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Weekend Data Engineer Contract Jobs in Spring, TX

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, ...

Georgia IT

Commodity Software Engineer

Houston, TX · On-site

Houston, TX (On-site locals only) The contract Software Engineer is a critical member of a cross ... Skills: .NET, Android, Application Performance, Cassandra, COBOL, Data Analyst, Data Engineer, Dev ...

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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 Sep 13, 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 September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 14% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $115,433 per year, or $55.5 per hour.

Senior AWS Python Data Engineer

Houston, TX • On-site

Ethereum Technologies LLC
See more jobs at Ethereum Technologies LLCexternal

$109K - $131K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Responsibilities
  • Collaborate with Data Scientists and Platform Engineers to build scalable ML and data systems
  • Develop and maintain high-performance, distributed data pipelines and machine learning infrastructure
  • Convert machine learning models into production-ready services and APIs
  • Automate model training, validation, deployment, and inferencing pipelines
  • Design fault-tolerant, secure, and cost-effective cloud-native architectures using AWS services
  • Implement Infrastructure as Code (IaC) using CloudFormation, Terraform, or AWS CDK
  • Build CI/CD pipelines for deployment and testing automation
  • Establish software engineering best practices including modularity, reusability, test coverage, and documentation
Requirements
  • 5+ years of professional experience developing backend systems using Python
  • Strong background in building and optimizing large-scale data pipelines and distributed systems
  • Experience deploying machine learning models and managing ML workflows in production
  • Solid understanding of software engineering principles including design patterns, version control, unit testing, and CI/CD
  • Familiarity with object-oriented and functional programming practices
  • Experience developing RESTful APIs and microservices
  • Proven experience with cloud engineering on AWS, especially services like SageMaker, Glue, Lake Formation, and Athena
  • Infrastructure as Code experience using CloudFormation, Terraform, or AWS CDK
  • Experience with graph technologies and knowledge graphs (e.g., Neo4j, Amazon Neptune) is a plus
Preferred Qualifications
  • Prior experience working with machine learning operations (MLOps) or AI platform teams
  • Knowledge of knowledge graph construction and semantic modeling
  • Background in big data environments and real-time data processing frameworks

ETHEREUM TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ETHEREUM TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ETHEREUM TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract

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