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

Viasat, Inc.

Data Engineer

Tempe, AZ · On-site +1

$174K - $261K/yr

... Engineering, Software Engineering, Electrical Engineering, Math, Physics or a related field ... Experience with scaled data environments and Streaming technologies like Kafka and Spark

Viasat

Data Engineer

Tempe, AZ · On-site +1

$174K - $261K/yr

... Engineering, Software Engineering, Electrical Engineering, Math, Physics or a related field ... Experience with scaled data environments and Streaming technologies like Kafka and Spark

Virtuous Software

Lead Data Platform Engineer

Phoenix, AZ · On-site +1

$113.70K - $136.50K/yr

This is not a traditional data engineering role focused on building one-off pipelines, dashboards, or ad hoc reports. Success in this role comes from designing and building durable platform ...

TEEMA

Software Automation Engineer

Phoenix, AZ · Remote

$120K - $130K/yr

Remote (Must reside in an approved state - see below) Employment Type: Full-Time Compensation ... General Experience: 5+ years in Software Development or Data Engineering with a focus on ETL and ...

TEEMA

Senior Automation Engineer

Phoenix, AZ · Remote

$140K - $150K/yr

Remote (Must reside in an approved state - see below) Employment Type: Full-Time Compensation ... General Experience: 8+ years in Software Development or Data Engineering with a strong emphasis on ...

Inherent Technologies

Sr. Data Engineer

Chandler, AZ · Remote

$117.20K - $140.70K/yr

Strong Python and SQL programming Experience with Data warehousing techniques(Star Schema, Snowflaking, Normalization, Denormalization, Aggregations) Working experience in Health Care domain ...

Deloitte

GCP Engineer

Tempe, AZ · On-site +1

The practice helps clients modernize technology and data platforms and apply engineering to mission ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

The State of Arizona

DATA ANALYST INTERMEDIATE

Phoenix, AZ · On-site +1

$65.97K - $120.53K/yr

All work, including remote work, should be performed within Arizona unless an exception is properly ... Partner with the IDS Director and Principal Data Engineer to expand integrated datasets within the ...

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 ...

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All JobsRemote Data Engineering JobsRemote Data Engineering Jobs in Gilbert, AZ

Remote Data Engineering information

See Gilbert, AZ salary details

$44.4K

$129.3K

$176.9K

How much do remote data engineering jobs pay per year?

As of May 28, 2026, the average yearly pay for remote data engineering in Gilbert, AZ is $129,302.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,100.00 and $137,100.00 per year, depending on experience, location, and employer.

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

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 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.

How can I make $2000 a week working from home?

Remote data engineers can earn $2000 or more per week by working on high-demand projects, leveraging specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL. Achieving this income often requires advanced expertise, certifications, and experience with tools such as AWS or Azure, as well as the ability to handle multiple clients or projects simultaneously.

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 Gilbert, AZ? The most popular types of Data Engineering jobs in Gilbert, AZ are:
What are popular job titles related to Remote Data Engineering jobs in Gilbert, AZ? For Remote Data Engineering jobs in Gilbert, AZ, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineering jobs in Gilbert, AZ look for? The top searched job categories for Remote Data Engineering jobs in Gilbert, AZ are:
What cities near Gilbert, AZ are hiring for Remote Data Engineering jobs? Cities near Gilbert, AZ with the most Remote Data Engineering job openings:
Remote Data Engineering jobs near you
Infographic showing various Remote Data Engineering job openings in Gilbert, AZ as of May 2026, with employment types broken down into 1% Internship, 2% As Needed, 82% Full Time, 11% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,302 per year, or $62.2 per hour.

Director - Responsible AI, Governance & Compliance - AIRLHV

NavitasPartners

Chandler, AZ • On-site, Remote

Full-time

Posted 17 hours ago

Job description

Director – Responsible AI, Governance & Compliance

Location: US / Canada (Remote/Hybrid)
Type: Contract / Full-Time

Overview:

We are looking for a Director-level leader to drive Responsible AI, governance, and compliance across enterprise AI and data initiatives.

Key Responsibilities:

  • Lead enterprise AI governance strategy and implementation
  • Establish frameworks for ethical AI, compliance, and regulatory alignment
  • Oversee governance for AI/ML and GenAI deployments
  • Collaborate with stakeholders across data, engineering, and business teams

Required Skills:

  • Deep expertise in AI governance, compliance, and regulatory frameworks
  • Strong cloud exposure (AWS, Azure, GCP)
  • Proven leadership in enterprise-scale AI programs

Nice to Have / Coverage:

  • Experience with enterprise data platforms (Databricks, Snowflake, Synapse, BigQuery)
  • Understanding of ML/AI engineering and MLOps pipelines
  • Expertise in GenAI governance, agentic AI oversight
  • Alignment with cloud/data platform architecture strategies

For more details reach at resumes@navitassols.com.