2

Remote Senior Data Engineer Jobs in Texas (NOW HIRING)

Data Engineer

Houston, TX · On-site +1

$109K - $131K/yr

Remote candidates will not be considered. We do not Sponsor Visa's SUMMARY: MetroNational is ... We are seeking a skilled Data Visualization & Analytics Engineer to join our data management team.

The Role: We're hiring a Senior Data Scientist to embed within the marketing and growth function ... This role sits at the intersection of data engineering, modeling, and storytelling. You'll work ...

Sr Data Scientist GenAI

Dallas, TX · On-site +1

$150K - $210K/yr

... Engineers, MLOps, software engineering, product, compliance, legal etc., to move models from ... This position is temporarily remote. Compensation: $150,000.00 - $210,000.00 per year About Us We ...

Senior Data Product Manager

Crystal City, TX · On-site +1

$110K - $145K/yr

Leads collaboration with a cross-functional team of data engineers, analytics engineers, BI ... remote candidates across the U.S., we will prioritize those who live in the Washington-Baltimore ...

Lead Data Engineer

Irving, TX · On-site +1

$109K - $132K/yr

Within COO Technology, Wells Fargo is seeking a Lead Data Engineer to help shape and scale our ... Hybrid schedule (3 days in office, 2 days remote) * Work Transparently: You always deal in an ...

STC Health, a division of Harris; is seeking a Senior Manager, Operations who will lead our DevOps, ... usage data, cost modeling, and risk assessment to the table. * Identify consolidation ...

STC Health, a division of Harris; is seeking a Senior Manager, Operations who will lead our DevOps, ... usage data, cost modeling, and risk assessment to the table. * Identify consolidation ...

Senior Data Analyst

Irving, TX · Remote

$79K - $100K/yr

Senior Data Analyst Job Requisition: 6630.7570.5 Job Location: 6021 Connection Drive, Irving, TX ... Employer requires a Master's degree in Computer Science, Engineering, Information Technology or ...

Showing results 41-60

Remote Senior Data Engineer information

What is the difference between Remote Senior Data Engineer vs Data Scientist?

AspectRemote Senior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science or related fields, certifications
Work EnvironmentData pipelines, ETL processes, cloud platformsData analysis, modeling, visualization tools
Industry UsageTech, finance, healthcare, e-commerceTech, marketing, research, finance

Remote Senior Data Engineers focus on building and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles often collaborate but serve different functions within data teams. Understanding these differences helps in choosing the right career path or job search focus.

What is a remote senior data engineer?

Remote Senior Data Engineers are experienced professionals who design, build, and maintain complex data systems and pipelines, but work from a location outside of the company's main office. They are responsible for ensuring reliable data flow, optimizing data storage, and supporting analytics, often collaborating with teams across different time zones. Their role typically involves advanced programming, data architecture, and the implementation of best practices in data engineering, all while working remotely. This position demands strong technical skills, excellent communication, and the ability to work independently.

How does a remote senior data engineer typically collaborate with distributed teams to ensure data pipeline reliability?

As a Remote Senior Data Engineer, collaboration with cross-functional, distributed teams is usually facilitated through agile project management tools, regular video meetings, and shared documentation platforms. You’ll often work closely with data scientists, analysts, and DevOps engineers to design, build, and maintain scalable data pipelines. Clear communication and proactive status updates are essential to ensure everyone stays aligned and issues are addressed quickly. Leveraging version control systems and automated testing also helps maintain the reliability and quality of the data infrastructure across different time zones.

What are the key skills and qualifications needed to thrive as a remote senior data engineer?

To thrive as a Remote Senior Data Engineer, you need advanced expertise in data engineering concepts, SQL, and programming languages like Python or Scala, along with a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data frameworks (like Spark or Hadoop), and relevant certifications are typically required. Excellent problem-solving, communication, and self-management skills are crucial for collaborating remotely and driving projects independently. These competencies ensure robust data pipelines, effective teamwork, and successful delivery of scalable data solutions in distributed environments.
What are the most commonly searched types of Senior Data Engineer jobs in Texas? The most popular types of Senior Data Engineer jobs in Texas are:
What job categories do people searching Remote Senior Data Engineer jobs in Texas look for? The top searched job categories for Remote Senior Data Engineer jobs in Texas are:
What cities in Texas are hiring for Remote Senior Data Engineer jobs? Cities in Texas with the most Remote Senior Data Engineer job openings:
Infographic showing various Remote Senior Data Engineer job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

