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Weekend Data Engineer Contract Jobs in Spring, TX

USM

JB061810 - Senior Data Engineer - 1707

Houston, TX · On-site

$101K - $137K/yr

Houston, Texas 77002 Duration: 06 Months Contract Job Summary Our client is seeking an experienced Senior Data Engineer to design, build, and optimize enterprise data solutions that enable advanced ...

ACCLiiVE

AI Platform Engineer - Houston

Houston, TX · On-site

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

iSphere

ETL Data Engineer - ETRM/SSRS-Houston, TX

Houston, TX · On-site

$109K - $131K/yr

ETL Data Engineer - ETRM / SSRS Houston, TX | Hybrid | Must Live in the Houston Area | 12+ Month Contract iSphere is looking for an ETL Data Engineer who knows their way around SQL Server, SSIS, ...

AT Staffing

MRI Tech

Conroe, TX · On-site

MRI Tech Description: Description:2-2-3 matrix schedule to include every other weekend. Data ... Contract Post Date: 07/27/2026

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All JobsData Engineer Contract JobsWeekend Data Engineer Contract JobsWeekend Data Engineer Contract Jobs in Spring, TX

Weekend Data Engineer Contract information

See Spring, TX salary details

$39.6K

$115.4K

$158K

How much do weekend data engineer contract jobs pay per year?

As of Aug 23, 2026, the average yearly pay for weekend data engineer contract 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 Contract?

A Weekend Data Engineer Contract is a temporary or freelance position where a data engineer works primarily on weekends. These roles typically involve building, maintaining, or optimizing data pipelines and databases, ensuring data quality, and supporting analytics needs during weekend shifts. This setup is often used by companies that require continuous data operations or have projects with tight deadlines. Weekend contracts can provide flexibility for both the engineer and the employer, and may be ideal for those seeking additional income or balancing other commitments.

What are some common challenges faced by Weekend Data Engineer Contractors, and how can they overcome them?

Weekend Data Engineer Contractors often encounter challenges such as limited access to stakeholders, tight turnaround times, and ensuring smooth handovers with weekday teams. To address these, clear documentation, proactive communication, and strong version control practices are essential. Working autonomously but staying aligned with the broader data engineering team helps ensure continuity and quality in deliverables.

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

To thrive as a Weekend Data Engineer Contractor, you need strong proficiency in data engineering principles, including ETL processes, database management, and programming languages like Python or SQL, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), big data tools (like Spark or Hadoop), and relevant certifications (e.g., AWS Certified Data Analytics) is typically required. Strong problem-solving, effective communication, and the ability to work independently are crucial soft skills for this role. These skills and qualifications ensure high-quality, reliable data solutions are delivered efficiently during limited weekend hours, meeting project deadlines and client expectations.

What is the difference between Weekend Data Engineer Contract vs Weekend Data Analyst Contract?

AspectWeekend Data Engineer ContractWeekend Data Analyst Contract
Required CredentialsTypically requires a degree in Computer Science, Data Engineering certifications, SQL, Python, and cloud platform knowledgeUsually requires a degree in Data Science, Statistics, or related fields, with proficiency in SQL, Excel, and data visualization tools
Work EnvironmentPrimarily technical, involving building data pipelines, ETL processes, and data infrastructureFocuses on analyzing data, generating reports, and providing insights for decision-making
Employer & Industry UsageUsed in tech companies, finance, healthcare, and industries with large data needsCommon in marketing agencies, retail, finance, and any sector requiring data reporting

Weekend Data Engineer Contracts involve building and maintaining data infrastructure, requiring technical skills and certifications. In contrast, Weekend Data Analyst Contracts focus on analyzing data and creating reports. Both roles are in demand across various industries but serve different functions within data teams.

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

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

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

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

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

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

Weekend Data Engineer Contract jobs near you
Infographic showing various Weekend Data Engineer Contract job openings in Spring, TX as of August 2026, with employment types broken down into 40% Full Time, and 60% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $115,433 per year, or $55.5 per hour.

JB061810 - Senior Data Engineer - 1707

USM

Houston, TX • On-site

$101K - $137K/yr

Contractor

This job post has expired today. Applications are no longer accepted.

Job description

  • Start Date: Interview Types
  • Skills Data Engineering, da.. Visa Types Green Card, US Citiz..

    • Job Title: Senior Data Engineer
    Location: Houston, Texas 77002
    Duration: 06 Months Contract
    Job Summary
    Our client is seeking an experienced Senior Data Engineer to design, build, and optimize enterprise data solutions that enable advanced analytics and data-driven decision-making. This individual will lead data engineering initiatives, develop scalable data pipelines, and partner closely with business stakeholders to deliver high-quality data platforms that support current and future business needs.
    This is a hands-on technical role requiring strong cloud data engineering experience, excellent problem-solving skills, and the ability to work independently while collaborating across technical and business teams.
    Responsibilities
    • Design, build, and maintain scalable data pipelines and data integration solutions.
    • Develop and implement enterprise-grade big data platforms supporting analytics and reporting.
    • Optimize data processing, storage, and pipeline performance.
    • Partner with business stakeholders to understand data requirements and translate them into technical solutions.
    • Lead data engineering efforts across moderate-complexity projects.
    • Support modern data architecture and identify opportunities to improve development, testing, and deployment processes.
    • Collaborate with cross-functional teams using Agile methodologies.
    • Ensure data quality, reliability, and scalability across solutions.
    • Mentor team members and provide technical leadership when appropriate.

    Qualifications
    • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience).
    • 7+ years of Data Engineering experience.
    • Strong experience building enterprise data pipelines.
    • Experience with cloud-based data platforms (Azure preferred).
    • Hands-on experience with Databricks, Spark, SQL, and Python.
    • Experience with Azure Data Factory, Data Lake technologies, and ETL/ELT processes.
    • Familiarity with CI/CD and modern deployment practices.
    • Strong communication skills with the ability to work directly with business stakeholders.
    • Experience working in Agile environments.

    Preferred Qualifications
    • Experience supporting advanced analytics and reporting platforms.
    • Experience leading technical workstreams or mentoring other engineers.
    • Experience working in large enterprise environments.

    Apply