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Weekend Data Engineer Contract Jobs in Texas (NOW HIRING)

GCP Data Engineer

Richardson, TX · On-site

$104K - $124K/yr

Richardson, TX Duration: Long term contract Interview: F2F (Face to Face)/Onsite Job Summary: We are seeking an experienced Google Cloud Platform (GCP) Data Engineer to design, build, and optimize ...

Data Engineer

Murphy, TX · On-site

$109K - $131K/yr

... DATA ENGINEER Location ... Plano, TX | Hybrid Option Duration: 6+ Month Contract Hybrid/Remote Requirement: Hybrid Initial ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Data Quality Engineer Location ... Dallas, TX (Hybrid - 3 days onsite) Job Type: Long-term Contract Work Authorization : Open - W2 ...

Data Engineer

Murphy, TX · On-site

$109K - $131K/yr

... DATA ENGINEER Location ... Plano, TX | Hybrid Option Duration: 6+ Month Contract Hybrid/Remote Requirement: Hybrid Initial ...

azure Data engineer

Austin, TX · On-site

$113K - $136K/yr

Austin, TX (Onsite) Contract: Multi-Year Strong Azure Data Engineering expertise across ADF, Synapse, Databricks, Lakehouse/Medallion architecture, SQL/Python/PySpark, MDM, API Management, data ...

Azure Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Austin, TX (Onsite) local only Contract: Multi-Year All visa no opt Strong Azure Data Engineering expertise across ADF, Synapse, Databricks, Lakehouse/Medallion architecture, SQL/Python/PySpark, MDM ...

azure Data engineer

Austin, TX · On-site

$113K - $136K/yr

Austin, TX (Onsite) Contract: Multi-Year Strong Azure Data Engineering expertise across ADF, Synapse, Databricks, Lakehouse/Medallion architecture, SQL/Python/PySpark, MDM, API Management, data ...

Data Engineer II

Dallas, TX · On-site

$113K - $136K/yr

This is a 6-month contract position based in Dallas, TX and requires onsite work, with relocation candidates welcome. Key Responsibilities • Design, develop, and support scalable data engineering ...

Azure Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Austin, TX (Onsite) local only Contract: Multi-Year All visa no opt Strong Azure Data Engineering expertise across ADF, Synapse, Databricks, Lakehouse/Medallion architecture, SQL/Python/PySpark, MDM ...

Data Engineer

San Antonio, TX · On-site

$170K/yr

Description We are seeking a talented Data Engineer to support the ingestion of mission-critical ... We specialize in contract, contract-to-hire, and direct placement positions. We are an equal ...

Azure Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Azure Data Engineer/ or FIS - Required Candidate Location: Dallas, TX Hybrid/3 days a week NO ... Contract Duration: 1 year+ Type of Interview Required: Video Candidate Visa's Accepted: No Opt.

Azure Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Azure Data Engineer/ or FIS - Required Candidate Location: Dallas, TX Hybrid/3 days a week NO ... Contract Duration: 1 year+ Type of Interview Required: Video Candidate Visa's Accepted: No Opt.

Data Engineer

Dallas, TX

$113K - $136K/yr

Data Engineer Who we are Iapetus Infrastructure oversees a portfolio of specialized field services ... This document is not a contract of employment, and the Company reserves the right to change this ...

Data Engineer

Plano, TX · On-site

$90K - $150K/yr

Genesis10 is currently seeking a Data Engineer for a direct hire opportunity with a Financial ... For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Data Engineer Who we are Iapetus Infrastructure oversees a portfolio of specialized field services ... This document is not a contract of employment, and the Company reserves the right to change this ...

Data Engineer - CTH

Fort Worth, TX · On-site

$38 - $45/hr

Contract to hire Rate: $38.00 - $45.00/HR Work Requirements: , Holders or Authorized to Work in the U.S. Summary: We are seeking a Senior Data Engineer to join a high-performing technology team ...

Databricks Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Austin, TX (Preferred Locals to Austin, TX and Permanent residents of USA) Duration: Long-Term Contract Key Skills: Looking for a Senior Databricks Data Engineer with SQL Server + SSIS + DW ...

Showing results 21-40

Weekend Data Engineer Contract information

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 Texas?

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

What job categories do people searching Weekend Data Engineer Contract jobs in Texas look for?

The top searched job categories for Weekend Data Engineer Contract jobs in Texas are:

What cities in Texas are hiring for Weekend Data Engineer Contract jobs?

Cities in Texas with the most Weekend Data Engineer Contract job openings:

Infographic showing various Weekend Data Engineer Contract job openings in Texas as of August 2026, with employment types broken down into 51% Full Time, and 49% Contract. Highlights an 90% In-person, 4% Hybrid, and 6% Remote job distribution.

GCP Data Engineer

IT America Inc

Richardson, TX • On-site

$104K - $124K/yr

Contractor

Re-posted 15 hours ago


Job description

Position: GCP Data Engineer

Location: Richardson, TX

Duration: Long term contract

Interview: F2F (Face to Face)/Onsite

Job Summary:

We are seeking an experienced Google Cloud Platform (GCP) Data Engineer to design, build, and optimize data pipelines and analytics solutions. The ideal candidate will have hands-on expertise with GCP services, ETL/ELT processes, and big data technologies, enabling the delivery of scalable and high-performance data solutions.

Key Responsibilities:

  • Design, develop, and maintain data pipelines and ETL/ELT workflows using GCP services such as BigQuery, Dataflow, Pub/Sub, Data Fusion, Dataproc, and Cloud Storage.
  • Build and optimize data warehouses and data lakes on GCP.
  • Collaborate with data scientists, analysts, and business stakeholders to deliver data models that meet business needs.
  • Implement data quality, governance, and security best practices.
  • Monitor and troubleshoot pipeline performance using Cloud Monitoring and Cloud Logging.
  • Automate data workflows and improve efficiency using Python, SQL, and scripting tools.
  • Stay updated on emerging GCP services and recommend adoption where beneficial.

Required Skills & Qualifications:

  • Bachelor’s degree in Computer Science, Data Engineering, or related field.
  • 5+ years of experience as a Data Engineer with hands-on GCP experience.
  • Strong skills in SQL and Python.
  • Experience with BigQuery and at least two of the following: Dataflow, Pub/Sub, Data Fusion, Dataproc, Cloud Composer.
  • Knowledge of data modeling, data warehousing, and big data architectures.
  • Experience with batch and streaming data processing.
  • Understanding of IAM, data security, and compliance requirements.

Preferred Qualifications:

  • GCP Professional Data Engineer or Associate Cloud Engineer certification.
  • Experience with Apache Beam, Kafka, or similar streaming frameworks.
  • Familiarity with CI/CD pipelines for data engineering workflows.
  • Exposure to machine learning data preparation pipelines.