$109K - $131K/yr

Other

Posted 8 days ago


Job description

Description

Position is located onsite in Houston, Texas. Remote candidates will not be considered. We do not Sponsor Visa's


SUMMARY: MetroNational is modernizing its data and analytics capabilities to foster a data-driven culture. We are seeking a skilled Data Visualization & Analytics Engineer to join our data management team. This role plays a key part in delivering MetroNational's analytics experience by translating data into clear, intuitive, and actionable visual solutions. The role combines strong data understanding with a focus on visualization, dashboard design, and web-based analytics delivery. Working closely with business stakeholders, data engineers, and product partners, this position is responsible for building dashboards, interactive applications, and data-driven experiences that make insights accessible and useful across the organization. The ideal candidate brings both analytical rigor and a strong eye for visual design, with a focus on creating solutions that are easy to use, tell a clear story, and support better decision-making.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

  • Design and deliver dashboards, reports, and      interactive analytics applications that communicate insights clearly and      effectively across corporate and property groups.
  • Translate business questions and data      patterns into intuitive visualizations and user-friendly analytics      experiences.
  • Develop and maintain web-based analytics      solutions, including embedded dashboards, lightweight applications, and      visualization components.
  • Partner with the Application Development      team to ensure data is structured and exposed in a way that supports      effective visualization and use.
  • Identify trends, patterns, and anomalies in      data and present findings through clear and effective data storytelling.
  • Establish and promote standards for      dashboard design, usability, and visual consistency across analytics      solutions.
  • Work directly with stakeholders to iterate      on solutions and improve adoption, ensuring analytics tools are useful and      easy to use.
  • Integrate AI-enabled capabilities into      dashboards and analytics applications, exploring ways to surface insights      and improve decision-making through AI.
  • Support ongoing enhancements, performance      improvements, and usability updates across existing dashboards and      analytics applications.


SKILLS, QUALIFICATIONS, AND OTHER REQUIREMENTS

  • Strong ability to design clear, intuitive, and visually effective dashboards and data experiences.
  • Proficiency with modern visualization tools such as Domo, Power BI, or Tableau, including embedding or integrating them into broader applications.
  • Working knowledge of SQL and data analysis concepts, with the ability to explore and understand data patterns.
  • Experience building or supporting web-based analytics experiences, including exposure to frameworks such as React or similar front-end technologies preferred.
  • Strong understanding of data storytelling and how to guide users toward insights through design and interaction.
  • Demonstrated interest in applying AI within analytics and visualization experiences, with a willingness to experiment, learn, and      incorporate AI-driven insights into dashboards, applications, and workflows where they create business value.
  • Ability to translate business needs into practical, user-friendly solutions, balancing analytical depth with usability.
  • Strong communication and collaboration skills, with the ability to work effectively across technical teams and business stakeholders.
  • Attention to detail and a focus on consistency, usability, and adoption across analytics solutions.
  • Familiarity with Agile and SDLC methodologies.
  • Ability to manage multiple projects and priorities simultaneously.


Requirements

EDUCATION AND REQUIRED EXPERIENCE:

  • Bachelor's degree, advance degree a plus.
  • 5+ years of hands-on experience in data engineering within complex organizations.
  • Experience in Real Estate and Property Management industry is a plus.

SKILLS, QUALIFICATIONS, AND OTHER REQUIREMENTS:

  • Strong ability to design clear, intuitive, and visually effective dashboards and data experiences.
  • Proficiency with modern visualization tools such as Domo, Power BI, or Tableau, including embedding or integrating them into broader applications.
  • Working knowledge of SQL and data analysis concepts, with the ability to explore and understand data patterns.
  • Experience building or supporting web-based analytics experiences, including exposure to frameworks such as React or similar front-end technologies preferred.
  • Strong understanding of data storytelling and how to guide users toward insights through design and interaction.
  • Demonstrated interest in applying AI within analytics and visualization experiences, with a willingness to experiment, learn, and      incorporate AI-driven insights into dashboards, applications, and workflows where they create business value.
  • Ability to translate business needs into practical, user-friendly solutions, balancing analytical depth with usability.
  • Strong communication and collaboration skills, with the ability to work effectively across technical teams and business stakeholders.
  • Attention to detail and a focus on consistency, usability, and adoption across analytics solutions.
  • Familiarity with Agile and SDLC methodologies.
  • Ability to manage multiple projects and priorities simultaneously.