2

Remote Data Engineering Jobs in Arizona (NOW HIRING)

Senior Manager, Data Engineering

Phoenix, AZ · On-site +1

$140K - $155K/yr

The role is fully remote. Applicants in different states are encouraged to apply. Key Responsibilities Leadership & Team Management - Lead, mentor, and develop a team of data engineers and BI ...

Data Engineer

Phoenix, AZ · On-site +1

$113K - $136K/yr

... engineering services industries. XTG is part of the TTI Family of Companies ... This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or ...

Data Engineer III

Chandler, AZ · Remote

$110K - $132K/yr

... and remote operations all rely on Iridium to stay connected. We take our responsibility for ... If you are experienced in data engineering, cloud-based data platforms, and enterprise data ...

Data Engineer III

Chandler, AZ · Remote

$110K - $132K/yr

... and remote operations all rely on Iridium to stay connected. We take our responsibility for ... If you are experienced in data engineering, cloud-based data platforms, and enterprise data ...

Lead Engineer, Data Platforms

Tempe, AZ · On-site +1

$111K - $133K/yr

Deep Engineering Roots: You are an expert coder (Python and SQL) who grew up building software. 4+ ... Location Requirement: This position is eligible for remote work within any state Dutch Bros ...

Data Solutions Engineer

Tempe, AZ · On-site +1

$91K - $156K/yr

Bachelor's Degree in Computer Science, Data Science, Engineering, or related field - Required * 7 years of experience in data engineering, software engineering, systems integration, or a related ...

Lead 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 ...

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 ...

Data Engineer II

Phoenix, AZ · On-site +1

$108K - $130K/yr

We are open to hiring remote if we find the right talent in any of the following states: AL, AR, AZ ... S.) in Science, Technology, Engineering, or Mathematics, or equivalent practical experience * 5+ ...

next page

Showing results 1-20

Remote Data Engineering information

See Arizona salary details

$41.5K

$120.9K

$165.4K

How much do remote data engineering jobs pay per year?

As of Jul 9, 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.

Can I work remotely as a data engineer?

Yes, remote data engineering roles are common, allowing professionals to work from various locations. These jobs often require skills in cloud platforms, programming, and data pipeline tools, and may involve collaboration through online communication tools.

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.

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.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives.

How to make $1000 a week remote?

Remote data engineers can earn $1000 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. Building a strong portfolio, obtaining relevant certifications, and working with multiple clients or on freelance platforms can help increase weekly income. Consistent remote work and advanced expertise are key to reaching this earning level.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Python, and cloud platforms remains critical for managing data workflows effectively.

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 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:
Infographic showing various Remote Data Engineering job openings in Arizona as of July 2026, with employment types broken down into 75% Full Time, 13% Part Time, and 12% Contract. Highlights an 100% Remote job distribution, with an average salary of $120,881 per year, or $58.1 per hour.
Senior Manager, Data Engineering

Senior Manager, Data Engineering

Owens & Minor

Phoenix, AZ • On-site, Remote

$140K - $155K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 5 days ago


Owens & Minor rating

6.6

Company rating: 6.6 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

261st of 353 rated logistics


Job description

Owens & Minoris a global healthcare solutions company providing essential products, services and technology solutions that support care delivery in leading hospitals, healthsystemsand research centers around the world. For over140years, Owens & Minor has delivered comfort and confidence behind thescenes,so healthcare stays at the forefront, helping to make each day better for thehospitals,healthcare partners, and communities we serve. Powered by more than 14,000 teammates worldwide, Owens & Minor exists because every day, everywhere,Life Takes Care.

Global Reach with a Local Touch

  • 140+ years serving healthcare

  • Over 14,000 teammates worldwide

  • Serving healthcare partners in 80 countries

  • Manufacturing facilities in the U.S., Honduras, Mexico, Thailand and Ireland

  • 40+ distribution centers

  • Portfolio of 300 propriety and branded product offerings

  • 1,000 branded medical product suppliers

  • 4,000 healthcare partners served

Benefits

  • Comprehensive Healthcare Plan-Medical, dental, and vision plans start on day one of employment for full-time teammates.

  • Educational Assistance-We offer educationalassistanceto all eligible teammates enrolled in an approved, accredited collegiate program.

