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Live In Data Platform Engineer Jobs in Houston, TX

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 ...

Crescent Energy

Data Platform Manager

Houston, TX

Experience: * 7+ years of experience in data engineering, data platform management, or related disciplines. * 3+ years of leadership experience managing technical teams in enterprise data ...

Crescent Energy

Data Platform Manager

Houston, TX · On-site

Required : • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field. • 7+ years of experience in data engineering, data platform management, or related ...

Crescent Energy

Data Platform Manager

Houston, TX · On-site

Experience: * 7+ years of experience in data engineering, data platform management, or related disciplines. * 3+ years of leadership experience managing technical teams in enterprise data ...

The Friedkin Group

Platform Engineer

Houston, TX · On-site

... in which we live. Why Join Us * Career Growth: Advance your career with opportunities for ... data, communicate, and remain in a stationary position for a significant amount of the work day and ...

The Friedkin Group

Platform Engineer

Houston, TX · On-site

... in which we live. Why Join Us * Career Growth: Advance your career with opportunities for ... data, communicate, and remain in a stationary position for a significant amount of the work day and ...

The Friedkin Group

Platform Engineer

Houston, TX · On-site

... in which we live. Why Join Us * Career Growth: Advance your career with opportunities for ... data, communicate, and remain in a stationary position for a significant amount of the work day and ...

NAVA Software Solutions

Platform Engineer

Houston, TX · On-site

The platform engineer will be required to perform application, server, database maintenance, and data analysis as well as creating health and monitoring reports. The person in this position will be ...

Dlapiper

Data Engineer

Houston, TX

$109K - $131K/yr

Minimum Years of Experience * 3 years of experience in data engineering and/or data platform engineering (pipelines, integration, and operational support). Essential Job Expectations While the ...

Seadrill

Data Platform Lead 90150

Houston, TX

... to live our values. Our behaviors are embedded in the way we work and support and guide us day to ... Preferred Certifications in Power BI (PL-300), Microsoft Fabric Analytics Engineer (DP-600), Oracle ...

Patterson-UTI

Data Ops Lead

Houston, TX

Mentor engineers and help raise the operational maturity of the data organization Required Knowledge, Skills, and Abilities: * 7+ years experience in Data Engineering, DataOps, or Data Platform ...

Patterson-UTI

Data Ops Lead

Houston, TX · On-site

Mentor engineers and help raise the operational maturity of the data organization Required Knowledge, Skills, and Abilities: * 7+ years experience in Data Engineering, DataOps, or Data Platform ...

AMSYS Talent

Senior Data Engineer

Houston, TX · On-site

$95K - $130K/yr

... years in data architecture or data engineering * Experience with modern cloud data platforms ... Fabric, Snowflake, or Databricks) * Strong background in data integration, modeling, and ETL/ELT

Drunix Solution Inc

Snowflake Data Engineer

Houston, TX · On-site

$109K - $131K/yr

The Data Engineer will help create trusted, reusable data assets that support applications ... in Snowflake , with Snowflake positioned as the central strategic data platform. Work with AWS ...

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All JobsLive In Data Platform Engineer JobsLive In Data Platform Engineer Jobs in Houston, TX

Live In Data Platform Engineer information

See Houston, TX salary details

$42.5K

$123.9K

$169.5K

How much do live in data platform engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for live in data platform engineer in Houston, TX is $123,876.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,300.00 and $131,300.00 per year, depending on experience, location, and employer.

How much do data platform engineers make?

Data platform engineers typically earn a median salary ranging from $100,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in cloud platforms and big data tools can earn higher compensation, often exceeding $180,000 per year.

Can I make 200K as a data engineer?

A Live In Data Platform Engineer can potentially earn $200,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, data architecture, and big data tools, as well as in high-demand industries or senior roles. Compensation varies based on location, company size, and individual expertise, with senior or specialized engineers often reaching or exceeding this salary level.

What is the difference between Live In Data Platform Engineer vs Data Engineer?

AspectLive In Data Platform EngineerData Engineer
CredentialsBachelor's in CS, Data Science, or related; certifications like AWS, Azure, or GCPBachelor's in CS, IT, or related; certifications like AWS, GCP, or Hadoop
Work EnvironmentOn-site/live-in setup, often in remote or rural locations, supporting real-time data systemsOffice-based or remote, focusing on data pipeline development and management
Industry UsageUsed in industries requiring constant on-site data monitoring, such as energy or remote facilitiesCommon across tech, finance, healthcare, and other sectors for data infrastructure

The Live In Data Platform Engineer specializes in maintaining real-time data systems in on-site or remote environments, often requiring a live-in presence. In contrast, Data Engineers focus on building and managing data pipelines across various industries, typically working remotely or in-office. Both roles require similar technical skills but differ mainly in work setting and specific responsibilities.

