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Data Transfer Jobs in Arizona (NOW HIRING)

Info-Ways

ETL/Data tester

Phoenix, AZ

Company Description IT Role: ETL/Data tester Location: Phoenix, AZ Duration: 6+ Months Only GC or Citizens BGV will be done for the selected candidates. 5 -8 Years of Software Quality Assurance ...

E-Solutions

Data engineer (ETL/ELT)

Phoenix, AZ · On-site

Data Engineer (ETL/ELT) Work Location (City, State) San Antonio/Plano (TX), Phoenix (AZ) Open for Remote (Yes/No) No Client Interview (Yes/No) Yes No. of Positions 2 Experience level (Years) 10+ Must ...

Sonsoft Inc

ETL Ab initio Consultant

Phoenix, AZ · On-site

At least 4 years of experience in Architecture, Design, Data modeling and Development of DW and ETL solutions using AbInitio Extensive experience in end-to-end implementation of Business Intelligence ...

Ryde Technologies, LLC

ETL/SQL Developer

Scottsdale, AZ · On-site

Role As an ETL/SQL Developer, you will play a key role in supporting data integration, transformation, and migration efforts across various projects. You'll be responsible for designing, developing ...

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Data Transfer information

What is a Data Transfer job?

A Data Transfer job involves the movement of data between different systems, storage devices, or platforms while ensuring data integrity, security, and compliance. Professionals in this role may handle large-scale migrations, backups, or cloud transfers using specialized tools and protocols. They also troubleshoot transfer issues, optimize data flow, and ensure minimal downtime during the process.

How can I make 2000 a week working from home?

A Data Transfer role typically involves managing data movement between systems, which can be performed remotely. To earn $2000 weekly, one might need to work full-time, develop specialized skills in data management tools, and seek positions with competitive pay rates or freelance opportunities that pay per project or hour. Building experience and certifications can also increase earning potential in this field.

What are some of the common challenges faced by data transfer specialists?

Data transfer specialists often face challenges such as working with large volumes of sensitive information while maintaining data integrity and security throughout the migration process. Complexities may arise when dealing with incompatible systems, legacy platforms, or limited downtime windows for critical business operations. Effective collaboration with IT, data owners, and project managers is key to overcoming these obstacles and ensuring a smooth transfer. Developing strong troubleshooting skills also helps address unexpected issues quickly and minimize disruption to the organization.

What are the key skills and qualifications needed to thrive in the Data Transfer position, and why are they important?

To thrive in a Data Transfer role, you need strong attention to detail, data management experience, and an understanding of data privacy regulations, typically supported by a degree in information technology or a related field. Familiarity with data migration tools, database management systems, and file transfer protocols is essential; certifications in data management or cloud services can be advantageous. Excellent organizational skills, effective communication, and problem-solving abilities help you adapt to changing project requirements and coordinate with cross-functional teams. These skills are crucial for ensuring accurate, secure, and timely data transfers that support key business operations.

What is a data transfer job?

A data transfer job involves moving data from one system, device, or location to another, often requiring knowledge of data formats, transfer protocols, and security measures. These roles may involve working with tools like data migration software, network configurations, and ensuring data integrity during the process.

What job makes $10,000 a month without a degree?

A data transfer specialist or related IT roles can sometimes earn $10,000 or more per month through experience, freelance work, or working for large organizations. High-paying positions often require strong technical skills, certifications, and experience in data management, networking, or cloud services, but may not require a formal degree.

How to make 1000 a week remote?

A data transfer role can potentially pay $1000 a week if it involves high-volume or specialized tasks, often requiring skills in data management, transfer protocols, and relevant tools. Achieving this income level may involve working full-time, gaining certifications, and building experience in data handling or related fields.
What are popular job titles related to Data Transfer jobs in Arizona? For Data Transfer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Data Transfer jobs in Arizona look for? The top searched job categories for Data Transfer jobs in Arizona are:
Data Transfer jobs near you
Infographic showing various Data Transfer job openings in Arizona as of June 2026, with employment types broken down into 92% Full Time, and 8% Temporary. Highlights an 91% In-person, and 9% Hybrid job distribution.

Data Engineer / ETL Engineer - AGS 0527 SS#

NavitasPartners

Tucson, AZ

$40/hr

Full-time

Posted 20 days ago

Job description

Job Title: Data Engineer / ETL Engineer

Location: Multiple locations across United States
Job Type: Full-Time / Contract

Note: We are looking for candidates who are eligible for Top Secret Clearance

Position Overview

We are seeking a skilled Data Engineer / ETL Engineer to design and build robust data pipelines supporting large-scale, data-intensive environments. This role focuses on ingesting, transforming, and managing diverse datasets including telemetry, sensor feeds, maintenance systems, and logistics data.

The ideal candidate will play a critical role in ensuring data quality, accessibility, and scalability for downstream analytics and operational decision-making.

Key Responsibilities

  • Design and develop data ingestion pipelines for multiple data sources, including:
    • Telemetry data
    • Sensor feeds
    • Maintenance and operational systems
    • Logistics and supply chain data
  • Build and maintain ETL/ELT workflows for structured and unstructured data
  • Normalize, cleanse, and validate large datasets to ensure data integrity
  • Integrate data from various APIs and external systems
  • Optimize data pipelines for performance, scalability, and reliability
  • Work with data lakes and distributed data platforms
  • Collaborate with data scientists, analysts, and engineering teams
  • Implement best practices for data governance and security

Required Skills & Experience

  • Strong experience with Apache Spark for large-scale data processing
  • Hands-on experience with Apache Kafka or similar streaming platforms
  • Proficiency in SQL and NoSQL databases
  • Experience designing and working with data lakes
  • Experience with API integration and data ingestion frameworks
  • Strong understanding of ETL/ELT processes and data modelling
  • Ability to work with both structured and unstructured data

Preferred / Nice-to-Have

  • Experience with real-time data processing and streaming architectures
  • Exposure to sensor or telemetry data environments
  • Knowledge of cloud-based data platforms (AWS, Azure, GCP)
  • Familiarity with data governance, security, and compliance practices
  • Experience in aerospace, defence, or other regulated industries

Work Environment

  • Collaborative, cross-functional data and engineering teams
  • High-impact, data-driven programs
  • Opportunity to work with modern data architectures and large-scale systems

Summary

This role is ideal for a data-focused engineer passionate about building scalable data pipelines and enabling advanced analytics. You will be instrumental in transforming raw data into reliable, high-quality datasets that power critical insights and operations.

For more details reach at shubham.sharma@navitassols.com.