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Remote Meta Data Science Jobs in Arizona (NOW HIRING)

MST Solutions

Data Engineer

Phoenix, AZ · Remote

$114K - $137K/yr

Yes REMOTE WORK COMMENTS: Must be available during normal working hours in MST (AZ time) POSITION ... data scientists on data initiatives and will ensure optimal data delivery architecture is ...

USAA

Director-HR Data & Analytics

Phoenix, AZ · On-site +1

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative ...

USAA

Director-HR Data & Analytics

Phoenix, AZ · On-site +1

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative ...

Mondo

Product Owner

Phoenix, AZ · Remote

$55 - $60/hr

Remote (PST hours) Start Date Is: ASAP Duration: 12-month contract (potential to convert ... Experience with AI/ML or data science initiatives * Experience supporting operational analytics (e ...

Judge Group, Inc.

Data Engineer

Scottsdale, AZ · Remote

$60 - $70/hr

Scottsdale, AZ Remote: NO Length: 6 months (potential contract to hire) Contact: Brian Merin ... Master's degree in computer science or related experience. Minimum Experience: 7 years as a Data ...

Deloitte

GCP Manager

Tempe, AZ · On-site +1

Support existing data science and modeling teams by aligning platform capabilities to business and ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Insight

You will have the flexibility to work fully remote from anywhere across Arizona. Insight at a ... S. in Computer Science, Data Science, MBA, or equivalent practical experience in the field. What ...

Iridium Satellite, LLC

Data Engineer III

Chandler, AZ · Remote

$110K - $132K/yr

... and data connectivity anywhere in the world. For over 20 years, Iridium's unique network and ... militaries, scientific researchers, and lone workers, as well as ships, aircraft and remote ...

Iridium Satellite, LLC

Data Engineer III

Chandler, AZ · Remote

$110K - $132K/yr

... and data connectivity anywhere in the world. For over 20 years, Iridium's unique network and ... militaries, scientific researchers, and lone workers, as well as ships, aircraft and remote ...

Judge Group, Inc.

BI Data Analyst

Scottsdale, AZ · Remote

$35 - $45/hr

Scottsdale, AZ Remote: NO Rate: 35$-45$/hr Length of Assignment: 6 months +, Contract to Hire The ... Science or Analytics. Minimum Experience: 2 years in a data analysis/reporting role and/or 2 years ...

General Motors

Senior AI/ML Engineer

Phoenix, AZ · On-site +1

$103K - $142K/yr

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Sunnyvale, CA ... We partner closely across AI/ML engineers , Product Operations , Product Management , Data Science ...

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All JobsRemote Meta Data Science JobsRemote Meta Data Science Jobs in Arizona

Remote Meta Data Science information

What is the difference between Remote Meta Data Science vs Remote Data Analyst?

AspectRemote Meta Data ScienceRemote Data Analyst
Required CredentialsBachelor's or higher in Data Science, Computer Science, or related fields; knowledge of programming languages like Python or RBachelor's degree in Statistics, Mathematics, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative remote teams, often with data science and engineering departmentsRemote work with focus on data reporting, visualization, and business insights
Employer & Industry UsageTech companies, e-commerce, finance, and healthcareMarketing agencies, retail, finance, and consulting firms

Remote Meta Data Science involves advanced data modeling, machine learning, and statistical analysis, often requiring programming skills and a strong technical background. Remote Data Analysts focus on interpreting data, creating reports, and visualizations to support business decisions. While both roles work remotely and require data handling skills, Meta Data Scientists typically engage in more complex modeling, whereas Data Analysts concentrate on data interpretation and presentation.

How does a remote Meta Data Science role typically collaborate with cross-functional teams despite being off-site?

In a remote Meta Data Science position, collaboration with cross-functional teams—such as product managers, engineers, and designers—is primarily facilitated through virtual communication tools like video conferencing, chat platforms, and collaborative project management software. Regular stand-ups, sprint meetings, and asynchronous updates help ensure alignment on project goals and timelines. While remote work offers flexibility, it also requires proactive communication and documentation to maintain transparency and foster effective teamwork. Building relationships remotely may take extra effort, but companies like Meta provide structured onboarding and virtual community events to support team cohesion.

What is a Remote Meta Data Scientist?

A Remote Meta Data Scientist is a professional who works for Meta (formerly Facebook) in the field of data science, but does so from a remote location instead of a traditional office. They analyze large datasets, build predictive models, and provide insights to help Meta improve its products and user experience. Their work may involve machine learning, statistical analysis, and collaborating virtually with cross-functional teams. Remote Meta Data Scientists use tools such as Python, SQL, and data visualization software to solve complex business problems.