What engineers make $300,000 a year?

Senior data platform engineers, especially those with expertise in large-scale data systems, cloud infrastructure, and advanced programming skills, can earn $300,000 or more annually. High compensation often requires extensive experience, specialized certifications, and leadership responsibilities within organizations that rely heavily on data infrastructure.

What engineer makes $500,000 a year?

A Live In Data Platform Engineer can earn $500,000 annually, especially with extensive experience, specialized skills in cloud platforms, data architecture, and high-demand environments. Such compensation often includes base salary, bonuses, and stock options in large tech companies or startups with significant data infrastructure needs.
What are the most commonly searched types of Data Platform Engineer jobs in Houston, TX? The most popular types of Data Platform Engineer jobs in Houston, TX are:
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Live In Data Platform Engineer jobs near you

Platform Engineer

WorkNovas LLC

Houston, TX • On-site

Contractor

Re-posted 16 days ago

Job description

 

Platform Engineer

Houston, TX

Description: 

 About the Role:

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 to build safely, efficiently, and consistently on a shared Databricks platform by enforcing data quality, ingestion standards, security policies, and cost governance.

The candidate will technical be the owner of platform guardrails, operational stability, access patterns, and cost controls—ensuring the platform scales reliably across business teams.

Key Responsibilities:

  • Platform Administration & Governance
  • Administer Databricks workspaces, clusters, jobs, Unity Catalog, compute policies, environment configuration, and platform guardrails.
  • Implement and maintain RBAC and ABAC access controls for secure, compliant data access.
  • Define and enforce data ingestion standards, naming conventions, schema rules, Delta Lake design patterns, and data quality expectations.

Data Quality & Ingestion Standards:

  • Set platform‑wide standards for ingestion pipelines, Delta architecture, lineage, versioning, and validation.
  • Review and approve onboarded pipelines for compliance with platform requirements.
  • Partner with data engineering teams to uplift patterns and enforce consistency.
  • Security, Compliance & Access Controls
  • Manage workspace and catalog permissions, row/column‑level policies, attribute‑based filtering, and workspace isolation.
  • Collaborate with security teams to maintain compliance and enforce global data protection standards.
  • Cost Management & Monitoring
  • Implement cost thresholds, alerts, compute policies, and usage dashboards to prevent overspend.
  • Monitor job and cluster costs, detect anomalies, and recommend optimization actions.
  • Provide visibility into SKU‑level spend and workspace cost patterns.
  • Operational Stability & Observability
  • Ensure platform reliability through automated testing, CI/CD templates, and code governance.
  • Build dashboards to track code compliance, data access, pipeline health, schema drift, and cost thresholds.
  • Resolve platform incidents and prevent recurrence by strengthening guardrails and configurations.

Enablement & Best Practices:

  • Define “handrails” for building on the platform: ingestion, Delta conventions, CI/CD, observability, and AI/ML patterns.
  • Coach data/analytics teams on compliant onboarding and optimal platform usage.
  • Maintain internal documentation, patterns, code templates, and guidance.
  • Required Skills & Experience
  • 5+ years in data engineering or platform engineering, with at least 2–3 years in Databricks administration.
  • Expert knowledge of Unity Catalog, cluster policies, Delta Lake, Spark, workspace configuration, and jobs.
  • Strong grounding in data governance, data modeling, ingestion frameworks, schema enforcement, versioning, and lineage.
  • Proven experience implementing RBAC and ABAC in Databricks or similar platforms.
  • Experience with cost optimization, monitoring, billing logs, and compute governance.
  • Strong Python/PySpark and SQL skills; familiarity with DLT, Airflow, or Databricks Workflows.
  • Strong communication skills with ability to set standards and influence teams diplomatically.

Preferred Qualifications:

  • Experience in large-scale enterprise data platforms (Azure/AWS/GCP).
  • Familiarity with Trading & Supply or other high‑stakes analytical environments.
  • Experience creating dashboards for governance, cost, compliance, and pipeline health.
  • Experience with CI/CD, GitHub Actions, Azure DevOps, or similar tools.

Success Indicators:

  • Teams consistently follow ingestion and data standards.
  • Platform costs stabilized and predictable.
  • Strong adoption of platform guardrails, templates, and operational dashboards.
  • Reduced incidents related to access, cost, or ingestion quality.