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Weekend Data Engineer Contract Jobs in Arizona (NOW HIRING)

Every training session is recorded and posted to the batch after each weekend class. We are offering online training on Data Engineer. . Provide OPT Stem Ext.: Guidance and support for applying for ...

... after each weekend class. • We are offering online training on Data Engineer. . Provide OPT Stem Ext.: Guidance and support for applying for the 24-month OPT STEM extension * Help with OPT ...

Software Engineer

Phoenix, AZ · On-site

$52 - $57/hr

Contingent/Contract About the Role We are seeking a highly skilled Senior Data Engineer with expertise in Google Cloud Platform (Google Cloud Platform) and emerging AI/Agentic technologies to build ...

Lead Data & AI Engineer

Phoenix, AZ · On-site +1

$50 - $60/hr

Phoenix, AZ (hybrid remote) Type: 6-month contract to hire Pay: $50-60/hr We're looking for a Lead Data & AI Engineer to lead the design and delivery of secure, scalable data and AI solutions within ...

Software Engineer 4

Chandler, AZ · On-site

$69 - $74/hr

Contract / Contingent Resource Assignment Conversion Eligible: No About the Role We are seeking a Lead Cloud Data Platform Engineer to build and modernize the Cyber Security Data Ecosystem on a ...

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 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 the most commonly searched types of Weekend Data Engineer jobs in Arizona? The most popular types of Weekend Data Engineer jobs in Arizona are:
What are popular job titles related to Weekend Data Engineer Contract jobs in Arizona? For Weekend Data Engineer Contract jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Weekend Data Engineer Contract jobs in Arizona look for? The top searched job categories for Weekend Data Engineer Contract jobs in Arizona are:
What cities in Arizona are hiring for Weekend Data Engineer Contract jobs? Cities in Arizona with the most Weekend Data Engineer Contract job openings:
Infographic showing various Weekend Data Engineer Contract job openings in Arizona 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.

Senior Cloud Engineer - Contract

Early Warning Services

Scottsdale, AZ • Hybrid

$56.25 - $75/hr

Full-time

Posted 29 days ago


Job description

At Early Warning, we've powered and protected the U.S. financial system for over thirty years with cutting-edge solutions like Zelle, Paze, and so much more. As a trusted name in payments, we partner with thousands of institutions to increase access to financial services and protect transactions for hundreds of millions of consumers and small businesses.

Positions located in Scottsdale, San Francisco, Chicago, or New York follow a hybrid work model to allow for a more collaborative working environment.

Candidates responding to this posting must independently possess the eligibility to work in the United States, for any employer, at the date of hire. This position is ineligible for employment Visa sponsorship.

Overall Purpose

The Senior Engineer- Cloud Engineering plays a vital role in Early Warning's design, implementation, and optimization of scalable, secure and cost-effective infrastructure. The role works closely with cross-functional teams and our engineering partners to deliver high-performance cloud native solutions as we complete our multi-year cloud journey migrating mission critical application and their data from on-premise to AWS.

Essential Functions

  • Implements and optimizes cloud-native solutions using AWS services such as EC2, Lambda, S3, RDS, EKS, and more and with a keen focus on cost management and optimization.
  • Design and implement cloud infrastructure solutions that incorporate regulatory, risk, and compliance requirements by applying established security controls and engineering best practices.

  • Troubleshoots complex infrastructure problems, often spanning multiple layers of the stack and requiring collaboration across teams. Conducts root cause analyses for incidents and participates in the team's 24/7 on-call rotation.
  • Works with Security and Compliance teams to ensure cloud environments meet regulatory requirements (e.g., PCI-DSS, SOC 2, FFIEC) and supports internal and external audit reviews collecting evidence and responding to audit requests in a timely manner.
  • Implements disaster recovery plans ensuring that our systems are highly available, fault-tolerant, and able to recover from failure.
  • Implements and maintains cloud security best practices including IAM policies, VPC design, encryption and key management (KMS).
  • Contributes to the adoption and implementation of Infrastructure as code (IAC) using Terraform and leveraging CI/CD best practices.
  • Supports the cloud vulnerability management and configuration program ensuring patching meets our Service Level Agreements (SLAs).
  • Creates and maintains comprehensive technical documentation of cloud infrastructure, policies, and procedures.
  • Implements cloud infrastructure for robustness, security, and observability, including logging and alerting solutions (e.g., Prometheus, Grafana, ELK Stack, Splunk).
  • Provides technical expertise in support of building a technical plan and backlog of stories, then follows through on execution of the design and build process through to production delivery.
  • Supports the company's commitment to risk management and protect the integrity and confidentiality of systems and data.

