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Weekend Data Engineer Contract Jobs in Phoenix, AZ

Data Engineer

Phoenix, AZ ยท On-site

$113K - $136K/yr

Data Engineer Location: Phoenix, AZ onsite Job Type: Contract . * Experience with strong data engineering and big data concepts (Hadoop, SQL, Hive) * Hands-on experience with PySpark and Python

New

Data Engineer

Phoenix, AZ ยท On-site

$111K - $133K/yr

Role: Data Engineer Location: Phoenix, AZ onsite Job Type: Contract * Experience with strong data engineering and big data concepts (Hadoop, SQL, Hive) * Hands-on experience with PySpark and Python

New

Data Engineer

Scottsdale, AZ ยท On-site

$60 - $70/hr

NO Length: 6 months (potential contract to hire) Contact: Brian Merin; ; Summary: Leads the design ... Ability to work off-hours with occasional evenings, weekends, and/or holidays. Position ...

Data Engineer

Phoenix, AZ ยท On-site

$113K - $136K/yr

The Data Engineer is a hands-on technical role focused on designing, developing, and optimizing ... Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is ...

GCP Data Engineer

Phoenix, AZ ยท On-site

$113K - $136K/yr

| GCP Data Engineer | Phoenix, AZ | Contract Opportunity Location: Phoenix, AZ (Onsite/Hybrid) Duration: 12+ Months Experience Required: 5-7+ Years Visa: All Visas Accepted โšก Quick Client Feedback ...

Data Engineer /Data tester

Tempe, AZ ยท On-site

$111K - $133K/yr

Data Engineer /Data Tester Position: Data Engineer /Data Tester (either Jr. Data Tester or Jr. Data ... Contract W2 Location: Tempe, AZ Minimum Qualifications - Education & Prior Job Experience

Data Engineer

Scottsdale, AZ ยท On-site

$115K - $138K/yr

Job Title: - Data Engineer Location: - Scottsdale AZ (Day 1 Onsite) Job Type: - Contract ***Note: Need 12+ years of experience resumes*** Must have: * Strong Experience in Scala, Spark, hive SQL ...

Data Engineer

Phoenix, AZ ยท On-site

$113K - $136K/yr

Our Department of Defense contract requires US citizenship and a favorably adjudicated DOD ... Job Summary The Data Engineer will be responsible for design and development of ETL. The role will ...

Govern and evolve event schemas and contracts to support enterprise-wide interoperability and data consistency. * Guide engineering teams on best practices for distributed streaming systems ...

Big Data Engineer with Java

Phoenix, AZ ยท On-site

$54.25 - $71.75/hr

Remote Duration: 12 Months Contract Qualifications: * Bachelor's Degree in a Technical Discipline or equivalent work experience * Must have experience with Big Data toolsets: Hadoop echo system ...

AWS data engineer

Chandler, AZ ยท On-site

$63.50 - $83.50/hr

RIT Solutions, Inc. is seeking an AWS Data Engineer for a contract position. The role involves utilizing AWS services and data engineering skills to manage and process data effectively.

Project - Data Engineer II

Tempe, AZ ยท On-site

$109K - $131K/yr

As an experienced Data Engineer - Project Delivery Senior Analyst, you will have the ability to ... Partner with stakeholders to translate requirements into well-defined datasets and data contracts.

Senior GCP Data Engineer

Phoenix, AZ ยท On-site

$105K - $143K/yr

Contract Data Engineering & Pipelines * Design and develop batch and streaming pipelines using Dataflow (Apache Beam) * Build real-time data pipelines using Pub/Sub * Develop cross-project data ...

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Weekend Data Engineer Contract information

See Phoenix, AZ salary details

$44.2K

$128.8K

$176.2K

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

As of Aug 7, 2026, the average yearly pay for weekend data engineer contract in Phoenix, AZ is $128,797.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,700.00 and $136,500.00 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 Phoenix, AZ? For Weekend Data Engineer Contract jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Weekend Data Engineer Contract jobs in Phoenix, AZ look for? The top searched job categories for Weekend Data Engineer Contract jobs in Phoenix, AZ are:
Infographic showing various Weekend Data Engineer Contract job openings in Phoenix, AZ as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $128,797 per year, or $61.9 per hour.

Data Engineer

InfiCare

Phoenix, AZ โ€ข On-site

$113K - $136K/yr

Other

This job post hasย expired 2 days ago.ย Applications are no longer accepted.


Job description

Role: Data Engineer 

Location: Phoenix, AZ onsite

Job Type: Contract

Job Description

  • Experience with strong data engineering and big data concepts (Hadoop, SQL, Hive)
  • Hands-on experience with PySpark and Python 
  • Hands-on experience with SQL 
  • Experience with Apache NiFi, Starburst, and Apache Iceberg 
  • Experience with Kafka