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Remote Data Platform Engineer Jobs in Dallas, TX

Flexera Platform Engineer

Dallas, TX · Remote

$132K - $198K/yr

Remote, Hybrid Main Responsibilities Flexera Platform Engineering * Administer, configure, and optimize the Flexera platform ecosystem * Serve as the technical owner for Flexera integrations, data ...

Flexera Platform Engineer

Dallas, TX · Remote

$132K - $198K/yr

Remote, Hybrid Main Responsibilities Flexera Platform Engineering * Administer, configure, and optimize the Flexera platform ecosystem * Serve as the technical owner for Flexera integrations, data ...

Senior Data Engineer Remote Work *Must be a US Citizen* & have a USA Passport Primary ... Build and optimize data processing frameworks on cloud platforms such as Databricks or Snowflake ...

Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

... data platforms, including Microsoft Fabric, Power BI, Azure DevOps, and Dynamics 365 data ... This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or ...

Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

... data platforms, including Microsoft Fabric, Power BI, Azure DevOps, and Dynamics 365 data ... This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or ...

Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

... data platforms, including Microsoft Fabric, Power BI, Azure DevOps, and Dynamics 365 data ... This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or ...

Lead Platform Engineer

Plano, TX · On-site +1

$98K - $129K/yr

... data protection to meet rigorous compliance standards. What You'll Do: * Deployment, management and maintenance of virtualization platform Amazon Workspaces in Amazon Web Services (AWS) * Escalate ...

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Remote Data Platform Engineer information

See Dallas, TX salary details

$44K

$128.3K

$175.6K

How much do remote data platform engineer jobs pay per year?

As of Jul 18, 2026, the average yearly pay for remote 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 is the difference between Remote Data Platform Engineer vs Data Engineer?

AspectRemote Data Platform EngineerData Engineer
CredentialsBachelor's in CS, Data Science, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentRemote or hybrid, collaborating with data teams and cloud providersOn-site or remote, focusing on data pipelines and infrastructure
Industry UsageTech, finance, healthcare, and other data-driven sectorsSame industries, often overlapping roles
Search & Comparison IntentHigh overlap, often searched together due to similar skills

The Remote Data Platform Engineer focuses on building and maintaining cloud-based data platforms, ensuring scalability and performance. Data Engineers develop and manage data pipelines, databases, and ETL processes. While roles overlap in skills and industries, the Platform Engineer emphasizes cloud infrastructure, whereas Data Engineers concentrate on data processing and storage.

What are the key skills and qualifications needed to thrive as a Remote Data Platform Engineer, and why are they important?

To thrive as a Remote Data Platform Engineer, you need expertise in data engineering, database management, and cloud platforms, usually supported by a degree in computer science or a related field. Familiarity with tools such as SQL, Python, Spark, AWS, Azure, and certifications like AWS Certified Data Analytics are highly valued. Strong problem-solving, communication, and self-motivation skills help you excel in remote, collaborative environments. These skills and qualities ensure the efficient design, operation, and scaling of robust data platforms that drive business insights and operations.

What are the typical collaboration methods for a Remote Data Platform Engineer working with cross-functional teams?

As a Remote Data Platform Engineer, you will frequently collaborate with data scientists, analysts, and software engineers through virtual meetings, project management tools, and shared documentation platforms. Effective communication is essential, as much of the teamwork happens asynchronously using tools like Slack, Jira, and Confluence. You may participate in regular stand-ups, sprint planning, and code reviews to ensure alignment across the team. Building strong relationships remotely often involves proactive updates and clear documentation to keep all stakeholders informed and projects moving smoothly.

What is a Remote Data Platform Engineer?