What are the key skills and qualifications needed to thrive as a Remote Meta Data Scientist, and why are they important?

To thrive as a Remote Meta Data Scientist, you need strong analytical skills, expertise in statistics and machine learning, and a degree in a quantitative field such as computer science or mathematics. Proficiency with data science tools like Python, R, SQL, and platforms such as TensorFlow or PyTorch is typically required, along with experience using collaboration tools for remote work. Excellent communication, self-motivation, and problem-solving abilities are essential soft skills for remote collaboration and translating insights to stakeholders. These skills ensure you can independently deliver impactful data-driven solutions while effectively collaborating across distributed teams.
What are the most commonly searched types of Meta Data Science jobs in Arizona? The most popular types of Meta Data Science jobs in Arizona are:
What are popular job titles related to Remote Meta Data Science jobs in Arizona? For Remote Meta Data Science jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Remote Meta Data Science jobs in Arizona look for? The top searched job categories for Remote Meta Data Science jobs in Arizona are:
What cities in Arizona are hiring for Remote Meta Data Science jobs? Cities in Arizona with the most Remote Meta Data Science job openings:
Remote Meta Data Science jobs near you
Infographic showing various Remote Meta Data Science job openings in Arizona as of June 2026, with employment types broken down into 69% Full Time, 28% Part Time, 2% Contract, and 1% Nights. Highlights an 74% Physical, 10% Hybrid, and 16% Remote job distribution.
Data Engineer

Data Engineer

MST Solutions

Phoenix, AZ • Remote

$114K - $137K/yr

Contractor

Posted 11 days ago

Job description

POSITION TITLE: Data Engineer
OFFICE LOCATION: Phoenix, AZ
CORE TIME ZONE: MST
FULL-TIME WORKING REMOTELY (from home):    Yes
REMOTE WORK COMMENTS: Must be available during normal working hours in MST (AZ time)
POSITION SUMMARY:
We are looking for a savvy Data Engineer to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company's data architecture to support our next generation of products and data initiatives
 
PRINCIPAL RESPONSIBILITIES:
• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data' technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.
• Troubleshoots issues with minimal guidance, identifies bottlenecks in existing data workflows and provides solutions for a scalable, defect-free application
• Works with onshore/offshore team to analyze, develop and improve pipeline run times as well as produce accurate defect free code
• Complies with Company policy and practices relating to the System Development Life Cycle.
• Provides Tier 3 support and resolution of IT issues escalated by IT Customer Support.
• Support audit and compliance reporting requests. 
• Support the operation of MarkLogic and Snowflake products on a 24/7 basis as needed.
• Supports production environment in the event of emergency
• Participate in on-call support 24x7 weekly rotation of the operation of Informatica.
• Performs other job-related duties as assigned or apparent.
MINIMUM QUALIFICATIONS:
• 2+ years of experience in a Data Engineer role, who has attained a bachelor's degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. 
• AWS: 1 year experience
• DevOps Practices: 1 year experience
• 2+ years' experience working with data warehousing, ETL development and ETL architecture.
• 2+ years' experience combined experience with any of the following database technologies (RDBMS:  MSSQL, MySQL Oracle; NoSQL:  MarkLogic, Snowflake, DynamoDB, Redis).
• 2 years' experience working on large data initiatives (?5 terabytes).
• 1 years' experience with JavaScript
PREFERRED QUALIFICATIONS:
• 2+ years' experience working with data warehousing, ETL development and ETL architecture.
• 2+ years' experience combined experience with any of the following database technologies (RDBMS:  MSSQL, MySQL Oracle; NoSQL:  MarkLogic, Snowflake, DynamoDB, Redis).
• 2 years' experience working on large data initiatives (?5 terabytes).
• 1+ years' experience with JavaScript
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data' data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• Good knowledge and experience of working with OO Javascript, XHTML, CSS, XML, Ajax and one or more JavaScript libraries (e.g. Prototype, JQuery) 
• Experience with web services (e.g. RESTful services), including the ability to programmatically interact with data formats that may include XML, JSON and RDF 
• Experience with writing software for complex web-based business applications which makes use of client-side data capture, validation and presentation 
• Working knowledge of version control systems (e.g. SVN, Git)
 

Education:Employment Type: CONTRACTOR

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