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Remote Data Engineering Jobs in Tempe, AZ (NOW HIRING)

Inherent Technologies

Azure Databricks Architect

Chandler, AZ · Remote

$65 - $84.75/hr

Minneapolis/Remote 12+ years of Data Solutions Design/Development Experience with at-least 2+ years ... engineering solutions with hands-on in any 2 or more of : Azure Data Factory, Azure DataBricks ...

Banner Health

Senior Data Platform Architect

Phoenix, AZ · On-site +1

$63.75 - $85.25/hr

You define the patterns and standards -- engineering teams build against them. This isn't a design ... This is a remote position. In this role you would work Monday through Friday normal business hours ...

Banner Health

Senior Data Platform Architect

Phoenix, AZ · On-site +1

$63.75 - $85.25/hr

You define the patterns and standards -- engineering teams build against them. This isn't a design ... This is a remote position. In this role you would work Monday through Friday normal business hours ...

Koantek

Databricks Platform Architect

Chandler, AZ · Remote

Lead Data Platform Architect / Data bricks Migration Lead Location: Remote Position Type: Contract ... Pipeline Engineering: Design distributed processing frameworks, control flows, and configuration ...

YO AI Labs

SWE AI Training Data Expert - Remote

Phoenix, AZ · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

Koantek

Resource Manager

Chandler, AZ · Remote

Remote (Coverage for EST & PST required) Role Overview As the Resource Manager for Koantek ... Familiarity with the Databricks ecosystem or similar data engineering platforms.

YO AI Labs

Backend Developer - Remote

Phoenix, AZ · Remote

$80 - $120/hr

Create reinforcement learning environments for software engineering tasks. * Design tasks involving ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

YO AI Labs

Backend Engineer - Remote

Phoenix, AZ · Remote

$80 - $120/hr

Create reinforcement learning environments for software engineering tasks. * Design tasks involving ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

YO AI Labs

AI Engineer - Remote

Phoenix, AZ · Remote

$80 - $120/hr

Create reinforcement learning environments for software engineering tasks. * Design tasks involving ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

YO AI Labs

Frontend Developer - Remote

Phoenix, AZ · Remote

$80 - $120/hr

Create reinforcement learning environments for software engineering tasks. * Design tasks involving ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

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Showing results 41-60

All JobsData Engineering JobsRemote Data Engineering JobsRemote Data Engineering Jobs in Tempe, AZ

Remote Data Engineering information

See Tempe, AZ salary details

$42.6K

$124.2K

$170K

How much do remote data engineering jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote data engineering in Tempe, AZ is $124,239.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,700.00 and $131,700.00 per year, depending on experience, location, and employer.

What is remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

What are the key skills and qualifications needed to thrive as a remote data engineer?

To thrive as a Remote Data Engineer, you need strong programming skills (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

What is the difference between Remote Data Engineering vs Remote Data Analyst?

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Engineering jobs in Tempe, AZ?

The most popular types of Data Engineering jobs in Tempe, AZ are:

What are popular job titles related to Remote Data Engineering jobs in Tempe, AZ?

For Remote Data Engineering jobs in Tempe, AZ, the most frequently searched job titles are:

What job categories do people searching Remote Data Engineering jobs in Tempe, AZ look for?

The top searched job categories for Remote Data Engineering jobs in Tempe, AZ are:

What cities near Tempe, AZ are hiring for Remote Data Engineering jobs?

Cities near Tempe, AZ with the most Remote Data Engineering job openings:

Remote Data Engineering jobs near you
Infographic showing various Remote Data Engineering job openings in Tempe, AZ as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $124,239 per year, or $59.7 per hour.

Senior AI Engineer / Data Scientist

Koantek

Chandler, AZ • Remote

Contractor

Re-posted 13 days ago

Job description

Senior AI Engineer / Data Scientist (Consulting) Location: United States (Remote) Employment Type: Full-Time / Contract Experience Level: Senior About the Role: We are seeking an experienced, highly technical Senior AI Engineer / Data Scientist to join our customer-facing consulting team. This remote role requires a unique blend of advanced Machine Learning (ML) expertise, deep knowledge of MLOps principles, and a proven track record in client-facing implementation. You will design, deploy, and maintain production-grade ML solutions, including advanced Generative AI and NLP models, for our diverse client base.

Key Responsibilities: * Technical Consulting: Lead end-to-end ML implementations directly with clients, translating business problems into robust technical solutions. * MLOps and Pipelines: Design, build, and maintain production-grade ML pipelines with a strong focus on CI/CD, automation, and scalability. * GenAI and NLP Deployment: Implement and optimize cutting-edge Generative AI applications (such as LLMs and RAG) in live production settings.

* Infrastructure and Data Scale: Manage underlying infrastructure using Docker, pipeline orchestrators, and distributed computing frameworks like Apache Spark. * Stakeholder Management: Clearly communicate technical findings, proposals, and project status to both technical and non-technical audiences. Required Qualifications: * 4+ years of professional experience developing, deploying, and maintaining ML models in a live production environment (Mandatory).

* 3+ years of experience in a customer-facing consulting or Solutions Architect role. * Strong expertise in the MLOps lifecycle (model versioning, testing, monitoring, and automated deployment). * Solid hands-on experience with containerization (Docker) and data pipeline orchestration.

* Proven track record of deploying Generative AI and NLP solutions for client applications. * Excellent verbal and written communication skills. Preferred Qualifications: * Hands-on experience with modern ML platform stacks, specifically Databricks MLOps Stacks.

* Deep knowledge of large-scale data processing and distributed machine learning techniques. * A strong commitment to continuous learning in emerging ML fields and GenAI application architectures.

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