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Weekend Data Engineer Jobs in Spring, TX (NOW HIRING)

Sr. Data Engineer

Houston, TX

$105K - $127K/yr

Senior Data Engineer \n \n \n Contract: 12 months plus \n \n \n Location: Houston, TX \n \n \n \n \n \n N ote: Only Houston, TX candidates \n \n \n \n \n \n \- Responsibilities: \n \n \n \-Build ...

Palantir Data Engineer

Spring, TX · On-site

$101K - $122K/yr

HCL Global Systems Inc is seeking a Palantir Data Engineer to help build tools that optimize investment and operational decisions in a scalable carbon capture system. The role involves implementing ...

Sr. Data Engineer-Azure Databricks

Houston, TX · On-site

$109K - $131K/yr

Job Title: Sr. Data Engineer Location: Houston, TX Length: 6-10 months Job Summary We are seeking a skilled Data Engineer with extensive, hands-on expertise in Azure Databricks to design, develop ...

Public Health Data Engineer

Houston, TX

$109K - $131K/yr

Guidehouse seeks a Data Engineer to support the development, maintenance, and enhancement of data pipelines, cloud-based data platforms, and analytics solutions. The ideal candidate is an early ...

Guidehouse seeks a Data Engineer to support the development, maintenance, and enhancement of data pipelines, cloud-based data platforms, and analytics solutions. The ideal candidate is an early ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Data Engineer - Senior Manager

Houston, TX · On-site

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

The Data Engineer or Data Scientist enables data-driven decision-making across the enterprise. This role builds the infrastructure and analytics models that convert raw data into actionable insights ...

PCA Data Engineer

Houston, TX · On-site

$109K - $131K/yr

We are looking for a talented Data Engineer to join our team and contribute to developing robust data solutions that support our business goals. In this role, you will be aligned with a specific ...

Job Title Senior Data Engineer Location Atlanta, Boston, Charlotte, Chicago, Dallas, Houston, Los Angeles, New York Regular/Temporary Regular Summary We have an opening for a Senior Data Engineer.

Senior Data Engineer

Houston, TX · On-site

$80K - $133K/yr

Guidehouse seeks a Senior Data Engineer to design, develop, and optimize modern data platforms, pipelines, and cloud-based analytics solutions. The ideal candidate will have hands-on experience ...

Senior Data Engineer

Houston, TX · On-site

$80K - $133K/yr

Guidehouse seeks a Senior Data Engineer to design, develop, and optimize modern data platforms, pipelines, and cloud-based analytics solutions. The ideal candidate will have hands-on experience ...

AI Data Engineer

Spring, TX · On-site

$101K - $122K/yr

They are seeking an AI Data Engineer with expertise in data structures and AI/ML workflows, responsible for designing data pipelines, integrating AI analytics, and collaborating with data modelers to ...

Data Engineer

Houston, TX · On-site

$80/hr

Design, develop, and maintain data pipelines and infrastructure to collect, process, and analyze large datasets. Implement ETL processes, optimize database performance, and ensure data quality and ...

Drone Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Drone Data Engineer Job Location: Houston, Tx Job Type: Contract * Drone Data Execution Engineer Skydio * Drone Operations Data Execution * Plan execute and optimize drone missions for inspection ...

Showing results 41-60

Weekend Data Engineer information

See Spring, TX salary details

$39.6K

$115.4K

$158K

How much do weekend data engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for weekend data engineer in Spring, TX is $115,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,900.00 and $122,400.00 per year, depending on experience, location, and employer.

What is a weekend data engineer?

Weekend Data Engineers are professionals who work primarily on weekends to design, build, and maintain data systems and pipelines. Their responsibilities may include ensuring data flows smoothly between systems, managing databases, and supporting data analytics tasks during off-peak hours. This role is ideal for organizations that need data engineering support outside of standard business hours, such as companies with continuous operations or those processing large volumes of data over weekends. Weekend Data Engineers often collaborate remotely and may be part-time or contract workers.

What are the key skills and qualifications needed to thrive as a weekend data engineer?

