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Remote Analytics Engineer Jobs in Houston, TX (NOW HIRING)

Data Engineer

Houston, TX ยท 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.

Structural Engineer

Houston, TX ยท On-site +1

$60 - $90/hr

The position offers flexibility with onsite, hybrid, or remote work arrangements (remote candidates will remain on contract). Job Duties: * Perform structural engineering calculations and analyses ...

Senior Transmission Line Engineer - REMOTE

Houston, TX ยท Remote

$99K - $137K/yr

Title: Senior Transmission Line Engineer Location: Remote US Ready to make a difference? We are ... In this role, you will provide seniorlevel technical expertise, lead complex design and analysis ...

Our team operates detection engineering as code, and we are looking for someone who thrives in a ... Analyze telemetry sources (e.g., Windows Event Logs, Sysmon, cloud logs, network traffic) to ...

Our team of SOC analysts, threat hunters, detection engineers, and threat researchers work around ... remote friendly work environment, as well as training opportunities to expand your skill set (to ...

This is a full-time remote role for an MEP Engineer/Designer. The role involves day-to-day tasks ... problem-solving and analytical skills Excellent communication and teamwork abilities Core ...

This is a full-time remote role for an MEP Engineer/Designer. The role involves day-to-day tasks ... problem-solving and analytical skills Excellent communication and teamwork abilities Core ...

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Showing results 1-20

Remote Analytics Engineer information

See Houston, TX salary details

$43.5K

$89K

$129.4K

How much do remote analytics engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for remote analytics engineer in Houston, TX is $88,984.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,800.00 and $112,700.00 per year, depending on experience, location, and employer.

What are the main challenges faced by remote analytics engineers, and how are they overcome?

Remote Analytics Engineers often encounter challenges such as coordinating across different time zones, maintaining clear communication with team members, and managing large datasets securely from a distance. These are typically addressed by leveraging collaboration tools (like Slack, Jira, or Zoom), following best practices in data security, and setting consistent check-in routines with the team. Additionally, remote engineers often use robust documentation and automated workflows to ensure data quality and project transparency. Building strong relationships and staying proactive in communication helps pave the way for successful collaboration and project delivery.

What is a remote analytics engineer?

A Remote Analytics Engineer is responsible for designing, building, and maintaining the data infrastructure that enables data-driven decision-making. They work with data pipelines, ETL processes, and data warehouses to ensure accurate and efficient data flow. This role typically requires expertise in SQL, Python, and data modeling, as well as experience with cloud platforms and analytics tools. Since the position is remote, strong communication and collaboration skills are essential for working with distributed teams.

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

To thrive as a Remote Analytics Engineer, you should have a strong background in data analysis, data engineering, and statistical modeling, usually supported by a degree in computer science, statistics, or a related field. Expertise in tools like SQL, Python, R, cloud platforms (such as AWS or Google Cloud), and experience with data visualization tools or certifications (e.g., Google Data Analytics) are typically required. Excellent communication, problem-solving abilities, and self-motivation are vital soft skills for effective remote collaboration and delivering analytical insights. These competencies ensure you can manage complex data pipelines, work seamlessly with distributed teams, and provide actionable results that support business decisions.

Can you work remotely in data analytics?

Remote analytics engineers can work from anywhere with a reliable internet connection, as many data analysis tasks involve using cloud-based tools and programming languages like Python or SQL. Employers increasingly offer remote positions, especially for roles that focus on data modeling, visualization, and reporting, often requiring strong communication skills and familiarity with collaboration platforms.
What are the most commonly searched types of Analytics Engineer jobs in Houston, TX? The most popular types of Analytics Engineer jobs in Houston, TX are:
What are popular job titles related to Remote Analytics Engineer jobs in Houston, TX? For Remote Analytics Engineer jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Remote Analytics Engineer jobs in Houston, TX look for? The top searched job categories for Remote Analytics Engineer jobs in Houston, TX are:
What cities near Houston, TX are hiring for Remote Analytics Engineer jobs? Cities near Houston, TX with the most Remote Analytics Engineer job openings:
Infographic showing various Remote Analytics Engineer job openings in Houston, TX as of August 2026, with employment types broken down into 93% Full Time, 2% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $88,984 per year, or $42.8 per hour.

Data Engineer

Metro National Corporation

Houston, TX โ€ข On-site, Remote

$109K - $131K/yr

Other

Posted 10 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 ย ย ย ย ย interactive analytics applications that communicate insights clearly and ย ย ย ย ย effectively across corporate and property groups.
  • Translate business questions and data ย ย ย ย ย patterns into intuitive visualizations and user-friendly analytics ย ย ย ย ย experiences.
  • Develop and maintain web-based analytics ย ย ย ย ย solutions, including embedded dashboards, lightweight applications, and ย ย ย ย ย visualization components.
  • Partner with the Application Development ย ย ย ย ย team to ensure data is structured and exposed in a way that supports ย ย ย ย ย effective visualization and use.
  • Identify trends, patterns, and anomalies in ย ย ย ย ย data and present findings through clear and effective data storytelling.
  • Establish and promote standards for ย ย ย ย ย dashboard design, usability, and visual consistency across analytics ย ย ย ย ย solutions.
  • Work directly with stakeholders to iterate ย ย ย ย ย on solutions and improve adoption, ensuring analytics tools are useful and ย ย ย ย ย easy to use.
  • Integrate AI-enabled capabilities into ย ย ย ย ย dashboards and analytics applications, exploring ways to surface insights ย ย ย ย ย and improve decision-making through AI.
  • Support ongoing enhancements, performance ย ย ย ย ย improvements, and usability updates across existing dashboards and ย ย ย ย ย analytics applications.


SKILLS, QUALIFICATIONS, AND OTHER REQUIREMENTS:ย 

  • 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 ย ย ย ย ย 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 ย ย ย ย ย 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.