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

Strategic Staffing Solutions

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Data Engineer Location: Houston, TX Contract Length: 12+ Months Job ref# 247245 Seeking a Senior Data Engineer to support Enterprise AI initiatives within the Shale & Tight business. This is a senior ...

Lorven Technologies

Data Engineer

Houston, TX · On-site

$105K - $126K/yr

Our client is looking Data Engineer for Long Term project in Houston, TX (onsite only) Below is the detail requirement. Title - Data Engineer Location - Houston, TX (onsite only) Contract duration ...

New

BC Forward

Data Engineer

Spring, TX · On-site

$47 - $61.62/hr

Job Title: Data Engineer Location: Spring, TX Duration: Contract - 3 months Pay Range: $47.07/hr $61.62/hr (W2) Job ID: 409430 About BCforward BCforward is a leading global IT consulting and ...

New

Rysun Labs Inc

Data Engineer

Houston, TX · On-site

$60/hr

Data Engineer Location: Houston Tx Experience: 4-7 Years Mandatory Certification: * Databricks Certified Data Engineer Associate OR * Databricks Certified Data Engineer Professional Key ...

Guidehouse

Data Engineer

Houston, TX · On-site

$53K - $88K/yr

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

Foxconn Assembly LLC

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 ...

Foxconn Industrial Internet - FII

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 ...

Dlapiper

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 ...

Kanak Elite Services Inc

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 ...

Guidehouse

Data Engineer

Houston, TX · On-site

$89K - $148K/yr

Guidehouse seeks a Data Engineer with some AI experience to support in building, optimizing, and maintaining data pipelines, AI solutions, and analytics platforms. The ideal candidate will have hands ...

Fervo Energy Company

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

The Data Engineer, within the Data & AI team, designs, builds, and operates the pipelines, models, and platforms that move data from the field to the people and systems that act on it - engineers ...

Fervo Energy

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

The Data Engineer, within the Data & AI team, designs, builds, and operates the pipelines, models, and platforms that move data from the field to the people and systems that act on it - engineers ...

Stanford Climate Ventures

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

The Data Engineer, within the Data & AI team, designs, builds, and operates the pipelines, models, and platforms that move data from the field to the people and systems that act on it -- engineers ...

B Capital

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

The Data Engineer, within the Data & AI team, designs, builds, and operates the pipelines, models, and platforms that move data from the field to the people and systems that act on it -- engineers ...

NAVA Software Solutions

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 ...

Kforce Technology Staffing

Data Engineer

Spring, TX · On-site

$96K - $116K/yr

Kforce is immediately seeking an experienced Data Engineer in support of our enterprise telecommunications and mass media client based in Spring, TX. The Data Engineer will support a large-scale ...

INSPYR Solutions

Lead Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Lead Data Engineer Location: Houston, TX 77002 (ONSITE) Duration: Direct Hire Work Requirements: , Holders or Authorized to Work in the U.S. We are currently seeking an experienced Lead Data Engineer ...

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

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 Sep 9, 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:

Weekend Data Engineer jobs near you
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.

Data Engineer

Houston, TX • On-site

Strategic Staffing Solutions
Professional, Scientific, and Technical Services • 201 - 500 employees
Learn more about Strategic Staffing Solutionsexternal

$109K - $131K/yr

Full-time

Re-posted 27 days ago

Job description

Job Description STRATEGIC STAFFING SOLUTIONS HAS AN OPENING. This is a Contract Opportunity with our company that MUST be worked on a W2 Only. No C2C eligibility for this position.

Visa Sponsorship is Available. The details are below. "Beware of scams.

S3 never asks for money during its onboarding process." Job Title: Data Engineer Location: Houston, TX Contract Length: 12+ Months Job ref# 247245 Seeking a Senior Data Engineer to support Enterprise AI initiatives within the Shale & Tight business. This is a senior, hands-on engineering role responsible for designing, developing, and optimizing scalable cloud-based data platforms and pipelines that enable AI, analytics, and machine learning solutions. The ideal candidate can work independently, solve complex technical problems, provide technical leadership, mentor engineers, and partner with Software Engineers, AI Engineers, Data Scientists, and business stakeholders to deliver enterprise-scale data solutions

Required Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent experience) 10+ years of Data Engineering experience Expert-level Python and SQL development Experience designing and building scalable ETL/ELT data pipelines Strong experience with AWS, Azure, or GCP Experience with distributed data processing technologies such as Spark or Databricks Experience with data modeling, data architecture, and data integration Experience with orchestration tools such as Airflow, Azure Data Factory (ADF), or AWS Glue Experience working with both structured and unstructured data Experience with CI/CD, Git, and DevOps best practices Proven experience designing enterprise-scale data platforms and pipelines Experience building data solutions supporting analytics, AI, or machine learning workloads Strong troubleshooting and root cause analysis skills Demonstrated experience providing technical leadership and mentoring Data Engineers Excellent verbal and written communication skills Ability to work independently, prioritize competing initiatives, and thrive in ambiguous environments Key Responsibilities Design, develop, and optimize scalable cloud-based data pipelines and platforms Translate complex business requirements into technical solutions Partner with Software Engineers, AI Engineers, Data Scientists, and business stakeholders to deliver enterprise AI data solutions Lead the design and implementation of scalable, secure, and maintainable data architectures Improve existing data infrastructure through automation and engineering best practices Ensure data quality, governance, reliability, and platform performance Troubleshoot production issues and perform root cause analysis Mentor junior and mid-level Data Engineers while providing technical leadership Drive engineering standards, documentation, and code quality

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