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Remote Teradata Jobs in Phoenix, AZ (NOW HIRING)

YO AI Labs

AI Data Scientist Expert - Remote

Phoenix, AZ · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you ...

Mondo

Data Scientist

Phoenix, AZ · Remote

$65 - $75/hr

Remote (Candidate must reside in Pacific, Mountain, or Central time zone. Eastern time zone and international candidates will not be considered.) Start Date: ASAP Duration: Contract, 6 Months ...

Phoenix Staff

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 ...

Iridium Satellite, LLC

Data Engineer III

Chandler, AZ · Remote

$110K - $132K/yr

People across the globe, including first responders, humanitarians, global militaries, scientific researchers, and lone workers, as well as ships, aircraft and remote operations all rely on Iridium ...

Dutchbros

Lead Engineer, Data Platforms

Tempe, AZ · On-site +1

$111K - $133K/yr

This position is eligible for remote work within any state Dutch Bros currently resides in (AL, AZ, CA, CO, FL, ID, KS, KY, MO, NM, NV, OK, OR, TN, TX, UT, WA, WY) Key Result Areas (KRAs): Assess ...

Iridium Satellite, LLC

Data Engineer III

Chandler, AZ · Remote

$110K - $132K/yr

People across the globe, including first responders, humanitarians, global militaries, scientific researchers, and lone workers, as well as ships, aircraft and remote operations all rely on Iridium ...

XTG

Data Engineer

Phoenix, AZ · On-site +1

$113K - $136K/yr

This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or Raleigh-Durham ACCOUNTABILITIES: Design, develop, test, and maintain data pipelines, dataflows, notebooks ...

Dlapiper

Data Scientist

Phoenix, AZ · On-site +1

Opportunity for a hybrid work arrangement combining remote and in-office work. The specific arrangement will be determined at the time of hiring and may be modified at the firm's discretion.

New

All JobsTeradata JobsRemote Teradata JobsRemote Teradata Jobs in Phoenix, AZ

Remote Teradata information

See Phoenix, AZ salary details

$41

$53

$61

How much do remote teradata jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for remote teradata in Phoenix, AZ is $53.31, according to ZipRecruiter salary data. Most workers in this role earn between $48.46 and $57.26 per hour, depending on experience, location, and employer.

What is a remote Teradata?

Remote Teradata jobs are positions that involve working with Teradata, a leading data warehousing and analytics platform, from a location outside the traditional office environment. These roles typically include responsibilities such as database administration, development, data analysis, and system maintenance, all performed remotely. Remote Teradata professionals use secure connections to access company systems, enabling them to manage large datasets, optimize queries, and support business intelligence initiatives from anywhere. This flexibility allows companies to hire talent from a broader geographic area while also giving employees a better work-life balance.

What skills and qualifications are needed to thrive as a remote Teradata professional?

To thrive as a Remote Teradata professional, you need a strong background in database management, SQL programming, and data warehousing concepts, often supported by a degree in computer science or a related field. Familiarity with Teradata tools, data integration platforms, and certifications such as Teradata Certified Professional are commonly required. Excellent problem-solving, communication, and self-motivation are crucial soft skills for effective remote collaboration and troubleshooting. These skills ensure efficient data management, seamless teamwork, and the ability to deliver solutions in distributed work environments.

How do remote Teradata professionals typically collaborate with on-site teams and stakeholders?

Remote Teradata professionals often use a combination of video conferencing, instant messaging, and project management platforms to maintain close communication with on-site teams. They frequently participate in regular meetings to discuss project progress, troubleshoot issues, and align on database management strategies. Collaboration is essential, especially when working on large-scale data warehousing solutions, so remote professionals are expected to be proactive in providing updates and sharing insights. Clear documentation and consistent communication help bridge the gap between remote and on-site teams, ensuring seamless integration and efficient project delivery.

What is the difference between Remote Teradata vs Remote SQL Developer?

