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Remote Azure Data Factory Jobs in Arizona (NOW HIRING)

AI/ML Engineer II

Phoenix, AZ · On-site +1

$113K - $136K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Leverage understanding of models and collaborate with Data Scientists to refactor the code into IT ...

... Azure * Prior exposure to healthcare payer or ACO data * Prior exposure to EHR systems, clinical ... Location This role is ideally based in Seattle, Washington, but remote work within the United ...

Remote, US-based. Apply directly here: provn.co/org/arrivia/jobs/fecb14e9 -2a0b-4549-a059 ... Bonus points for working knowledge of Azure AI Foundry, RAG, LangChain, or graph-based data ...

Agentic Software Engineer II

Scottsdale, AZ · Remote

$97K - $133K/yr

Remote, US-based. Apply directly here: provn.co/org/arrivia/jobs/7bf95196 -a0e0-4a73-97fa ... Bonus points for working knowledge of Azure AI Foundry, RAG, LangChain, or graph-based data ...

Senior Agentic Software Engineer

Scottsdale, AZ · Remote

$122K - $161K/yr

Remote, US-based. Apply directly here: provn.co/org/arrivia/jobs/eb37a2b9 -e60d-4cac-8a3b ... Bonus points for working knowledge of Azure AI Foundry, RAG, LangChain, or graph-based data ...

$65K - $75K/yr

Reporting, data collection, and record keeping. Other duties as assigned. This position may offer ... remote work, shall be performed within Arizona. Job Duties: This position reviews factory-built ...

Agentic Software Engineer III

Scottsdale, AZ · Remote

$57.50 - $77.25/hr

Remote, US-based. Apply directly here: provn.co/org/arrivia/jobs/1721d3e0 -376a-4f33-8c28 ... Bonus points for working knowledge of Azure AI Foundry, RAG, LangChain, or graph-based data ...

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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:
AI/ML Engineer II

AI/ML Engineer II

USAA

Phoenix, AZ • On-site, Remote

$113K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago


USAA rating

8.3

Company rating: 8.3 out of 10

Based on 260 frontline employees who took The Breakroom Quiz

40th of 149 rated banks


Job description

Why USAA?

At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.

Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful.

We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs.

The Opportunity

Employer: United Services Automobile Association

Tasks: Contribute to the development, testing, implementation, and integration of processes with business applications that utilize machine learning model predictions and classifications to inform or drive business activities. Leverage understanding of models and collaborate with Data Scientists to refactor the code into IT maintainable solutions that follows best practices and meets appropriate coding standards. Adhere to and applies ML development standards and coding best practices. Work with cross-functional team to contribute to machine learning projects throughout the machine learning lifecycle to include analysis, solution design, data pipeline engineering, testing, deployment, scheduling, production support, API development, and application integration in support of GenAI applications, ML frameworks/libraires, and ML models. Assist with designing and writing test scripts to verify data integrity and application of functionality. Review functionality of existing test scripts for understanding. Develop familiarity of machine learning engineering best practices by participating in trainings, reviewing documentation, and reading code from existing solutions. Configure, manage, and set up AI/ML infrastructure components in cloud/on-prem environments for projects and the AI/ML community stakeholders, including AWS, GCP, graph databases. Ensure risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. May allow for partial telecommute.

Requirements: Will accept a Bachelor's degree in Computer Science, Computer Software, Computer Engineering, Information Technology, Applied Sciences, Mathematics, Physics, or related field followed by 2 years of work experience in job offered or in a related occupation. Position requires:

  • Programming Languages: Pandas, NumPy, PySpark, Snowflake SQL, BigQuery, HTML and CSS;
  • Machine Learning & NLP Frameworks: Scikit-learn, XGBoost, TensorFlow, PyTorch, and NLTK;
  • Cloud Platforms & Data Infrastructure: Google Cloud Platform (Vertex AI, BigQuery, and Cloud Storage), Microsoft Azure, AWS (S3 and EC2), Snowflake Snowpark, and OpenShift; and
  • Workflow Orchestration & DevOps: Apache Airflow, Control-M, GitLab CI/CD, Docker, FastAPI, Flask, and Domino

Worksite: One Norterra Drive, Phoenix, AZ 85085

Relocation assistance is Not Available for this position.

This position is eligible for the Employee Referral Program.

#DNP

Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.

Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.

For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.

Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.

USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.


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