A Remote Data Platform Engineer is a professional who designs, builds, and manages large-scale data infrastructure and platforms, while working remotely. They are responsible for ensuring data is efficiently collected, stored, processed, and made accessible for analysis, often using cloud technologies and big data tools. These engineers collaborate with data scientists, analysts, and other engineers to maintain data pipelines and optimize system performance. Their work enables organizations to leverage data for business insights, all while enjoying the flexibility of remote work.
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 Remote Data Platform Engineer jobs in Dallas, TX? For Remote Data Platform Engineer jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Remote Data Platform Engineer jobs in Dallas, TX look for? The top searched job categories for Remote Data Platform Engineer jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Remote Data Platform Engineer jobs? Cities near Dallas, TX with the most Remote Data Platform Engineer job openings:
AI Platform Engineer - Remote / Telecommute

AI Platform Engineer - Remote / Telecommute

CYNET SYSTEMS

Dallas, TX • Remote

$56/hr

Contractor

Posted 17 days ago


Job description

Job Overview:

Requirement/Must Have:

  • Bachelor's degree in Computer Science, Engineering, or related field; equivalent experience considered.
  • 5+ years of cloud platform engineering experience, with 2+ years focused on Azure (or comparable hyperscaler).
  • Hands-on experience with infrastructure-as-code (Terraform/Bicep), CI/CD pipelines (Azure DevOps, GitHub Actions), and policy-as-code frameworks.
  • Working knowledge of AI/ML platform services — Azure OpenAI, AI Foundry, vector databases, model gateways, or equivalent.
  • Experience implementing technical controls for regulated data environments (HIPAA, PCI, or similar).
  • Strong understanding of identity, networking, encryption, and secrets management patterns in the cloud.

Responsibilities:

  • Convert approved AI reference architectures into deployable cloud configurations across Azure, MuleSoft, and Salesforce Agentforce, using infrastructure-as-code (Terraform, Bicep, ARM) and CI/CD pipelines.
  • Build and maintain reusable platform components, modules, and landing zones that accelerate AI solution delivery across product teams.
  • Configure and operate core AI platform services (e.g., Azure OpenAI, Azure AI Foundry, AI Search, MuleSoft integration layers, Salesforce Agentforce agents, Antrhopic, OpenAI) in alignment with enterprise architecture standards.
  • Implement environment promotion patterns (dev → test → prod), secrets management, and observability tooling for AI workloads.
  • Translate AI governance policies (risk tiering, model approval, PHI/PII handling, audit logging) into enforceable technical controls — policy-as-code, Azure Policy, RBAC, network isolation, and data egress restrictions.
  • Implement controls that enforce HIPAA, CMS, and internal compliance requirements for AI solutions, including Zero Data Retention configurations, audit log integration, and prompt/response logging where required.
  • Partner with the AI Governance Lead and Coordinator to ensure platform configurations match documented governance posture and are audit-ready.
  • Configure model gateways, content safety filters, bias/PII safeguards, and usage telemetry to support responsible AI operations at scale.
  • Deliver paved-path templates, starter kits, and self-service capabilities that allow product and engineering teams to build AI solutions safely without recreating platform components.
  • Provide technical support, documentation, and office hours to development teams consuming the AI platform.
  • Collaborate with Consultant Product Owners and platform architects to translate solution requirements into platform capabilities and backlog items.
  • Monitor platform health, capacity, cost, and consumption; implement automation to optimize spend and performance.
  • Support incident response, root-cause analysis, and continuous improvement of platform reliability and security posture.
  • Maintain platform documentation, runbooks, and architectural decision records.

Nice to Have:

  • Platform familiarity across Azure, MuleSoft, and Salesforce Agentforce — ability to configure, integrate, and govern AI workloads spanning all three platforms.
  • Experience operating AI or data platforms in a healthcare payer or other regulated industry.
  • Familiarity with AI governance frameworks (NIST AI RMF, ISO 42001) and translating policy into technical enforcement.
  • Experience with document intelligence, RAG architectures, or agentic AI patterns.
  • Azure certifications (AZ-305, AZ-400, AI-102), MuleSoft Certified Developer/Architect, or Salesforce Agentforce/Platform credentials a plus.

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.

Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

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