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Remote Data Engineering Jobs in Arizona (NOW HIRING)

Arsenault

Data Analyst (REMOTE)

Phoenix, AZ · Remote

$115K - $126K/yr

Ensures business data and analysis requirements are met by properly applying data concepts ... Utilizes programming and analytical tools, including open source programs including Python, R and ...

SynergisticIT

Data Scientist

Tempe, AZ · On-site +1

With remote work and global talent pools, even entry-level roles receive hundreds of applications ... Why Tech Companies Hire Our Candidates Today's employers are looking for developers, engineers, and ...

Phoenix Staff

Senior 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 Senior Data & AI Engineer to lead the design and delivery of secure, scalable data and AI solutions ...

Carrington

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 ... data engineering, such as Python or Java Our Company: Carrington Mortgage Holdings is a holding ...

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See Arizona salary details

$41.5K

$120.9K

$165.4K

How much do remote data engineering jobs pay per year?

As of May 28, 2026, the average yearly pay for remote data engineering in Arizona is $120,881.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $128,100.00 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 Arizona? The most popular types of Data Engineering jobs in Arizona are:
What are popular job titles related to Remote Data Engineering jobs in Arizona? For Remote Data Engineering jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineering jobs in Arizona look for? The top searched job categories for Remote Data Engineering jobs in Arizona are:
What cities in Arizona are hiring for Remote Data Engineering jobs? Cities in Arizona with the most Remote Data Engineering job openings:
Remote Data Engineering jobs near you
Infographic showing various Remote Data Engineering job openings in Arizona as of May 2026, with employment types broken down into 1% Internship, 2% As Needed, 78% Full Time, 16% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $120,881 per year, or $58.1 per hour.

Data Engineer

METASOFT SOLUTIONS LLC (Formerly - MST Solutions)

Phoenix, AZ • Remote

$114.50K - $137.50K/yr

Full-time

Posted 13 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)