Minimum Qualifications

  • Education and/or experience typically obtained through a bachelor's degree in computer science or a related technical field.
  • At least 7 years in Cloud Engineering or DevOps roles, with 3+ years of hands-on experience in AWS.
  • Strong expertise in AWS core services (EC2, EKS, Lambda, RDS, S3, IAM) and strong knowledge of Kubernetes (EKS) and Linux environments.
  • Hands-on Docker experience.
  • Experience in delivering business-critical systems to the market.
  • Ability to work in a collaborative team environment.
  • Knowledge of mature engineering practices (CI/CD, testing, secure coding, etc.), plus software development methodologies (Agile, Scrum, LEAN) and DevOps practices.
  • Experience implementing security & compliance controls aligned with frameworks like PCI-DSS, SOC 2, or FFIEC.
  • Experience maintaining Infrastructure as Code with Terraform.
  • Experience in implementing observability at scale for complex transactional systems.
  • High level of customer responsiveness, excellent documentation and communication skills, attention to detail, clear understanding of how to prioritize work and deal with ambiguity.
  • Current AWS (and/or other cloud-based) certification(s).
  • Background and drug screen required.

Preferred Qualifications

  • Undergraduate degree in Computer Science, Management Information Systems, or related field.
  • Experience with monitoring and alerting systems (AppDynamics) and container security solutions (e.g., Twistlock, Aqua Security).
  • Experience with other languages (C#, Ruby, Python).
  • Knowledge of ACH/EFT and real-time payment networks (RTP, FedNow).
  • Experience in FinTech, banking, or other highly regulated industries.

Physical Requirements

Working conditions consist of a normal office environment. Work is primarily sedentary and requires extensive use of a computer and involves sitting for periods of approximately four hours. Work may require occasional standing, walking, kneeling, and reaching. Must be able to lift 10 pounds occasionally and/or negligible amount of force frequently. Requires visual acuity and dexterity to view, prepare, and manipulate documents and office equipment including personal computers. Requires the ability to communicate with internal and/or external customers. Must be able to perform essential functions and physical requirements of position with or without reasonable accommodation.

The above job description is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow instructions and perform other related duties as assigned by their supervisor.

The pay scale for this position in:
Phoenix, AZ/ Chicago, IL in USD per hour is: $56.73 - $73.07

This pay scale is subject to change and is not necessarily reflective of actual compensation that may be earned, nor a promise of any specific pay for any specific candidate, which is always dependent on legitimate factors considered at the time of job offer. Early Warning Services takes into consideration a variety of factors when determining a competitive salary offer, including, but not limited to, the job scope, market rates and geographic location of a position, candidate's education, experience, training, and specialized skills or certification(s) in relation to the job requirements and compared with internal equity (peers). The business actively supports and reviews wage equity to ensure that pay decisions are not based on gender, race, national origin, or any other protected classes.

Early Warning Services, LLC ("Early Warning") considers for employment, hires, retains and promotes qualified candidates on the basis of ability, potential, and valid qualifications without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote equal employment opportunity and affirmative action, in accordance with all applicable federal, state, and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our employees.

Early Warning Services LLC is a proud participant in E-Verify, a federal program to help ensure a legal and authorized workforce. As part of our hiring process, we electronically verify the employment eligibility of all new hires through E-Verify. For more information on your rights and responsibilities under E-Verify please visit Home | E-Verify.