  • Employer-Paid Life Insurance and Disability-We offer employer-paid life insurance and disabilitycoverage.

  • Voluntary Supplemental Programs- We offer additional options to secure your financial future including supplemental life, hospitalization, critical illness, and other insurance programs.

  • Support for your Growing Family- Adoption assistance, fertility benefits (in medical plan) and parental leave are available for teammates planning for a family.

  • Health Savings Account (HSA)and401(k)-We offer these voluntary financial programs to help teammates prepare for their future, as well as other voluntary benefits.

  • Paid Leave-In addition to sick days and short-term leave, we offer holidays, vacation days, personal days, andadditionaltypes of leave - including parental leave.

  • Well-Being- Also included in our offering is a Teammate Assistance Program (TAP), Calm Health, Cancer Resources Services, and discount programs - all at no cost to you.

  • The anticipated salary range for this position is $140,000-$155,000 USD Annual. The actual compensation offered may vary based on job related factors such as experience, skills, education and location.

The position is accountable for ownership of key data technologies including Snowflake, Power BI, Informatica, and related integration platforms, ensuring scalable, reliable, and cost-effective data solutions across the enterprise. The role is fully remote. Applicants in different states are encouraged to apply.

Key Responsibilities

Leadership & Team Management

- Lead, mentor, and develop a team of data engineers and BI developers

-Establishdelivery standards, performance expectations, and career development plans

-Promote a culture of accountability, innovation, and continuous improvement

-Foster a high-performing engineering culture focused on accountability, delivery excellence, innovation, operational maturity, and continuous improvement

Data Platform Ownership

- Own and manage enterprise data platforms including Snowflake, Informatica, and Power BI

- Ensure platform performance, scalability, reliability, and security

- Drive standardization of data engineering practices, architecture, and delivery frameworks

-Drive modernization of enterprise data architecture, integration patterns, and cloud data capabilities

- Establish scalable DataOps and platform governance practices to improve reliability, observability, and delivery efficiency

Portfolio & Delivery Management

- Manage a large portfolio of data and analytics demand across business functions

- Prioritize initiatives and ensure alignment with strategic objectives

- Design and implement repeatable, scalable solutions to improve speed and consistency of delivery

Roadmap & Financial Management

- Develop andmaintainmulti-year technology roadmaps for data and analytics platforms

- Lead annual budget planning, forecasting, and ongoingfinancial management

-Optimizeplatform costs whilemaintainingservice quality and delivery timelines

Solution Design & Optimization

- Evaluate solution viability including technical feasibility, cost, and long-term sustainability

- Continuously improve platforms to increase delivery velocity and operational efficiency

- Drive modernization initiatives to enhance data architecture and integration capabilities

AI & Self-Service Enablement

- Expand AI-enabled services and capabilities within the data platform ecosystem

- Enhance business self-service analytics through governed datasets and reporting frameworks

- Increase adoption of scalable, reusable data products across the organization

Stakeholder Collaboration

- Build strong partnerships across IT (Infrastructure, Applications, Security) and business units

- Translate business requirements into technical solutions aligned with enterprise standards

- Ensure transparent communication of priorities, progress, risks, and outcomes

Qualifications

Required

-Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent experience)

- 8+ years of experience in data engineering, analytics, or business intelligence

- 3+ years of experience leading technical teams

- Strongexpertisewith modern data platforms (e.g., Snowflake, ETL/ELT tools, Power BI)

- Experience managing multiple concurrent projects and prioritizing competing demands

-Demonstratedexperience developing roadmaps and managing budgets

-Strong communicationand stakeholder management skills

Preferred

- Experience with enterprise data platform modernization and cloud data architectures

- Familiarity with data governance, data quality, and metadata management practices

- Experience implementing self-service analytics frameworks at scale

- Exposure to AI/ML or intelligent automation within data platforms

If you feel this opportunity could be the next step in your career, we encourage you to apply. This position will accept applications on an ongoing basis.

Owens & Minor is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, sex, sexual orientation, genetic information, religion, disability, age, status as a veteran, or any other status prohibited by applicable national, federal, state or local law.


What Owens & Minor employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom