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

Prophecy Technologies

AWS Data Platform Engineer

Dallas, TX · On-site

$113K - $136K/yr

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 ...

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 ...

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 ...

T-Mobile

Platform Engineer

Frisco, TX · On-site

Develop, execute, and tune DML logic - queries, data migrations, transformations, and batch ... Platform Engineers involved in cloud infrastructure and migrations. (Preferred) * Certified ...

Vings Technologies

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

We are seeking a highly experienced Database Architect / MongoDB Data Platform Architect to lead ... DevOps Git CI/CD Terraform Ansible GitOps Practices

Cyxtera

Sr Platform Engineer

Coppell, TX · On-site

About Custom Platforms Custom Platforms is the engineering team at Csquare responsible for the customer portals, internal tools, and infrastructure behind our data center customer experience. The ...

Cyxtera

Sr Platform Engineer

Coppell, TX · On-site

About Custom Platforms Custom Platforms is the engineering team at Csquare responsible for the customer portals, internal tools, and infrastructure behind our data center customer experience. The ...

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Showing results 1-20

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

Data Platform Engineer information

See Dallas, TX salary details

$44K

$128.3K

$175.6K

How much do data platform engineer jobs pay per year?

As of Jul 29, 2026, the average yearly pay for data platform engineer in Dallas, TX is $128,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,300.00 and $136,000.00 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 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 July 2026, with employment types broken down into 58% Full Time, and 42% Contract. Highlights an 83% In-person, 6% Hybrid, and 11% Remote job distribution, with an average salary of $128,320 per year, or $61.7 per hour.

AWS Data Platform Engineer

Prophecy Technologies

Dallas, TX • On-site

$113K - $136K/yr

Full-time

Posted 13 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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