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

Data Engineer Location: Spring, TX on site 3 days per week. Tues, Wed, Thurs onsite. Only candidates local to the Houston, TX area will be considered. Duration: 6 + months Compensation: $70 to $85 ...

Data Engineer

Spring, TX · On-site

$70 - $85/hr

Data Engineer Location: Spring, TX on site 3 days per week. Tues, Wed, Thurs onsite. Only candidates local to the Houston, TX area will be considered. Duration: 6 + months Compensation: $70 to $85 ...

Data Engineer

Houston, TX · On-site

$65 - $90/hr

Data Engineer Brooksource Fortune 500 Oil & Gas Client Houston, TX Overview We are partnering with a rapidly growing data and AI team within a leading energy organization that is building out its ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

The company is hiring dedicated data engineers to ensure its data is accessible, secure, and efficient. This role collaborates with data analysts to create data pipelines for data from all kinds of ...

We are seeking a skilled and motivated Data Engineer to design, build, and maintain scalable data pipelines and data platforms that support business intelligence, analytics, and data-driven decision ...

Data Engineer

The Woodlands, TX · On-site

$104K - $125K/yr

Data Engineer Department: Data Technology Job Status: Full-Time FLSA Status: Salary - Exempt ... Work hours may include early morning, late afternoon/evening hours, and weekends in combination ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

The company is hiring dedicated data engineers to ensure its data is accessible, secure, and efficient. This role collaborates with data analysts to create data pipelines for data from all kinds of ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

DATA ENGINEER III CONTRACT LENGTH: 6 - 12 MONTH CONTRACT, LOOKING TO THEN CONVERT ONSITE 5 DAYS A WEEK IN DOWNTOWN HOUSTON OFFICE. LOOKING FOR HOUSTON LOCAL TALENT. NEED SENIOR CANDIDATES 12+ - 15 ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Foxconn Industrial Internet is hiring dedicated data engineers to ensure its data is accessible, secure, and efficient. This role collaborates with data analysts to create data pipelines for data ...

Data Engineer 1

The Woodlands, TX · On-site

$104K - $125K/yr

Data Engineer Department: Data Engineer Job Status: Full Time FLSA Status: Exempt Reports To ... Work hours may include early morning, late afternoon/evening hours, and weekends in combination ...

Data Engineer

Houston, TX · Remote

$58K - $83K/yr

Overview The Data Engineer supports the design, development, and maintenance of data pipelines and data platforms. This role focuses on learning and contributing to building scalable data solutions.

New

Principal Data Engineer

Houston, TX · On-site

$106K - $127K/yr

Principal Data Engineer Location: Houston, TX - 4 days/week onsite Duration: Full time / Direct Hire The Principal Data Engineer within the Data Science and Analytics team, plays a crucial role in ...

Sr. Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Five (5) years of experience as a Data Engineer, Database Engineer, Oracle Engineer, Systems Engineer, Software Engineer. ALTERNATE EDUCATION: Master's Degree in Computer Science, Computer ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

The Data Engineer will build and maintain data integration infrastructure for the North American Gas and Power trading desk, ensuring reliable data flows to support commercial decision-making and ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Big Data Engineer Houston Texas (Remote to start) Long Term Responsible for designing, developing, testing, operating and maintaining ETL pipelines/processes using Informatica. Expertise in working ...

Sr. Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Five (5) years of experience as a Data Engineer, Database Engineer, Oracle Engineer, Systems Engineer, Software Engineer. ALTERNATE EDUCATION: Master's Degree in Computer Science, Computer ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Data Engineer (Full Time Position) Houston, TX Get to Know Us: CG Infinity, Inc. is a technology consulting firm that was founded in 1998. We offer solutions that are tailored to the needs of each ...

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Showing results 1-20

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 Jun 17, 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 are Weekend Data Engineers?

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 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 typical expectations and work patterns for a Weekend Data Engineer position?

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 are the key skills and qualifications needed to thrive as a Weekend Data Engineer, and why are they important?

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 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 1% Locum Tenens, 2% As Needed, 59% Full Time, 34% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $115,433 per year, or $55.5 per hour.
Data Engineer

$70 - $85/hr

Other

Medical, Retirement

Posted 9 days ago


Job description

Title: Data Engineer
Location: Spring, TX on site 3 days per week. Tues, Wed, Thurs onsite. Only candidates local to the Houston, TX area will be considered. 
Duration: 6 + months
Compensation: $70 to $85 per hour W2
Work Requirements: US Citizen, GC Holders or Authorized to Work in the US 
Job Description:  
We are looking for a highly motivated Data Engineer with a passion for data modeling, data architecture patterns, and modern engineering practices. In this role, you will be instrumental in designing and building scalable, reliable, and high-performance data solutions that power our analytics and business intelligence platforms.
You will work closely with senior data engineers and cross-functional teams to implement robust data models and pipelines using cutting-edge tools in the Azure ecosystem. This is a unique opportunity to shape the foundation of our data infrastructure and contribute to the evolution of our data products.
Duties/Responsibilities:
  1. Design & Implement Data Models: Develop and maintain dimensional data models and semantic layers that support enterprise reporting and analytics. Apply best practices in data warehousing and data architecture.
  2. Build Scalable Data Pipelines: Create modular, reusable, and pattern-driven ETL/ELT pipelines using Azure Data Factory, Synapse Pipelines, and Databricks.
  3. Transform & Structure Data: Use Spark SQL, DBT, and Azure Synapse to transform raw data into structured, analytics-ready formats. Implement data quality checks and schema evolution strategies.
  4. Leverage Azure Technologies: Utilize Azure services such as SQL Server, Synapse Analytics, Databricks, and Delta Lake to build and manage scalable data infrastructure. and data pipelines
  5. Enable CI/CD & DevOps: Integrate data workflows with Azure DevOps and Git for version control, automated testing, and continuous deployment.
  6. Support Reporting & Visualization: Collaborate with analysts and BI developers to ensure data models are optimized for tools like Power BI.
  7. Troubleshoot & Optimize: Monitor and resolve issues in data pipelines and models. Ensure high availability and performance of data systems.
  8. Stay Ahead of the Curve: Continuously learn and apply the latest in data engineering best practices, tools, and technologies.

Skillset / Experience:  
  • 5–7 years of experience in data engineering or related roles.
  • Proven expertise in data modeling (especially dimensional modeling) and data warehouse design.
  • Hands-on experience with Azure Data Factory, Synapse Analytics, Databricks, and DBT.
  • Strong SQL and Spark SQL skills.
  • Experience with CI/CD, DevOps, and version control (Git, Azure DevOps).
  • Familiarity with Power BI or similar visualization tools.
  • Solid understanding of data integration, data quality, and data transformation best practices.
  • Strong problem-solving skills and a collaborative mindset.
 
Our benefits package includes: 
  • Comprehensive medical benefits 
  • Competitive pay, 401(k) 
  • Retirement plan 
  • …and much more! 
 
About INSPYR Solutions:  
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients’ business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com. 
INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. 
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