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Weekend Data Engineer Contract Jobs in Spring, TX

Data Engineer

Houston, TX

$109K - $131K/yr

This is a Contract Opportunity with our company that MUST be worked on a W2 Only. No C2C ... Data Engineer Location: Houston, TX Contract Length: 12+ Months Job ref# 247245 Seeking a Senior ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

This is a Contract Opportunity with our company that MUST be worked on a W2 Only. No C2C ... Data Engineer Location: Houston, TX Contract Length: 12+ Months Pay: 80-90 per hr on W2 Job ref ...

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

Spring, TX · On-site

$96K - $116K/yr

Kforce has a client in Spring, TX that is seeking a Lead Data Engineer. Summary: We are looking for ... Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is ...

New

Data Engineer

Spring, TX · On-site

$96K - $116K/yr

Kforce has a client in Spring, TX that is seeking a Data Engineer. Key Tasks: * Responsible for ... Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is ...

New

Data Engineer

Spring, TX · On-site

$96K - $116K/yr

Kforce has a client in Spring, TX that is seeking a Data Engineer. Key Tasks: * Responsible for ... Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is ...

New

Data Engineer

Spring, TX · On-site

$96K - $116K/yr

Kforce has a client in Spring, TX that is seeking a Data Engineer. Key Tasks: * Responsible for ... Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is ...

New

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 ...

Senior Data Engineer

Houston, TX · On-site

$101K - $137K/yr

Senior Data Engineer Location: Houston, TX (Onsite/Hybrid - Based on Client Requirements ... Data Observability & Data Contracts Key Responsibilities: * Design and build scalable data ...

This six-month contract role involves supporting global derivatives trading production environments ... market data distribution (RTDS/DACS/ADH/ADS). • As DevOps Engineer, you will be a hands-on ...

Sr. Data Engineer

Houston, TX · On-site

$101K - $137K/yr

They are seeking a Senior Data Engineer to design and manage data pipelines and architecture that ... contract it exposes to everyone downstream. • Design and evolve our fleet of pipelines that pull ...

Drone Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Contract * Drone Data Execution Engineer Skydio * Drone Operations Data Execution * Plan execute and optimize drone missions for inspection surveillance mapping and monitoring use cases * Ensure ...

BIG-DATA-ENGINEER

Houston, TX · On-site

$53.25 - $70.50/hr

Job Role -BIG-DATA-ENGINEER // Houston, Texas Contract to hire 6+ Months. (We would not be able to hire the candidate with any %(Referal amount) once contract is over) Location - Hybrid role Houston ...

Senior Data Engineer

Houston, TX · On-site

$91K - $124K/yr

SENIOR DATA ENGINEER The Senior Data Engineer designs, builds, and owns the enterprise data ... contracts (explicit column lists, typed columns, and semantic ordering). * Defines data ...

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Showing results 1-20

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 3, 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 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 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 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 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:
Infographic showing various Weekend Data Engineer Contract job openings in Spring, TX as of July 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.

$109K - $131K/yr

Other

Posted 19 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