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Principal Data Platform Engineer Jobs in Texas (NOW HIRING)

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 ...

New

Principal Data Engineer

Austin, TX · On-site

$120 - $160/hr

As we continue building on our modern data platform, you'll make strategic recommendations and ... As a Principal Data Engineer, you have a mandate to design and implement enterprise‑grade data ...

As we continue building on our modern data platform, you'll make strategic recommendations and ... As a Principal Data Engineer, you have a mandate to design and implement enterprise-grade data ...

As we continue building on our modern data platform, you'll make strategic recommendations and ... As a Principal Data Engineer, you have a mandate to design and implement enterprise-grade data ...

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 ...

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 ...

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 ...

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 ...

Principal Data Engineer

Houston, TX · On-site

$106K - $127K/yr

Principal Data Engineer Location: Houston, TX - 4 days/week onsite Duration: Full time / Direct ... platforms. This position demands a blend of cloud data engineering, systems engineering, data ...

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 ...

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 ...

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Principal Data Platform Engineer information

What is the difference between Principal Data Platform Engineer vs Data Engineer?

AspectPrincipal Data Platform EngineerData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; often with certifications in cloud platformsBachelor's in CS, Data Science, or related; certifications are common but not mandatory
Work EnvironmentDesigns and oversees data platform architecture, leads technical strategyBuilds, maintains, and optimizes data pipelines and databases
Employer & Industry UsageUsed in large tech, finance, and enterprise companies focusing on scalable data solutionsCommon across industries for data processing and analytics tasks

The Principal Data Platform Engineer focuses on designing and leading the development of data platforms, ensuring scalability and performance. In contrast, Data Engineers primarily build and maintain data pipelines and infrastructure. Both roles require strong technical skills, but the Principal role involves strategic oversight and architecture leadership.

What are popular job titles related to Principal Data Platform Engineer jobs in Texas? For Principal Data Platform Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Principal Data Platform Engineer jobs in Texas look for? The top searched job categories for Principal Data Platform Engineer jobs in Texas are:
What cities in Texas are hiring for Principal Data Platform Engineer jobs? Cities in Texas with the most Principal Data Platform Engineer job openings:
Infographic showing various Principal Data Platform Engineer job openings in Texas as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution.

Data Platform Engineer

Wise Skulls

Austin, TX • On-site

$113K - $136K/yr

Contractor

Posted yesterday

New


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.