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Data Platform Engineer Jobs in Texas (NOW HIRING)

Wise Skulls

Data Platform Engineer

Austin, TX · On-site

$113K - $136K/yr

Data Platform Engineer Location: Austin, TX or Sunnyvale, CA (Hybrid) Duration: 6 months (possibility of extension) Implementation Partner: Infosys End Client: To be disclosed JD: Job Summary We are ...

MyHR Partner, Inc

Data Platform Engineer

Austin, TX · On-site +1

$135K - $155K/yr

Your Ideal Data Platform Engineer Job * Are you passionate about powering the data behind AI-driven solutions? * Do you thrive on solving large-scale data challenges across structured, semi ...

MyHR Partner, Inc

Data Platform Engineer

Austin, TX · On-site

$135K - $155K/yr

Description Your Ideal Data Platform Engineer Job * Are you passionate about powering the data behind AI-driven solutions? * Do you thrive on solving large-scale data challenges across structured ...

MyHR Partner, Inc

Data Platform Engineer

Austin, TX · On-site +1

Your Ideal Data Platform Engineer Job * Are you passionate about powering the data behind AI-driven solutions? * Do you thrive on solving large-scale data challenges across structured, semi ...

myHR Partner

Data Platform Engineer

Austin, TX · On-site +1

$135K - $155K/yr

Your Ideal Data Platform Engineer Job * Are you passionate about powering the data behind AI-driven solutions? * Do you thrive on solving large-scale data challenges across structured, semi ...

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 ...

Eitacies Inc

Senior Data Platform Engineer

Austin, TX · On-site

$105K - $143K/yr

Benefits: * 401(k) Senior Data Platform Engineer Onsite Austin, TX We are hiring a Senior Data Platform Engineer for an onsite role in Austin, TX This role requires strong hands-on experience ...

Honor

Staff Data Platform Engineer

Austin, TX · Remote

The Opportunity We're looking for a Staff Data Engineer to help shape the future of Honor's data platform. This role is focused on building the foundational data platform that powers analytics ...

Eitacies Inc

Sr GCP Data Engineer

Austin, TX · On-site

$114K - $137K/yr

Benefits: * 401(k) Senior Data Platform Engineer Onsite Austin, TX We are hiring a Senior Data Platform Engineer for an onsite role in Phoenix, AZ. This role requires strong hands-on experience ...

WorkNovas LLC

Platform Engineer

Houston, TX · On-site

Client is seeking a Platform Engineer with deep expertise in Databricks administration, data governance, and platform‑level engineering standards. This role enables multiple analytics and AI teams ...

Toyota

Lead Data Platform Engineer, Snowflake

Plano, TX · On-site

$98K - $129K/yr

Who we're looking for We are seeking a highly skilled Lead Data Platform Engineer, Snowflake to design, maintain, secure, and optimize our Snowflake data platform and analytical ecosystem that ...

Syndicus, Inc.

Platform Engineer (8019)

San Antonio, TX · Hybrid

$164K - $213K/yr

Platform Engineer (8019)San Antonio, TX We are looking for a Cloud Platform Engineer with ... Prior experience or familiarity with DISA's Big Data Platform or other Big Data systems (e.g.

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All JobsData Platform Engineer JobsData Platform Engineer Jobs in Texas

Data Platform Engineer information

See Texas salary details

$41.5K

$120.9K

$165.4K

How much do data platform engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for data platform engineer in Texas is $120,851.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $128,100.00 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?

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 Texas?

The most popular types of Data Platform Engineer jobs in Texas are:

What are popular job titles related to Data Platform Engineer jobs in Texas?

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

What job categories do people searching Data Platform Engineer jobs in Texas look for?

The top searched job categories for Data Platform Engineer jobs in Texas are:

What cities in Texas are hiring for Data Platform Engineer jobs?

Cities in Texas with the most Data Platform Engineer job openings:

Data Platform Engineer jobs near you
Infographic showing various Data Platform Engineer job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $120,851 per year, or $58.1 per hour.

Data Platform Engineer

Wise Skulls

Austin, TX • On-site

$113K - $136K/yr

Contractor

Posted 5 days ago

Job description

Title: Data Platform Engineer
Location: Austin, TX or Sunnyvale, CA (Hybrid)
Duration: 6 months (possibility of extension)
Implementation Partner: Infosys
End Client: To be disclosed
JD:
Job Summary
We are seeking an experienced Data Platform Engineer to architect, build, and operate our cloud-based data lakehouse platform. The role is responsible for developing scalable
data infrastructure and processing pipelines built on open table formats, distributed query and compute engines, and containerized cloud infrastructure - enabling analysts, data
scientists, and downstream applications to access reliable, high-performance data at scale. The ideal candidate combines deep distributed-systems and data engineering expertise with
strong software engineering practices and a passion for building robust, efficient platforms.
Key Responsibilities
Lakehouse Architecture (Apache Iceberg)
- Architect, implement, and maintain the data lakehouse using Apache Iceberg table formats.
- Manage table lifecycle including partitioning, schema evolution, snapshot and metadata management, and compaction.
- Optimize table layout and file sizing for query performance, storage efficiency, and cost.
- Implement data governance, time-travel, and ACID transaction patterns across the lakehouse.
Distributed Query & Compute (Trino & Spark)
- Deploy, tune, and operate Trino clusters for interactive and federated analytics; manage connectors, catalogs, and resource groups.
- Build and optimize large-scale batch and streaming data processing with Apache Spark.
- Troubleshoot query plans, job performance, spills, and shuffle bottlenecks across distributed workloads.
- Balance capacity, concurrency, and cost across query and compute engines.
Data Engineering (Scala & Python)
- Develop scalable data pipelines, frameworks, and services in Scala and Python.
- Build reusable ingestion, transformation, and data-quality libraries for batch and streaming.
- Write clean, well-tested, performant code following software engineering best practices.
- Integrate pipelines with the Iceberg lakehouse and Trino/Spark processing layers.
Cloud & Kubernetes Infrastructure
- Design and operate data platform components on Kubernetes (EKS, AKS, GKE, or self-managed).
- Build and manage containerized workloads, Helm charts, and autoscaling for data services.
- Provision and manage cloud infrastructure (AWS, Azure, or GCP), including object storage and compute.
- Implement infrastructure as code, CI/CD, monitoring, and observability for the platform.
Platform Reliability & Collaboration
- Ensure the reliability, scalability, and security of the data platform across environments.
- Automate deployment, testing, and operational workflows to eliminate toil.
- Partner with data consumers to understand requirements and improve data accessibility.
- Mentor engineers and promote best practices in data and platform engineering.

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