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Learning Analytics Jobs in Texas (NOW HIRING)

Apptronik

Data Platform Engineer

Austin, TX

$113.50K - $136.30K/yr

... analytics, and operational reporting. You will work at the intersection of robotics, cloud infrastructure, and machine learning, ensuring data is reliable, well-governed, and accessible across both ...

Gartner

Learning Designer

Irving, TX

The Learning Designer is integral to Gartner's Learning Design team. In this position, you will ... Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and ...

Gartner, Inc.

Learning Designer

Irving, TX · On-site

The Learning Designer is integral to Gartner's Learning Design team. In this position, you will ... Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and ...

Dialpad

CX Learning Experience Designer

Austin, TX

Analyze learning needs and objectives to design effective and results-driven learning experiences. * Create engaging, interactive, and accessible (WCAG 2.0/508) multimedia and instructional learning ...

Gartner

Learning Designer

Irving, TX

The Learning Designer is integral to Gartner's Learning Design team. In this position, you will ... Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and ...

Qorvo, Inc.

Staff Data Science Engineer

Richardson, TX · On-site

Role Summary We are looking for a Staff Data Science Engineer to lead the design and delivery of scalable data science, machine learning, and analytics solutions that create measurable business value ...

Qorvo, Inc.

Staff Data Science Engineer

Richardson, TX · On-site

Role Summary We are looking for a Staff Data Science Engineer to lead the design and delivery of scalable data science, machine learning, and analytics solutions that create measurable business value ...

Black Box

Learning & Development Consultant

Dallas, TX · On-site

Analyze feedback and performance data to improve learning effectiveness * Stay current on sales best practices, methodologies, and enablement trends What we are lookin for - * 2-5 years of experience ...

Ketjen

HRIS Architect, Workday

Houston, TX · On-site

This role ensures the HRIS platform is secure, scalable, globally enabled, and aligned with HR, Payroll, Learning, Analytics, and enterprise IT strategy. The HRIS Architect leads then implementation ...

Dialpad

CX Learning Experience Designer

Austin, TX · Remote

We're now leading the shift to Agentic AI: intelligent agents that don't just analyze conversations ... Your role As a Support Learning Experience Designer (LXD), you will play a pivotal role in creating ...

Balfour Beatty

Learning Coordinator

Dallas, TX · On-site

... analyzing training data to inform decision-making and optimize resource allocation. Embrace key ... Experience working with learning technologies or learning management systems preferred * Experience ...

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$20

$36

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How much do learning analytics jobs pay per hour?

As of May 30, 2026, the average hourly pay for learning analytics in Texas is $36.82, according to ZipRecruiter salary data. Most workers in this role earn between $26.88 and $40.29 per hour, depending on experience, location, and employer.

What is a Learning Analytics job?

A Learning Analytics job involves collecting, analyzing, and interpreting data related to learners' performance and educational experiences. Professionals in this field use data-driven insights to improve teaching strategies, personalize learning experiences, and enhance institutional decision-making. They work with various analytical tools, machine learning models, and data visualization techniques to identify patterns and trends. This role is common in educational institutions, corporate training programs, and EdTech companies.

What are the key skills and qualifications needed to thrive in the Learning Analytics position, and why are they important?

To thrive in Learning Analytics, you need strong analytical skills, experience with data analysis, and a background in educational research or instructional design, typically supported by a relevant degree. Familiarity with Learning Management Systems (LMS), statistical tools like R or Python, and certifications in data analytics are commonly expected. Excellent communication skills, problem-solving abilities, and a collaborative mindset help professionals convey insights and work effectively with educators and administrators. These skills are essential for interpreting educational data, driving improvements in teaching and learning, and supporting data-driven decisions in academic environments.

What are typical daily responsibilities for someone working in Learning Analytics?