To thrive as a Weekend Data Engineer, you need strong proficiency in data modeling, SQL, ETL processes, and programming languages like Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), data warehouse systems (like Redshift or Snowflake), and relevant certifications are often required. Excellent problem-solving, attention to detail, and the ability to work independently during off-hours are standout soft skills. These skills and qualities are crucial for maintaining reliable data pipelines, troubleshooting issues efficiently, and ensuring uninterrupted data services during weekend operations.

What are the typical expectations and work patterns for a weekend data engineer?

As a Weekend Data Engineer, you’ll generally be responsible for maintaining, optimizing, and troubleshooting data pipelines and infrastructure during the weekend hours when production systems still require support. This role often involves monitoring data flows, addressing urgent issues, and ensuring data availability for business needs that operate on a 24/7 basis. You may collaborate remotely with on-call team members or communicate hand-offs to weekday staff, so strong documentation and clear communication are key. Weekend shifts can offer flexibility but may also require independent problem-solving, as fewer team members are available for immediate support.

What is the difference between Weekend Data Engineer vs Part-Time Data Analyst?

AspectWeekend Data EngineerPart-Time Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with data pipelinesBachelor's in related field; skills in data analysis and visualization
Work EnvironmentTech companies, data-driven organizations, remote or on-siteBusiness, marketing, or finance sectors; often remote or part-time
Employer & Industry UsageUsed in industries needing weekend data processing or maintenanceUsed in roles requiring part-time data insights and reporting

The Weekend Data Engineer focuses on building and maintaining data pipelines during weekends, often requiring technical skills and experience with data infrastructure. In contrast, a Part-Time Data Analyst primarily interprets data, creates reports, and provides insights on a flexible schedule. Both roles are suitable for flexible work arrangements but serve different functions within data teams.

What are the most commonly searched types of Data Engineer jobs in Spring, TX?

The most popular types of Data Engineer jobs in Spring, TX are:

What are popular job titles related to Weekend Data Engineer jobs in Spring, TX?

For Weekend Data Engineer jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Weekend Data Engineer jobs in Spring, TX look for?

The top searched job categories for Weekend Data Engineer jobs in Spring, TX are:

What cities near Spring, TX are hiring for Weekend Data Engineer jobs?

Cities near Spring, TX with the most Weekend Data Engineer job openings:

Infographic showing various Weekend Data Engineer job openings in Spring, TX as of June 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $115,433 per year, or $55.5 per hour.

$105K - $127K/yr

Contractor

Re-posted 18 days ago


Job description

\n <\/head>\n \n \n
\n mbridge is seeking an experienced Data engineer for a leading Oil and Gas client in Houston, TX.
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Job Title: Senior Data Engineer<\/b>
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\n Contract: 12 months plus<\/b>
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\n Location: Houston, TX<\/b>
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\n N<\/u>ote: Only Houston, TX candidates<\/u><\/b>\n <\/div>\n
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\n \- Responsibilities:<\/b>
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\n \-Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
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\n \-Work with stakeholders including the Executive, Product, Data and Design teams to assist with data\-related technical issues and support their data infrastructure needs.
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\n \-Create data tools for analytics and data scientist team members that assist them in
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\n \-Create and maintain optimal data pipeline architecture, Assemble large, complex data sets that meet functional \/ non\-functional business requirements.
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\n \-Work with data and analytics experts to strive for greater functionality in our data systems.
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\n \-Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re\-designing infrastructure for greater scalability, etc.
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\n \-Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and other technologies.
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\n building and optimizing our product into an innovative industry leader.
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Requirements<\/h3>\n
\n Required Qualifications:<\/b>
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\n \- Minimum 10+ years of experience
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\n \-Analytics\/data product solution architecture on Azure (Azure Data Factory, Databricks)
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\n \-Data extract, load and transformation techniques and tools including orchestration of needed azure resources
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\n \-Azure analytics services
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\n \-Programming, scripting (Python, SQL, Scala)
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\n \-Analytics data frameworks (Spark etc.)
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\n \-Data architecture concepts understanding (relational and dimensional data models)
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\n \-Information security
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\n \-Software engineering tools and methodologies (e.g. Agile, ADO, Ansible, GIT)
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