Data Platform Engineer Jobs in Texas
Data Platform Engineer jobs in Texas are in strong demand, with consistent hiring across the state's energy, technology, and financial services sectors and openings at every level from junior data engineers through senior architects. Austin, Dallas, and Houston lead the market, anchored by employers like Dell Technologies, ExxonMobil, and JPMorgan Chase, all of which maintain large engineering and data operations in Texas. The most in-demand specialties are cloud data infrastructure, pipeline orchestration, and real-time streaming platforms built on tools like Apache Kafka and Apache Spark. Find a role that fits below and apply directly.
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Job Summary
We are looking for an experienced Senior Data Platform Engineer to design, build, and operate scalable, secure, and highly reliable enterprise data platforms.
The role focuses on developing the foundational data infrastructure, platforms, frameworks, and services that enable data engineering, analytics, AI/ML, and business intelligence teams to efficiently ingest, process, store, govern, and consume data.
The ideal candidate will have strong hands-on experience with cloud data platforms, data engineering, distributed systems, data pipelines, data lakes/lakehouses, orchestration, streaming, DevOps, and platform engineering .
Key Responsibilities
- Design, develop, and maintain enterprise-grade data platforms .
- Build scalable data ingestion and processing frameworks for batch and real-time workloads.
- Develop reusable platform components and services for data engineering and analytics teams.
- Design and implement data lake, data warehouse, and lakehouse architectures .
- Build high-performance and reliable data pipelines using modern data engineering technologies.
- Develop frameworks for data ingestion from databases, APIs, SaaS applications, files, events, and streaming sources.
- Implement data processing using distributed computing technologies.
- Build and manage data orchestration and workflow automation .
- Establish platform standards for reliability, scalability, security, monitoring, and operational excellence.
- Automate infrastructure provisioning and platform deployment using Infrastructure as Code .
- Implement CI/CD pipelines for data platform components and data workloads.
- Optimize data processing, storage, compute, and cloud infrastructure costs.
- Implement platform monitoring, logging, alerting, and observability.
- Work closely with Data Architects, Data Engineers, ML Engineers, Data Scientists, DevOps, Security, and application teams.
- Support AI/ML teams by providing reliable and scalable AI-ready data infrastructure .
- Define and implement data platform security, access control, encryption, and governance.
- Troubleshoot complex platform, pipeline, performance, and infrastructure issues.
- Establish reusable engineering patterns, libraries, templates, and best practices.
- Mentor engineers and contribute to technical architecture and platform strategy.
Compensation, Benefits and Duration
Minimum Compensation: USD 38,000
Maximum Compensation: USD 133,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full-time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post
Job Summary
We are looking for an experienced Senior Data Platform Engineer to design, build, and operate scalable, secure, and highly reliable enterprise data platforms.
The role focuses on developing the foundational data infrastructure, platforms, frameworks, and services that enable data engineering, analytics, AI/ML, and business intelligence teams to efficiently ingest, process, store, govern, and consume data.
The ideal candidate will have strong hands-on experience with cloud data platforms, data engineering, distributed systems, data pipelines, data lakes/lakehouses, orchestration, streaming, DevOps, and platform engineering .
Key Responsibilities
- Design, develop, and maintain enterprise-grade data platforms .
- Build scalable data ingestion and processing frameworks for batch and real-time workloads.
- Develop reusable platform components and services for data engineering and analytics teams.
- Design and implement data lake, data warehouse, and lakehouse architectures .
- Build high-performance and reliable data pipelines using modern data engineering technologies.
- Develop frameworks for data ingestion from databases, APIs, SaaS applications, files, events, and streaming sources.
- Implement data processing using distributed computing technologies.
- Build and manage data orchestration and workflow automation .
- Establish platform standards for reliability, scalability, security, monitoring, and operational excellence.
- Automate infrastructure provisioning and platform deployment using Infrastructure as Code .
- Implement CI/CD pipelines for data platform components and data workloads.
- Optimize data processing, storage, compute, and cloud infrastructure costs.
