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Live In Data Platform Engineer Jobs in Rockwall, TX

Prophecy Technologies

AWS Data Platform Engineer

Dallas, TX · On-site

$113K - $136K/yr

This role will be instrumental in building the foundation of our enterprise data platform, enabling ... data engineering frameworks that support enterprise-scale analytics and AI initiatives. • ...

INSPYR Solutions

Platform Engineer

Dallas, TX · On-site

... in regulated or enterprise-scale environments • Exposure to data engineering or AI/ML platforms ... • Experience building reusable infrastructure modules • Familiarity with security and ...

INSPYR Solutions

Platform Engineer

Dallas, TX · On-site

... in regulated or enterprise-scale environments • Exposure to data engineering or AI/ML platforms ... • Experience building reusable infrastructure modules • Familiarity with security and ...

T-Mobile

Platform Engineer

Frisco, TX · On-site

At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big ... Develop, execute, and tune DML logic - queries, data migrations, transformations, and batch ...

Lennar

Lead Data Engineer

Irving, TX · Remote

$98K - $129K/yr

... we work and live in, and fostering a culture of opportunity and growth for our Associates ... The Lead Data Engineer will provide technical leadership to our data platform engineering team.

Lennar

Lead Data Engineer

Irving, TX · On-site +1

$98K - $129K/yr

... we work and live in, and fostering a culture of opportunity and growth for our Associates ... The Lead Data Engineer will provide technical leadership to our data platform engineering team.

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All JobsLive In Data Platform Engineer JobsLive In Data Platform Engineer Jobs in Rockwall, TX

Live In Data Platform Engineer information

See Rockwall, TX salary details

$41.4K

$120.6K

$165K

How much do live in data platform engineer jobs pay per year?

As of Jul 30, 2026, the average yearly pay for live in data platform engineer in Rockwall, TX is $120,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,500.00 and $127,800.00 per year, depending on experience, location, and employer.

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 job categories do people searching Live In Data Platform Engineer jobs in Rockwall, TX look for? The top searched job categories for Live In Data Platform Engineer jobs in Rockwall, TX are:
What cities near Rockwall, TX are hiring for Live In Data Platform Engineer jobs? Cities near Rockwall, TX with the most Live In Data Platform Engineer job openings:
Live In Data Platform Engineer jobs near you
Infographic showing various Live In Data Platform Engineer job openings in Rockwall, TX as of July 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 100% In-person job distribution, with an average salary of $120,605 per year, or $58 per hour.

AWS Data Platform Engineer

Prophecy Technologies

Dallas, TX • On-site

$113K - $136K/yr

Full-time

Posted 15 days ago

Job description

Hi
We are seeking an experienced AWS Data Platform Engineer to design, build, and operate enterprise-grade data pipelines across both on-premises and AWS cloud environments. This role will be instrumental in building the foundation of our enterprise data platform, enabling secure, scalable, and governed data ingestion, processing, and analytics. The ideal candidate has hands-on experience developing distributed data pipelines, deploying cloud-native infrastructure, and integrating data from diverse enterprise systems while adhering to security, governance, and operational best practices.
Key Responsibilities
• Design, develop, and maintain scalable data pipelines across hybrid (on-premises and AWS) environments.
• Build and optimize streaming and batch data ingestion pipelines for structured and unstructured data.
• Develop reusable data engineering frameworks that support enterprise-scale analytics and AI initiatives.
• Integrate data from multiple enterprise sources, including:
• IoT and sensor data
• Finance and ERP systems
• Procurement applications
• Security and audit logs
• Operational databases
• APIs and event streams
• Deploy and manage cloud-native data infrastructure using Infrastructure as Code (Terraform).
• Build secure, governed data platforms following enterprise security and data governance standards.
• Implement CI/CD pipelines and automate deployments for data platform components.
• Collaborate with architecture, security, DevOps, and business teams to deliver reliable, scalable data solutions.
Required Technical Skills
• Python
• SQL
• Terraform (Infrastructure as Code)
• Apache Kafka
• Apache Flink
• Apache Beam
• Apache Spark
• Apache Airflow
• Kubernetes (Amazon EKS)
• Trino and/or Amazon Athena
• Amazon S3
• AWS Lambda
• AWS IAM
• AWS Lake Formation
• GitHub
• Harness
• JFrog
• Argo CD
Preferred Skills
• Experience building enterprise data platforms in hybrid cloud environments.
• Experience with event-driven and streaming architectures.
• Knowledge of distributed systems and large-scale data processing.
• Strong understanding of AWS networking, security, IAM, VPCs, and data governance.
• Experience with monitoring, observability, and production support for data platforms.
• Familiarity with enterprise architecture patterns and metadata-driven data platforms.

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