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Remote Analytics Engineer Jobs in Prairie Hill, TX

Remote Position Type: Full-Time Position Summary The Director of Revenue Operations reports to the ... This leader will manage a team of Go-To-Market Engineers and Sales Operations Representatives ...

Remote Position Type: Full-Time Position Summary The Director of Revenue Operations reports to the ... This leader will manage a team of Go-To-Market Engineers and Sales Operations Representatives ...

Remote Position Type: Full-Time Position Summary The Director of Revenue Operations reports to the ... This leader will manage a team of Go-To-Market Engineers and Sales Operations Representatives ...

Remote Position Type: Full-Time Position Summary As a Product Manager at AxisCare, you will own the ... You will work closely with Engineering, UX, and cross-functional partners to deliver outcomes that ...

Remote Position Type: Full-Time Position Summary As a Product Manager at AxisCare, you will own the ... You will work closely with Engineering, UX, and cross-functional partners to deliver outcomes that ...

Remote Position Type: Full-Time Position Summary As a Product Manager at AxisCare, you will own the ... You will work closely with Engineering, UX, and cross-functional partners to deliver outcomes that ...

Director of Biostatistics

Waco, TX ยท Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... p-values, analysis populations, and missing data handling in alignment with the statistical ...

... remote engagement. * This role expands organizational capacity while preserving field-based ... programming and in-clinic responsibilities. * Leveraging internal tools and other support platforms ...

Optional Remote / In-Office Preferred (Company Headquarters, Waco, TX) Role Type: Full-Time Summary ... Proven ability to analyze support operations and identify opportunities to improve customer ...

Remote Analytics Engineer information

See Prairie Hill, TX salary details

$39.4K

$80.8K

$117.5K

How much do remote analytics engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for remote analytics engineer in Prairie Hill, TX is $80,778.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,700.00 and $102,300.00 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 cities near Prairie Hill, TX are hiring for Remote Analytics Engineer jobs? Cities near Prairie Hill, TX with the most Remote Analytics Engineer job openings:
Infographic showing various Remote Analytics Engineer job openings in Prairie Hill, TX as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $80,778 per year, or $38.8 per hour.

Building Controls Application Engineer

Mantis Innovation

Waco, TX โ€ข Remote

$120K - $130K/yr

Full-time

Re-posted 16 days ago


Job description

Position: Controls Application Engineer 
Start Date: Immediate 
 
As a Controls Application Engineer, you will be responsible for developing BMS/SCADA applications at both a supervisory and controller level. You will help refine engineering standards and provide remote support to project and field teams. You will also be involved in providing support across multiple engineering functions within the Controls Engineering group. You should be familiar with both DDC and PLC programming, BACnet & Modbus integrations, and have experience with building graphical front-end client interfaces.
Controls Application Engineering
  • This position will report to the Controls Engineering Manager.
  • Develop BMS applications across multiple platforms: e.g., Niagara, Ignition, Wonderware, Distech, PLC's.
  • Support the development and enforcement of engineering standards for programming, graphics, alarming, tagging, history management, and database creation. 
  • Provide remote technical support to Project Managers and Field Engineers during project execution. 
Qualifications
  • 10+ years of experience in the engineering field, preferably in Building Automation or Controls Engineering. 
  • 5+ years of BMS application development experience, with mission critical experience preferred. 
  • Strong knowledge of DDC control theory & HVAC applications and the ability to apply these principles to real-world scenarios. 
  • Basic networking knowledge; addressing & subnetting, IP + serial device configurations.
  • Comfortable working with industry standard protocol integrations such as: BACnet, Modbus, Ethernet/IP, SNMP, MQTT.
  • Basic networking knowledge, including manipulating PC settings to set up and commission devices on a network. 
  • Experience with servers, network equipment, and IoT practices, specifically for BMS applications. 
  • 2+ years of experience with Niagara platform (Niagara N4 certification is preferred).
  • Familiarity with Distech field controllers and GFX programming, Ignition SCADA, Wonderware, and PLC systems.
  • Proficiency in Microsoft Office Suite.
Competencies
  • Must be able to work independently and in a team, handling multiple tasks across different projects. 
  • Strong troubleshooting skills, with the ability to identify problems and develop effective solutions. 
  • Knowledge of the construction contracting industry, especially in MEP fields, with experience in mission-critical environments a plus. 
  • Understanding of Mechanical and Electrical equipment in typical Mission Critical environments.
This role will provide the opportunity to work in a dynamic and fast-paced environment, where you will gain valuable experience with cutting-edge technologies and play a pivotal role in the successful completion of projects 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.