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Data Platform Engineer Jobs in Texas (NOW HIRING)

Apptronik

Data Platform Engineer

Austin, TX

$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 robotic ...

MyHR Partner, Inc

Data Platform Engineer

Austin, TX · On-site

$135K - $155K/yr

Description Your Ideal Data Platform Engineer Job * Are you passionate about powering the data behind AI-driven solutions? * Do you thrive on solving large-scale data challenges across structured ...

Apptronik

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 robotic ...

MyHR Partner, Inc

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 solutions? * Do you thrive on solving large-scale data challenges across structured, semi ...

myHR Partner

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 solutions? * Do you thrive on solving large-scale data challenges across structured, semi ...

MyHR Partner, Inc

Data Platform Engineer

Austin, TX · On-site +1

Your Ideal Data Platform Engineer Job * Are you passionate about powering the data behind AI-driven solutions? * Do you thrive on solving large-scale data challenges across structured, semi ...

webAI Inc

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-world data systems and our AI platform. You will create scalable, reusable data connectors and ...

Eitacies Inc

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 ...

Honor

Staff Data Platform Engineer

Austin, TX · Remote

The Opportunity We're looking for a Staff Data Engineer to help shape the future of Honor's data platform. This role is focused on building the foundational data platform that powers analytics ...

Vectra

Senior Data Platform Engineer

Austin, TX · On-site

$121K - $160K/yr

Our Application Data Platform is designed to offer both our internal developers as well as our customers a world class developer experience empowering engineering teams and customers alike to build ...

Inizio Partners

Platform Engineer

Houston, TX · On-site

Seeking a Platform Engineer with strong Python skills to support Cloud and Data Platform project. Primary Responsibilities: * Design, build, and deploy scalable software solutions across GCP and AWS ...

FloSports

Staff Data Platform Engineer

Austin, TX · On-site +1

$113K - $136K/yr

The Staff Data Platform Engineer role at Flo blends Data Engineering, Backend Engineering, and Cloud Engineering into a unique and impactful position. This position is expected to design, build, and ...

Eitacies Inc

Sr GCP Data Engineer

Austin, TX · On-site

$114K - $137K/yr

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

webAI Inc

Senior Data Platform Engineer

Austin, TX · On-site

$105K - $142K/yr

We are looking for a Senior Data Platform Engineer to design and build the connective tissue between real-world data systems and our AI platform. You will create scalable, reusable data connectors ...

INSPYR Solutions

Platform Engineer

Dallas, TX · On-site

Platform Engineer - Cloud Infrastructure Duration: Full Time Location: Dallas, TX - Hybrid Onsite 4 ... Support data platform services including clusters, compute resources, and data governance tooling ...

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All JobsData Platform Engineer JobsData Platform Engineer Jobs in Texas

Data Platform Engineer information

See Texas salary details

$41.5K

$120.9K

$165.4K

How much do data platform engineer jobs pay per year?

As of Jun 26, 2026, the average yearly pay for data platform engineer in Texas is $120,851.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $128,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Platform Engineer position, and why are they important?

To thrive as a Data Platform Engineer, you need a solid understanding of database architectures, data modeling, ETL processes, and programming languages such as SQL, Python, or Scala, often supported by a degree in computer science or a related field. Hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud), big data tools (like Hadoop, Spark), and certifications like AWS Certified Data Analytics or Google Professional Data Engineer are highly valued. Strong problem-solving skills, effective communication, and an ability to work collaboratively within cross-functional teams distinguish top candidates. These skills ensure that data systems are reliable, scalable, and aligned with organizational goals, enabling informed decision-making and innovation.

What is a Data Platform Engineer job?

A Data Platform Engineer designs, builds, and maintains scalable data infrastructure to support analytics, machine learning, and business intelligence. They work with data pipelines, databases, and cloud technologies to ensure efficient data storage, processing, and retrieval. Their role involves optimizing performance, ensuring data security, and enabling reliable data access for engineers and analysts.

What are some typical challenges a Data Platform Engineer may encounter in their day-to-day work?

Data Platform Engineers often navigate challenges such as ensuring high data availability, optimizing system performance, and maintaining data security in evolving cloud or hybrid environments. They frequently address issues related to scaling infrastructure to handle growing data volumes, integrating legacy systems, and automating data pipelines. Collaboration with data scientists, analysts, and software engineers is essential to ensure data solutions meet business requirements. Adapting swiftly to new technologies and troubleshooting complex issues are key parts of the role, making it both dynamic and rewarding for those who enjoy problem-solving.

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 Data Platform Engineer jobs in Texas? For Data Platform Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Data Platform Engineer jobs in Texas look for? The top searched job categories for Data Platform Engineer jobs in Texas are:
What cities in Texas are hiring for Data Platform Engineer jobs? Cities in Texas with the most Data Platform Engineer job openings:
Data Platform Engineer jobs near you
Infographic showing various Data Platform Engineer job openings in Texas as of June 2026, with employment types broken down into 2% As Needed, 84% Full Time, 6% Part Time, 6% Contract, and 2% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $120,851 per year, or $58.1 per hour.
Data Platform Engineer

Data Platform Engineer

Apptronik

Austin, TX

$113K - $136K/yr

Other

Posted 3 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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