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Remote Azure Data Factory Jobs in Arizona (NOW HIRING)

The Cybersecurity Engineer II is an expert in Microsoft Azure Identity and Access Management (IAM ... This is a remote position. In this role you would work Monday through Friday normal business hours ...

Field Engineer

Gilbert, AZ ยท Remote

$67K - $101K/yr

Execute and manage commissioning activities for modular data centers from factory acceptance ... LI-Remote About us - Johnson Controls Careers Get to know more about Johnson Controls, including ...

... Azure, or Google Cloud Platform. * Familiarity with data warehousing, OLAP systems, and large-scale ... Hybrid or remote work arrangements may be available based on business needs.

You will have the flexibility to work fully remote from anywhere across Arizona. Insight at a ... About the role Role Overview As the AI GTM Specialist, Data & Analytics you will be the primary ...

Senior DevOps Engineer (US REMOTE)

Phoenix, AZ ยท Remote

$140K - $170K/yr

Government Contract Mandates and access to sensitive public safety data. * Experience with ... Experience with CI/CD tooling (GitHub, BitBucket, Azure DevOps) * Experience with DVCS tooling (Git ...

Showing results 21-40

Remote Azure Data Factory information

What are the key skills and qualifications needed to thrive as a remote Azure Data Factory engineer, and why are they important?

To thrive as a Remote Azure Data Factory Engineer, you need strong expertise in data integration, ETL processes, and cloud-based data solutions, typically supported by experience in Microsoft Azure and a relevant technical degree. Proficiency in Azure Data Factory, SQL, Power BI, and familiarity with other Azure services or certifications (such as Azure Data Engineer Associate) is highly beneficial. Excellent problem-solving, communication, and time management skills are crucial for effective remote collaboration and troubleshooting. These competencies ensure efficient data pipeline development, seamless data flow, and the ability to deliver robust analytics solutions in distributed environments.

What are some common challenges faced by remote Azure Data Factory professionals, and how can they be addressed?

Remote Azure Data Factory professionals often encounter challenges related to communication and collaboration, especially when integrating data from multiple sources across different teams. To address this, it's essential to establish clear documentation practices, utilize collaboration tools such as Microsoft Teams, and schedule regular check-ins with stakeholders. Additionally, proactively managing data pipeline failures and ensuring security compliance in a remote setting requires strict adherence to best practices and close coordination with IT and security teams. Building a strong support network and maintaining open lines of communication are key to overcoming these challenges and succeeding in the role.

What is the difference between Remote Azure Data Factory vs Remote Data Engineer?

AspectRemote Azure Data FactoryRemote Data Engineer
CredentialsAzure certifications, data integration skillsData engineering certifications, cloud platform knowledge
Work EnvironmentCloud-based, primarily using Azure platformCloud and on-premises environments, broader tech stack
Industry UsageData integration, ETL workflows in AzureData pipeline development, database management
Search & Comparison IntentFocus on specific tool (Azure Data Factory)Broader data engineering roles

Remote Azure Data Factory specialists focus on designing and managing data workflows within the Azure platform, often requiring specific certifications. Remote Data Engineers have a broader scope, building and maintaining data pipelines across various environments. While both roles involve data integration, Azure Data Factory roles are more tool-specific, whereas Data Engineers encompass a wider range of technologies and responsibilities.

What is a remote Azure Data Factory professional?

A Remote Azure Data Factory professional is an IT specialist who designs, builds, and manages data integration solutions using Microsoft Azure Data Factory while working from a remote location. They create and manage data pipelines to move and transform data between various sources and destinations in the cloud. These professionals often collaborate with data engineers, analysts, and business stakeholders to ensure data is accessible, secure, and reliable for analytics and reporting needs.
What are the most commonly searched types of Azure Data Factory jobs in Arizona? The most popular types of Azure Data Factory jobs in Arizona are:
What are popular job titles related to Remote Azure Data Factory jobs in Arizona? For Remote Azure Data Factory jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Remote Azure Data Factory jobs in Arizona look for? The top searched job categories for Remote Azure Data Factory jobs in Arizona are:
What cities in Arizona are hiring for Remote Azure Data Factory jobs? Cities in Arizona with the most Remote Azure Data Factory job openings:

Software Engineer (Remote Opportunity)

Universal Background Screening

Phoenix, AZ โ€ข On-site, Remote

Other

Posted 16 days ago


Job description

Universal Background provides industry leading people insights to safety sensitive organizations in a simplified experience through our best-in-class background screening, drug testing, occupational health, and verification services. We are proudly ranked as an industry leader in quality and service delivery. Job Summary: The Software Engineer is responsible for designing, developing, and maintaining high-quality software applications and systems.