Professionals in Learning Analytics typically spend their days collecting, cleaning, and analyzing educational data to identify patterns that can improve student outcomes and learning processes. They work closely with faculty, instructional designers, and IT teams to generate reports, visualize trends, and advise on data-backed strategies for curriculum improvement. Day-to-day tasks also involve maintaining data integrity, developing dashboards, and communicating findings in accessible ways to stakeholders. Collaboration and ongoing learning are integral, as the field continually evolves with advances in education technology and analytical methods.
More about Learning Analytics jobs
What are the most commonly searched types of Learning Analytics jobs in Texas? The most popular types of Learning Analytics jobs in Texas are:
What are popular job titles related to Learning Analytics jobs in Texas? For Learning Analytics jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Learning Analytics jobs in Texas look for? The top searched job categories for Learning Analytics jobs in Texas are:
What cities in Texas are hiring for Learning Analytics jobs? Cities in Texas with the most Learning Analytics job openings:
Learning Analytics jobs near you
Infographic showing various Learning Analytics job openings in Texas as of May 2026, with employment types broken down into 6% As Needed, 76% Full Time, 6% Part Time, 6% Temporary, and 6% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $76,576 per year, or $36.8 per hour.
Data Platform Engineer

Data Platform Engineer

Apptronik

Austin, TX

$113.50K - $136.30K/yr

Other

Posted 6 days ago

Job description

JOB SUMMARY

Apptronik is seeking a Data Platform Engineer to join our Data Platform team. In this role, you will build and maintain the backend systems that ingest, organize, and serve the robotic telemetry, sensor, and training data used across model development, fleet analytics, and operational reporting. You will work at the intersection of robotics, cloud infrastructure, and machine learning, ensuring data is reliable, well-governed, and accessible across both cloud and hybrid deployment environments. Your work will provide critical infrastructure for improving Apollo in development and in production.

ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES

  • Design and maintain backend data services and pipelines for ingesting, processing, and serving telemetry, sensor, and training data generated across development and deployed fleets.
  • Build robust batch and streaming data workflows that integrate on-robot data sources, cloud infrastructure, and enterprise systems.
  • Develop internal APIs and platform tooling that enable machine learning, robotics, and software teams to access trusted data efficiently and securely.
  • Establish data quality, lineage, and governance practices that improve confidence in datasets used for model training, analytics, and operational decision-making.
  • Monitor and optimize storage systems, database performance, and resource utilization to meet scalability, throughput, and latency requirements.
  • Collaborate closely with data scientists, machine learning engineers, robotics engineers, SRE, and security teams to deliver production-ready data infrastructure.
  • Support secure deployment patterns including encryption, access controls, and reliable operation across cloud and hybrid environments.
  • Stay current on data engineering practices, distributed systems design, and emerging technologies relevant to robotics and machine learning platforms.

SKILLS AND REQUIREMENTS

  • Programming: Strong proficiency in Python; experience with Go for backend service implementation is preferred.
  • Data Engineering: Experience with real-time and batch pipeline frameworks such as Kafka, Spark, Airflow, or comparable technologies.
  • Databases: Strong command of relational databases such as PostgreSQL and familiarity with NoSQL stores; experience with time-series data is a plus.
  • Cloud and Infrastructure: Proficiency with cloud platforms and hands-on experience with infrastructure tooling such as Terraform, Helm, or Ansible.
  • Containerization: Experience with Kubernetes and Docker for deploying and scaling backend and data services.
  • Security: Familiarity with encryption, RBAC, and secure service-to-service or user-to-service data access patterns.
  • Monitoring: Experience building observability dashboards and alerting for data pipelines and platform services.
  • API Design: Experience building REST APIs or gRPC services for data access, integration, and internal platform use.
  • Preferred Qualifications:
    • Experience in robotics, autonomous systems, data platforms, or machine learning infrastructure.
    • Familiarity with time-series data stores such as InfluxDB or TimescaleDB for telemetry-heavy workloads.
    • Experience with data catalog, lineage, or governance tooling.
    • Knowledge of streaming architectures and event-driven systems in production environments.

EDUCATION and/or EXPERIENCE

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
  • Minimum of 3 years of professional, full-time experience in data engineering, backend engineering, or a closely related discipline.
  • Experience building data pipelines or platform infrastructure used to support machine learning, analytics, or AI workflows.

PHYSICAL REQUIREMENTS

  • Prolonged periods of sitting at a desk and working on a computer
  • Must be able to lift 15 pounds at times
  • Vision to read printed materials and a computer screen
  • Hearing and speech to communicate

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