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Live In Data Platform Engineer Jobs in Texas (NOW HIRING)

Data Platform Engineer

Austin, TX · On-site

$113K - $136K/yr

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 ...

Data Platform Engineer

Austin, TX · On-site

$113K - $136K/yr

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 ...

Senior Data Engineer, Data Platform

Austin, TX · Remote

$113K - $136K/yr

... Data Engineer to join us and work with our client\'s Data Platform team. Our client is a leading ... You have to live in the contiguous United States and have all the necessary documentation to work ...

Senior Data Engineer, Data Platform

Austin, TX · Remote

$113K - $136K/yr

... Data Engineer to join us and work with our client\'s Data Platform team. Our client is a leading ... You have to live in the contiguous United States and have all the necessary documentation to work ...

Data Platform Engineer

Austin, TX · On-site

$135K - $155K/yr

Description Your Ideal Data Platform Engineer Job * Are you passionate about powering the data ... Are you fluent in SQL, NoSQL, and distributed architectures? * Can you design and optimize storage ...

Data Platform Engineer

Austin, TX · On-site +1

$135K - $155K/yr

Your Ideal Data Platform Engineer Job * Are you passionate about powering the data behind AI-driven ... Are you fluent in SQL, NoSQL, and distributed architectures? * Can you design and optimize storage ...

Data Platform Engineer

Austin, TX · On-site +1

$135K - $155K/yr

Your Ideal Data Platform Engineer Job * Are you passionate about powering the data behind AI-driven ... Are you fluent in SQL, NoSQL, and distributed architectures? * Can you design and optimize storage ...

Senior Data Engineer, Data Platform

Austin, TX · On-site +1

$113K - $136K/yr

... Data Engineer to join us and work with our client's Data Platform team. Our client is a leading ... You have to live in the contiguous United States and have all the necessary documentation to work ...

Your Ideal Data Platform Engineer Job * Are you passionate about powering the data behind AI-driven ... Are you fluent in SQL, NoSQL, and distributed architectures? * Can you design and optimize storage ...

As a leader in aging care innovation, Honor provides the technology, tools, and services that ... About Us Our mission is simple--we're changing the way we care for our parents so they can live ...

Data Platform Engineer

Austin, TX · On-site

$113K - $136K/yr

We are looking for a Data Platform Engineer to design and build the connective tissue between real ... This role will act in terms of platform primitives, not pipelines. Key Responsibilities: * Design ...

Senior Data Platform Engineer

Austin, TX · On-site

$105K - $143K/yr

Benefits: * 401(k) Senior Data Platform Engineer Onsite Austin, TX We are hiring a Senior Data Platform Engineer for an onsite role in Austin, TX This role requires strong hands-on experience ...

Staff Data Platform Engineer

Austin, TX · On-site +1

$113K - $136K/yr

... live event coverage, breaking news, highlights, stats, rankings, and team and player profiles ... We are growing Our Sports every day by continuing to invest in our ever-expanding ecosystem, which ...

Client is seeking a Platform Engineer with deep expertise in Databricks administration, data governance, and platform‑level engineering standards. This role enables multiple analytics and AI teams ...

Platform Engineer, Data

Austin, TX

$113K - $136K/yr

Position Overview: We are seeking a Data Platform Engineer who combines expert-level data ... In this role, you will go beyond simple data validation scripts; you will apply your understanding ...

Platform Engineer, Data

Austin, TX · On-site

$113K - $136K/yr

Position Overview: We are seeking a Data Platform Engineer who combines expert-level data ... In this role, you will go beyond simple data validation scripts; you will apply your understanding ...

Platform Engineer, Data

Austin, TX · On-site

$113K - $136K/yr

Position Overview: We are seeking a Data Platform Engineer who combines expert-level data ... In this role, you will go beyond simple data validation scripts; you will apply your understanding ...

Platform Engineer, Data

Austin, TX · On-site

$113K - $136K/yr

Position Overview: We are seeking a Data Platform Engineer who combines expert-level data ... In this role, you will go beyond simple data validation scripts; you will apply your understanding ...

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Live In Data Platform Engineer information

How much do data platform engineers make?

Data platform engineers typically earn a median salary ranging from $100,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in cloud platforms and big data tools can earn higher compensation, often exceeding $180,000 per year.

Can I make 200K as a data engineer?

A Live In Data Platform Engineer can potentially earn $200,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, data architecture, and big data tools, as well as in high-demand industries or senior roles. Compensation varies based on location, company size, and individual expertise, with senior or specialized engineers often reaching or exceeding this salary level.

What is the difference between Live In Data Platform Engineer vs Data Engineer?

AspectLive In Data Platform EngineerData Engineer
CredentialsBachelor's in CS, Data Science, or related; certifications like AWS, Azure, or GCPBachelor's in CS, IT, or related; certifications like AWS, GCP, or Hadoop
Work EnvironmentOn-site/live-in setup, often in remote or rural locations, supporting real-time data systemsOffice-based or remote, focusing on data pipeline development and management
Industry UsageUsed in industries requiring constant on-site data monitoring, such as energy or remote facilitiesCommon across tech, finance, healthcare, and other sectors for data infrastructure

The Live In Data Platform Engineer specializes in maintaining real-time data systems in on-site or remote environments, often requiring a live-in presence. In contrast, Data Engineers focus on building and managing data pipelines across various industries, typically working remotely or in-office. Both roles require similar technical skills but differ mainly in work setting and specific responsibilities.

What engineers make $300,000 a year?

Senior data platform engineers, especially those with expertise in large-scale data systems, cloud infrastructure, and advanced programming skills, can earn $300,000 or more annually. High compensation often requires extensive experience, specialized certifications, and leadership responsibilities within organizations that rely heavily on data infrastructure.

What engineer makes $500,000 a year?

A Live In Data Platform Engineer can earn $500,000 annually, especially with extensive experience, specialized skills in cloud platforms, data architecture, and high-demand environments. Such compensation often includes base salary, bonuses, and stock options in large tech companies or startups with significant data infrastructure needs.
What are the most commonly searched types of Data Platform Engineer jobs in Texas? The most popular types of Data Platform Engineer jobs in Texas are:
What are popular job titles related to Live In Data Platform Engineer jobs in Texas? For Live In Data Platform Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Live In Data Platform Engineer jobs in Texas look for? The top searched job categories for Live In Data Platform Engineer jobs in Texas are:
What cities in Texas are hiring for Live In Data Platform Engineer jobs? Cities in Texas with the most Live In Data Platform Engineer job openings:
Data Platform Engineer

Data Platform Engineer

Apptronik

Austin, TX • On-site

$113K - $136K/yr

Other

Re-posted 17 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