This role requires hands-on technical expertise across the .NET framework, multiple database platforms, and AWS data warehousing solutions, along with proficiency in modern AI-assisted development tools. The ideal candidate is a strong individual contributor who can work both independently and collaboratively with cross-functional and distributed teams to deliver reliable, scalable software solutions. Key Responsibilities: Software Development & Architecture Design, develop, and maintain scalable, maintainable applications using .NET framework and related technologies Write clean, well-documented code following established coding standards and best practices Design and optimize database schemas across SQL and NoSQL platforms Support and contribute to data warehousing solutions using AWS services Ensure application performance, security, and reliability Participate in architectural discussions and contribute technical recommendations Database & Data Management Design queries and optimize database performance Contribute to ETL processes and data pipelines Ensure data integrity and compliance with relevant standards Assist with database migrations and version control AI-Assisted Development Use AI coding assistants (e.g., GitHub Copilot, Claude, Cursor) to accelerate development and improve code quality Apply effective prompting techniques for code generation, debugging, and refactoring Review and validate AI-generated code for accuracy, security, and maintainability Stay current on emerging AI development tools and share learnings with the team Project & Delivery Collaborate with product managers and senior engineers to define requirements and priorities Participate in Agile/Scrum ceremonies, including sprint planning, daily standups, and retrospectives Debug and troubleshoot issues across development and production environments Contribute to testing efforts, including unit and integration testing Document technical specifications and maintain system documentation Support cloud-based applications and services, helping monitor performance and resolve incidents Collaboration & Communication Work closely with cross-functional teams including product, QA, DevOps, and business stakeholders Participate in code reviews and contribute to improving overall code quality Communicate technical concepts clearly to both technical and non-technical audiences Collaborate effectively with onshore and offshore team members across time zones Continuous Improvement Identify opportunities for process improvements and automation Support CI/CD pipeline usage and DevOps practices Contribute to post-mortem analyses and apply learnings to future work Required Qualifications: Education Bachelor's degree in Computer Science, Information Technology, Engineering, or related field, or equivalent practical experience Experience 2+ years of professional software development experience Hands-on experience with the required technology stack 1+ years of hands-on experience using AI-assisted development tools such as GitHub Copilot, Claude, Cursor, or similar platforms Technical Skills Working proficiency in .NET Framework (.NET Core, ASP.NET, C#) Understanding of object-oriented programming, design patterns, and SOLID principles Experience with RESTful API design and development Familiarity with front-end technologies (HTML, CSS, JavaScript, modern frameworks) Experience with relational databases (SQL Server, MySQL, or PostgreSQL); exposure to NoSQL platforms (e.g., MongoDB) a plus Basic understanding of AWS or Azure cloud platforms Familiarity with version control systems (Git, GitHub, GitLab, or Azure DevOps) Hands-on experience with AI-assisted development tools (code suggestions, completions, chat/refactoring features) Understanding of AI tool limitations, security considerations, and best practices Preferred Qualifications: Experience with Entity Framework or other ORM tools Familiarity with AWS services (Redshift, S3, Glue, Lambda, EC2) or Azure equivalents Exposure to dimensional modeling or data warehousing concepts Relevant certifications (AWS, Azure, database, or Scrum/Agile) Key Competencies Strong problem-solving and analytical thinking Excellent written and verbal communication skills Attention to detail and commitment to code quality Ability to work effectively both independently and as part of a team Adaptability and willingness to learn new tools and technologies Ability to collaborate across time zones and with distributed team members Additional Skills Familiarity with CI/CD tools and practices Basic knowledge of containerization (Docker) a plus Experience with Agile/Scrum methodologies Familiarity with collaboration tools (Jira, Confluence, Slack, Microsoft Teams, Zoom) Special Requirements: Must be available for 24/7 on-call responsibilities, including weekends and holidays

Must be proficient in the English language, both written and verbal. Prolonged periods sitting at a desk and working on a computer. Ability to lift 50 pounds.

Selected candidates will be required to pass a comprehensive background check and drug screening. Universal Background is unable to sponsor or take over sponsorship of employment Visa. Universal Background is committed to creating a diverse work environment and we are proud to be an Equal Opportunity Employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.