- Implement platform monitoring, logging, alerting, and observability.
- Work closely with Data Architects, Data Engineers, ML Engineers, Data Scientists, DevOps, Security, and application teams.
- Support AI/ML teams by providing reliable and scalable AI-ready data infrastructure .
- Define and implement data platform security, access control, encryption, and governance.
- Troubleshoot complex platform, pipeline, performance, and infrastructure issues.
- Establish reusable engineering patterns, libraries, templates, and best practices.
- Mentor engineers and contribute to technical architecture and platform strategy.
Compensation, Benefits and Duration
Minimum Compensation: USD 38,000
Maximum Compensation: USD 133,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full-time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post
See All 42 Data Platform Engineer Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find Data Platform Engineer JobsData Platform Engineer Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
Data Platform Engineer Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Education
- Electronics & Hardware
- Banking & Financial Services
What Texas Employers Look For
The qualifications that appear most often in data platform engineer jobs across Texas.
- Bachelor's degree in computer science, information systems, or a related technical field
- Hands-on experience building and maintaining data pipelines using Python, Scala, or SQL
- Proficiency with cloud data platforms such as AWS, Microsoft Azure, or Google Cloud
- Experience with workflow orchestration tools such as Apache Airflow or dbt
- Familiarity with distributed processing frameworks including Apache Spark or Apache Kafka
- Strong understanding of data warehouse design, ETL architecture, and data modeling principles
Data Platform Engineer Jobs in Texas: Frequently Asked Questions
How do you become a data platform engineer in Texas?
Data platform engineering has no state-issued license in Texas, so the path runs through education and demonstrated technical skill. Most Texas employers expect a bachelor's degree in computer science, software engineering, or a related field. From there, hands-on experience with cloud platforms and data pipeline tools matters most. Earning cloud certifications from AWS or Microsoft Azure strengthens a candidacy significantly, and Texas universities like UT Austin and Texas A&M produce strong pipelines of graduates entering this field.
How much do data platform engineers make in Texas?
Data platform engineers in Texas earn a median of about $151,370 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $92,890 for the lowest 10% to over $200,390 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data platform engineers in Texas?
Employers hiring data platform engineers in Texas right now include Apple, HEB, and JPMorganChase, based on current listings on Migrate Mate as of September 2026. Texas's concentration of energy companies, financial institutions, and technology firms means demand is spread across a wider range of industries than in most other states.
Which Texas cities have the most data platform engineer jobs?
Austin, Dallas, and Plano have the most data platform engineer openings in Texas. Houston's demand is driven by its energy and petrochemical sector, where companies invest heavily in data infrastructure, while Dallas benefits from a large financial services and corporate headquarters presence, and Austin's technology industry growth has made it one of the fastest-growing markets for data engineering talent in the state.
Are there remote data platform engineer jobs in Texas?
Yes, and more than most fields. About 80% of data platform engineer openings tied to Texas are remote or hybrid as of September 2026, reflecting how naturally this role fits distributed work environments. The parts of the role most likely to stay fully remote are pipeline development, data modeling, and infrastructure-as-code work, while on-site presence is more common at companies requiring close collaboration with data governance or compliance teams.
How can I get hired as a data platform engineer in Texas with little or no experience?
The most realistic entry path is a data or software engineering associate role, which large Texas employers like Dell Technologies, USAA, and AT&T regularly post as a stepping stone into platform work. Candidates transitioning from adjacent roles like data analyst, BI developer, or backend software engineer are well-positioned because they already understand data structures and query logic. Building a portfolio of pipeline projects on GitHub and earning an entry-level AWS or Azure cloud certification gives Texas hiring managers something concrete to evaluate before an interview.
Where can I find and apply to data platform engineer jobs in Texas?
You can find and apply to data platform engineer jobs in Texas on Migrate Mate, which lists current Texas openings across the state's major hiring markets. Find roles that fit your experience and apply directly to the employers posting them.
See All 42 Data Platform Engineer Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find Data Platform Engineer Jobs