driven insights to support strategic decision-making.

Technical Leadership and Collaboration:
  • Serve as a technical leader, providing guidance and mentorship to junior engineers in data engineering and analysis best practices.
  • Collaborate with cross-functional teams - including Product Management, Business Analysts, and Software Engineering - to design and implement data-driven solutions.

We would love to hear from you if you have:
  • Completion of a four-year college degree in a relevant discipline with 4 years of experience in a related field, or completion of an advanced degree (Masters or higher) in an applicable and relevant field, or equivalent experience will be considered in lieu of a degree.
  • Strong proficiency in Python for data engineering, automation, and analysis including object-oriented design, modular application development, and production-quality coding practices.
  • Experience designing & developing Python based backend services with any of FastAPI/Flask/Django
  • Solid experience on Object oriented practices, APIs, database integrations and dependency management.
  • Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP), including their core data and storage services.
  • Solid experience with relational and/or NoSQL databases, including schema design, query optimization, and performance tuning.
  • Proven experience building and maintaining ETL/ELT pipelines and data workflows.
  • Experience in Mortgage Servicing or Financial Services, with an understanding of how technical solutions support business and regulatory needs.
  • Strong analytical and problem-solving skills.
  • Excellent communication skills and the ability to collaborate effectively across technical and business teams.

Additional Skills/Technical Knowledge Preferred:
  • Experience with big-data technologies such as Databricks, Spark, or Dataproc.
  • Familiarity with data warehouse platforms (e.g., Snowflake, Redshift, or BigQuery).
  • Working knowledge of additional programming languages such as Java, R, Ruby, Scala, or C++.
  • Experience with CI/CD, containerization (Docker/Kubernetes), and infrastructure-as-code.
  • Knowledge of a mortgage servicer's typical technology ecosystem including servicing systems, default systems, workflow management, data integrations, and data warehouses.
  • Experience supporting Agile software development teams.

#LI-AN1
Perks!
As a Sagent Associate, you will be eligible to participate in our benefit programs beginning on Day #1! We offer a comprehensive package including Remote/Hybrid workplace options, Health Benefits, Unlimited Flexible Time Off, Family Planning Services, Tuition Reimbursement, Paid Family Leave, 401(k) Matching, Pet Insurance, In-person and Virtual Social Experiences, Career Pathing, Focus Time Fridays and much, much more!
Why Sagent?
Sagent is transforming the mortgage servicing industry by bringing the modern experience customers now expect from loan originations to loan servicing. Our platform lets customers manage their home-owing lives from anywhere while giving servicers lower costs, scale compliance and higher servicing values through full market cycles.
Sagent is a joint venture that combines Fiserv Inc.'s decades of market-leading fintech expertise with Warburg Pincus' skill in growing technology companies. We hire innovators and doers to disrupt the last and most complex frontier of lending and housing. We're growing fast and need you to help shape our future.
Sagent is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

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