AspectRemote TeradataRemote SQL Developer
Required CredentialsTeradata certifications, SQL knowledgeSQL certifications, database knowledge
Work EnvironmentData warehousing, large-scale enterprise systemsApplication development, database management
Industry UsageData analytics, telecom, financeSoftware, finance, healthcare
Common Search/ComparisonYesYes

Remote Teradata professionals focus on managing and optimizing Teradata data warehouses, requiring specific Teradata certifications and experience with large-scale data systems. Remote SQL Developers work across various databases, including SQL Server, MySQL, and PostgreSQL, often with broader application development skills. While both roles involve SQL expertise, Remote Teradata roles are more specialized in data warehousing, whereas Remote SQL Developers have a wider scope in database and application development.

Is Remote Teradata a good place to work?

Remote Teradata roles typically involve working with data warehousing and analytics tools, requiring skills in SQL and Teradata systems. The work environment often offers flexibility and the opportunity to collaborate remotely, but job satisfaction depends on company culture and individual preferences. Researching specific employer reviews can provide more insight into the work experience.

What jobs can I do completely remotely as a Remote Teradata?

A Remote Teradata professional can typically work as a data analyst, data engineer, or database administrator, focusing on tasks such as data warehousing, query optimization, and database management using Teradata tools. These roles often require strong SQL skills, knowledge of data modeling, and the ability to work independently in a remote environment. Many companies offer these positions with flexible schedules and remote work policies.

What are the most commonly searched types of Teradata jobs in Phoenix, AZ?

The most popular types of Teradata jobs in Phoenix, AZ are:

What are popular job titles related to Remote Teradata jobs in Phoenix, AZ?

For Remote Teradata jobs in Phoenix, AZ, the most frequently searched job titles are:

What job categories do people searching Remote Teradata jobs in Phoenix, AZ look for?

The top searched job categories for Remote Teradata jobs in Phoenix, AZ are:

What cities near Phoenix, AZ are hiring for Remote Teradata jobs?

Cities near Phoenix, AZ with the most Remote Teradata job openings:

Remote Teradata jobs near you
Infographic showing various Remote Teradata job openings in Phoenix, AZ as of August 2026, with employment types broken down into 77% Full Time, 13% Part Time, and 10% Contract. Highlights an 100% Remote job distribution, with an average salary of $110,880 per year, or $53.3 per hour.

Teradata ML Data Scientist with Clear Scape Analytics

Hirekeyz Inc

Scottsdale, AZ • Remote

Contractor

Re-posted 7 days ago

Job description

Role: Teradata ML Data Scientist with Clear Scape Analytics

Location: Scottsdale, AZ (REMOTE)

Job Type: Contract

Job Description:

Role Overview:

The Financial Forecasting Analytics Resource will utilize Teradata Clearscape capabilities to develop machine learning models that provide accurate forecasts to support key financial decisions. You will partner closely with business stakeholders to understand requirements and translate them into analytical solutions. An initial focus will be developing a machine learning model to forecast annual product renewal units at the individual product level.

The Senior Application Developer will:

Use the latest tools and techniques (.NET, C#, Agile Methodologies, Web Services, TSQL, SSIS)

Prepare software for deployment to production environments

Respond to and resolve questions and issues logged by users of a live system

Manage small projects independently and work as a team member on larger projects

Perform other related duties as required and assigned

Demonstrate behaviors which are aligned with the organization’s desired culture and values


Primary Responsibilities:

  • Collaborate with finance leaders and business partners to understand forecasting challenges and requirements
  • Leverage Teradata Clearscape platform to develop, test, and deploy machine learning models that provide accurate financial forecasts
  • Start by building a forecasting model for annual product renewal units at the product level, demonstrating flexibility and adaptability of the platform
  • Evaluate multiple modeling techniques including time series, regression, and neural networks to deliver the most accurate forecasts
  • Monitor and enhance models over time to adapt to changing business conditions and improve predictive accuracy
  • Package analytical solutions into easy-to-use tools and applications tailored to business user needs
  • Clearly communicate analytical methodology, results, and insights to key stakeholders
  • Conduct knowledge transfer sessions to educate internal engineering teams on model development and usage
  • Thoroughly document modeling approach, code, and results to support knowledge transfer


Required Skills/Experience:

  • 5+ years’ experience in advanced analytics and machine learning, specifically Teradata Clearscape
  • Proficiency in Python, R, or other analytical programming languages
  • Experience building, validating, and deploying machine learning models
  • Knowledge of time series analysis and forecasting techniques
  • Financial industry experience a plus
  • Excellent communication and collaboration skills