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Live In Data Platform Engineer Jobs in Houston, TX

HPC Platform Engineer

Houston, TX · Hybrid

$70 - $90/hr

Must be authorized to work in the U.S. Summary We are partnering with a global high-performance computing and scientific software consulting firm seeking an HPC Platform Engineer to support ...

AI/ML Platform Engineer

Spring, TX · On-site

$147K - $230K/yr

AI/ML Platform Engineer Description - We are a dynamic centralized platform team dedicated to ... Four-year or Graduate Degree in Computer Science, Statistics, Mathematics, Data Science, or any ...

Posted today

AI Platform & Agent Engineer Contract position Houston, TX -Hybrid Required Qualifications ... Bachelor's degree in computer science, Data Science, Software Engineering, Information Systems, or ...

Software Engineer in Data Science

Houston, TX · On-site

$109K - $131K/yr

... Engineer to join their global data science and machine learning team. The role focuses on ... cloud platforms (ideally AWS) and containerization technologies (Docker) • Experience with ...

Software Engineer in Data Science

Houston, TX · On-site +1

$109K - $131K/yr

Experience with data engineering, APIs, and cloud platforms (ideally AWS) and containerization ... Experience in the energy or commodities trading industry, with knowledge of financial markets and ...

Software Engineer in Data Science

Houston, TX · On-site

$109K - $131K/yr

Experience with data engineering, APIs, and cloud platforms (ideally AWS) and containerization ... Experience in the energy or commodities trading industry, with knowledge of financial markets and ...

Software Engineer in Data Science

Houston, TX · On-site

$109K - $131K/yr

Experience with data engineering, APIs, and cloud platforms (ideally AWS) and containerization ... Experience in the energy or commodities trading industry, with knowledge of financial markets and ...

Data Engineer

Houston, TX · On-site

$60/hr

Rysun believes in quality-first and is CMMI Level 5, ISO 9001 & 27001 certified. The team has a ... Develop and manage data warehouses, data lakes, and cloud-based data platforms. * Collaborate with ...

Preferred Certifications in Power BI (PL-300), Microsoft Fabric Analytics Engineer (DP-600), Azure ... Own the BI/analytics platform (Power BI, Oracle Fusion Data Intelligence, and Microsoft Fabric) and ...

New

Software Engineer in Data Science

Houston, TX · On-site +1

$109K - $131K/yr

Experience with data engineering, APIs, and cloud platforms (ideally AWS) and containerization ... Experience in the energy or commodities trading industry, with knowledge of financial markets and ...

Data Engineer II

Houston, TX · On-site

$91K - $96K/yr

... in the world. We are proud to offer a market-leading range of premium products across categories ... Reporting directly to the Director Data Platform within the Information Technology department, the ...

Data Engineer II

Houston, TX · On-site

$109K - $131K/yr

... in the world. We are proud to offer a market-leading range of premium products across categories ... Reporting directly to the Director Data Platform within the Information Technology department, the ...

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Showing results 1-20

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 15, 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:
What are popular job titles related to Live In Data Platform Engineer jobs in Houston, TX? For Live In Data Platform Engineer jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Live In Data Platform Engineer jobs in Houston, TX look for? The top searched job categories for Live In Data Platform Engineer jobs in Houston, TX are:
What cities near Houston, TX are hiring for Live In Data Platform Engineer jobs? Cities near Houston, TX with the most Live In Data Platform Engineer job openings:
Analyst, Lead Data Engineering

Analyst, Lead Data Engineering

Enterprise Products

Houston, TX • On-site

Full-time

Re-posted 19 days ago


Enterprise Products rating

9.3

Company rating: 9.3 out of 10

Based on 36 frontline employees who took The Breakroom Quiz

1st of 52 rated energy and utility


Job description

Description
Tap into the professional possibilities of the largest publicly traded energy partnership that features one of the most diversified cash flow streams in the midstream segment of the energy industry. With dynamic career opportunities and a creative and supportive environment, our unique midstream energy organization offers the chance to share and be recognized for your ideas. Join our team and increase your opportunities for success.
We are currently seeking an experienced Data Engineer to join the Big Dat and Advanced Analytics department. The Data Engineer will work closely with business domain experts to create an Enterprise Data Lakehouse to support data analytic use cases for the midstream oil and gas operations, engineering, and measurements business units. Responsibilities include, but are not limited to:
  • Design and implement reliable data pipelines to integrate disparate data sources into a single Data Lakehouse.
  • Design and implement data quality pipelines to ensure data correctness and building trusted datasets.
  • Design and implement a Data Lakehouse solution which accurately reflects business operations.
  • Assist with data platform performance tuning and physical data model support including partitioning and compaction.
  • Provide guidance in data visualizations and reporting efforts to ensure solutions are aligned to business objectives.
  • Automate and optimize the data lifecycle, find insights from raw data, and applying DevOps principle to data pipelines.
  • Work with business leaders to deliver custom software solutions meeting data needs.
  • Build and support a data platform for data engineering teams to build, deploy and manage applications.

Qualifications
The successful candidate will meet the following qualifications:
  • 5+ years of experience as a Data Engineer designing and maintaining data pipeline architectures.
  • 5+ years of in-depth programming experience in Python and SQL.
  • 5+ years in software development lifecycle experience with software engineering, development, testing, version control, refactoring, and deployment.
  • Experience with common Python Data Engineering packages including pandas, Numpy, Pyarrow, Pytest, Scikit-Learn, and Boto3.
  • Experience in implementing a Data Lakehouse using Apache Iceberg or Delta Lake.
  • Experience with data platform architecture responsible for high-level design, strategy and implementation of data infrastructure, including data modelling, designing scalable architectures and ensuring data governance, security and compliance.
  • Knowledgeable of modern data platform technologies including Apache Airflow, Kubernetes, and S3 Object Storage.
  • Experience with AWS, Snowflake, dbt and Airbyte is preferred.
  • Experience with infrastructure as code, building consistent and repeatable cloud infrastructure.

What Enterprise Products employees say

Pay

Benefits

Hours and flexibility

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