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Data Platform Engineer Jobs in Dallas, TX (NOW HIRING)

FyrFly Venture Partners

Platform Engineer I

Coppell, TX · On-site

$80 - $100/hr

Outside of incident response, you'll build dashboards, improve monitoring, develop automation, analyse operational data, and engineer intelligent tooling that continuously improves platform ...

DTCC

Platform Engineer

Coppell, TX · On-site

The Platform Hosting & Engineering role specializes in the development, implementation, and support ... Manage and optimize AWS EMR clusters for large-scale data processing, ensuring efficient resource ...

Saransh Inc

Data Architect - Revenue Data Platform

Dallas, TX · On-site

$63 - $81/hr

Design solutions leveraging modern data platforms including Azure, Snowflake, Databricks, and AWS Collaborate closely with engineering teams to ensure hands-on alignment and execution Incorporate ...

Armaninollp

Senior Data & AI Platform Engineer

Dallas, TX

$66.50 - $89/hr

This is a senior engineering role. You will architect, operate, and continuously improve cloud data and analytics platforms (e.g., Microsoft Fabric, Snowflake, Databricks) and own BI delivery ...

1 point system

Sr. Platform AI Engineer

Dallas, TX · On-site

Strong expertise in Python development (core language for AI and data science). * Proven experience with AI/ML platform engineering or enterprise-scale data platforms. * Familiarity with Copilot ...

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Showing results 41-60

All JobsData Platform Engineer JobsData Platform Engineer Jobs in Dallas, TX

Data Platform Engineer information

See Dallas, TX salary details

$44.2K

$128.9K

$176.3K

How much do data platform engineer jobs pay per year?

As of Aug 31, 2026, the average yearly pay for data platform engineer in Dallas, TX is $128,866.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,700.00 and $136,600.00 per year, depending on experience, location, and employer.

What is a data platform engineer?

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 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 are the most commonly searched types of Data Platform Engineer jobs in Dallas, TX?

The most popular types of Data Platform Engineer jobs in Dallas, TX are:

What are popular job titles related to Data Platform Engineer jobs in Dallas, TX?

For Data Platform Engineer jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Data Platform Engineer jobs in Dallas, TX look for?

The top searched job categories for Data Platform Engineer jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Data Platform Engineer jobs?

Cities near Dallas, TX with the most Data Platform Engineer job openings:

Data Platform Engineer jobs near you
Infographic showing various Data Platform Engineer job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $128,866 per year, or $62 per hour.

AI Platform Engineer

Accord Technologies Inc.

Dallas, TX • On-site

Contractor

Re-posted 8 days ago

Job description

AI Platform  Engineer 
Location: Dallas, TX, Charlotte, NC
Position type: W2 contract.
Visa: Any visa independent
 
 
We are looking for an Platform AI Engineer  a builder who can architect the "factory" where AI is made.
Our goal is to build an internal, on-premises AI ecosystem that mimics the capabilities of AWS or Azure. You will be responsible for creating a horizontal platform used by various lines of business to deploy AI projects simultaneously.
Key Responsibilities
  • Platform Architecture: Design and develop a "Model-as-a-Service" platform that allows non-experts to use drag-and-drop components to build AI solutions.
  • RAG-as-a-Service: Build and optimize end-to-end Retrieval-Augmented Generation (RAG) pipelines, including sophisticated chunking strategies and vector database management.
  • Tooling & Libraries: Develop and maintain MCP (Model Control Protocol) libraries, clients, and servers to connect various data sources to the AI engine.
  • Infrastructure Management: Help manage and optimize one of the largest on-premise GPU farms in the U.S. banking sector (500+ Nvidia nodes).
  • Agentic AI: Build a repository for Agentic AI where users can select existing agents or build custom ones for specialized tasks.
  • CI/CD Integration: Integrate AI deployment pipelines with enterprise-level CI/CD tools like Jenkins and Ansible.
  • Compliance & Guardrails: Implement corporate-level guardrails and work within Model Risk Management (MRM) frameworks to ensure all AI deployments are secure and compliant.
Required Technical Skills
  • Expert Python: Deep, hands-on knowledge is mandatory.
  • Data Engineering: Extensive experience in massive data ingestion and processing.
  • RAG Expertise: Deep understanding of vector databases, inferencing, and advanced chunking strategies.
  • Platform Engineering: Proven experience building tools/platforms that other developers or business units use.
  • Infrastructure Knowledge: Experience mimicking cloud capabilities (AWS/Azure) within a strictly on-premise environment.
  • DevOps: Familiarity with Jenkins, Ansible, and automated deployment pipelines.
 
Experience & Qualifications
  • Seniority: This is a senior-level role. We are looking for someone with a proven track record of building production-grade platforms (10-15+ years)
  • Industry Knowledge: You must stay current with the "latest and greatest" in AI (e.g., rag-less inferencing, agentic frameworks).
  • Problem Solver: Must be able to take a use case from a business unit and translate it into a scalable platform service.
  • Experience with Scale: Experience working with large-scale GPU farms and high-volume data environments is highly preferred.