2

Remote Data Engineer Jobs in Mesa, AZ (NOW HIRING)

Data Engineer

Phoenix, AZ · Remote

$114.50K - $137.50K/yr

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 ...

Senior Data Engineer Location: Remote Salary: $165,000 - $190,000 depending on experience Reports To: CTO About Mashura Mashura is building modern software and connected device solutions that support ...

Big Data Engineer with Java

Phoenix, AZ · Remote

$55.25 - $73.25/hr

Remote Duration: 12 Months Contract Qualifications: * Bachelor's Degree in a Technical Discipline or equivalent work experience * Must have experience with Big Data toolsets: Hadoop echo system ...

Data Engineer

Tempe, AZ · On-site +1

$174K - $261K/yr

Our mission is to enable our community of data scientists, analysts, and developers to derive faster insights and reduce TTM in order to fuel Viasat growth. The day-to-day In this Software Engineer ...

Data Engineer

Tempe, AZ · On-site +1

$174K - $261K/yr

Our mission is to enable our community of data scientists, analysts, and developers to derive faster insights and reduce TTM in order to fuel Viasat growth. The day-to-day In this Software Engineer ...

... seeking a Data Center COE Service Site Manager in Arizona. This remote role involves leading ... Candidates must possess a BS in Engineering or Management and have 5+ years of relevant field ...

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 ...

Senior, Data Engineer

Chandler, AZ · Remote

$140K - $160K/yr

Come join our amazing team and work remote from home! What you'll do: Under direct supervision ... Proficiency in programming languages is commonly used in data engineering, such as Python or Java ...

AI Data Architect

Phoenix, AZ · On-site +1

$83.20K - $178.80K/yr

You will bridge advanced data engineering, governance, and AI/ML model lifecycle requirements to ... However, the remote location must within the US. How you'll spend your time: * Define and implement ...

next page

Showing results 1-20

Remote Data Engineer information

See Mesa, AZ salary details

$44.2K

$128.7K

$176.1K

How much do remote data engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for remote data engineer in Mesa, AZ is $128,707.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,600.00 and $136,400.00 per year, depending on experience, location, and employer.

What Does a Remote Data Engineer Do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

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 in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

How do remote Data Engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is a Remote Data Engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

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

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

What are the most commonly searched types of Data Engineer jobs in Mesa, AZ? The most popular types of Data Engineer jobs in Mesa, AZ are:
What are popular job titles related to Remote Data Engineer jobs in Mesa, AZ? For Remote Data Engineer jobs in Mesa, AZ, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineer jobs in Mesa, AZ look for? The top searched job categories for Remote Data Engineer jobs in Mesa, AZ are:
What cities near Mesa, AZ are hiring for Remote Data Engineer jobs? Cities near Mesa, AZ with the most Remote Data Engineer job openings:
Data Engineer

$60 - $70/hr

Other

Posted 13 days ago


Job description

Location: Scottsdale, AZ
Salary: $60.00 USD Hourly - $70.00 USD Hourly
Description: Title: Data Engineer
Location: Scottsdale, AZ
Remote: NO
Length: 6 months (potential contract to hire)
Contact: Brian Merin; ;
Summary:
Leads the design and implementation of data infrastructure, driving the evolution of the company's data pipeline architecture to support advanced analytics and business insights. The position is responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The role is a self-directed position that is comfortable supporting the data needs of multiple teams, systems and products. Provides mentorship and guidance on best practices and software design principles.
The following are essential accountabilities:
Leads the creation and maintenance of optimal data pipeline architecture, ensures scalable, efficient, and secure data processing.
Assembles large, complex data sets that meet functional and non-functional business requirements.
Mentors and guides Data Engineer team members, promoting best practices and design principles.
Engages in advanced data modeling and architecture tasks.
Champions performance tuning, troubleshooting, and optimization of datasets to ensure efficient data delivery.
Identifies, designs, and implements internal process improvements: automates manual processes, optimizes data delivery, re-designs infrastructure for greater scalability, etc.
Designs and builds the infrastructure required for optimal extraction, transformation, and loading of data from a variety of data sources using SQL and big data technologies.
Builds analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
Works with stakeholders including the Executive, Product, Data and Design teams to assist with data related technical issues and support their data infrastructure needs.
Works with data and analytics experts to strive for greater functionality in our data systems.
Responsible for managing complex queries for reporting and the application consumption.
Troubleshoots and provides root cause analysis for database software and data integrity issues.
Ability to work off-hours with occasional evenings, weekends, and/or holidays.
Position Qualifications
Minimum Education: Bachelor's degree in computer science or related experience.
Preferred Education: Master's degree in computer science or related experience.
Minimum Experience: 7 years as a Data Engineer.
Preferred Experience: 8 years as a Data Engineer.
Required Certification/ License: N/A
Preferred Certification/ License: AWS Data Engineer OR AWS Solution Architect certifications, Snowflake certifications.
Required Skills, Knowledge, and Experience:
Deep understanding of SQL and experience with multiple relational and NoSQL database solutions.
Expertise in optimizing ETL/ELT pipelines and data modeling.
Experience with version control systems and CI/CD pipeline development.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Experience supporting and working with cross-functional teams in a dynamic environment.
Demonstrated ability to lead projects and mentor junior team members.
Strong analytic skills related to working with unstructured datasets.
Develop processes and procedures supporting data transformation, data structures, metadata, dependency identification and workload management.
Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
Strong project management and organizational skills.
Graduate Degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
Experience with relational SQL (SQL Server) and NoSQL (Mongo) databases.
By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.
Contact:
This job and many more are available through The Judge Group. Please apply with us today!