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

Data Scientist

Phoenix, AZ · Remote

$65 - $75/hr

Remote (Candidate must reside in Pacific, Mountain, or Central time zone. Eastern time zone and ... Candidates whose current or most recent role carries a different title (Data Analyst, ML Engineer ...

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

As a Senior Civil Engineer on our Data Center Civil Team, you will be a part of the firm's largest ... fully remote in various locations of the US. This role includes flexible work options to ...

As a Project Civil Engineer on our Data Center Civil Team, you will be a part of the firm's largest ... fully remote in various locations of the US. This role includes flexible work options to ...

As a Project Civil Engineer on our Data Center Civil Team, you will be a part of the firm's largest ... fully remote in various locations of the US. This role includes flexible work options to ...

Data Solutions Engineer II

Scottsdale, AZ · On-site +1

$115K - $138K/yr

Axon's Data and Integrations Team is seeking a Data Solutions Engineer II to design, build, and deliver end-to-end integration solutions for public safety agencies. In this role, you'll architect ...

Showing results 41-60

Remote Data Engineer information

See Phoenix, AZ salary details

$44.2K

$128.8K

$176.2K

How much do remote data engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote data engineer in Phoenix, AZ is $128,797.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,700.00 and $136,500.00 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 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.

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 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.
What are the most commonly searched types of Data Engineer jobs in Phoenix, AZ? The most popular types of Data Engineer jobs in Phoenix, AZ are:
What job categories do people searching Remote Data Engineer jobs in Phoenix, AZ look for? The top searched job categories for Remote Data Engineer jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Remote Data Engineer jobs? Cities near Phoenix, AZ with the most Remote Data Engineer job openings:
Infographic showing various Remote Data Engineer job openings in Phoenix, AZ as of August 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 2% In-person, and 98% Remote job distribution, with an average salary of $128,797 per year, or $61.9 per hour.

Data Scientist (Remote)

Sprouts Farmers Market

Phoenix, AZ • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago


Sprouts Farmers Market rating

6.8

Company rating: 6.8 out of 10

Based on 819 frontline employees who took The Breakroom Quiz

27th of 122 rated grocery stores


Job description

Overview
This is a fully remote opportunity. Sprouts is currently at the beginning of a journey to provide personalized experiences to all of our customers every time they interact with us.  The Data Scientist will join a team of other data scientists and analysts in helping develop the machine learning models, recommender systems and processes to make that vision a reality. 

Overview of Responsibilities

Analytics & Business Partnering (70%)

  • Collaborate with cross functional stakeholders to understand business requirements/KPIs to design, develop & execute analytical solutions that support decisions and improve business outcomes
  • Analyze data, identify anomalies and provide actionable insights to support business partners
  • Conduct analyses with high degree of precision and accuracy with readily available tools
  • Predict, test and measure organization initiatives to identify impacts to business outcomes
  • At regular business intervals, update and distribute reports, dashboards, presentations to executive leadership
  • Drive continuous improvements throughout the organization by improving the speed in which we can transform data into decisions, actions and quantifiable results.
  • Respond to ad hoc data and analysis requests to support business partners
  • Provide leadership and direction to ensure processes and procedures are in place to effectively use data to monitor and manage business performance.

 

Development, Machine Learning & Maintenance (30%)

  • Train and Test Supervised and Unsupervised machine learning models to predict business outcomes, segment customers or products or create recommendations or other personalized content
  • Work with IT to implement machine learning models into production
  • In partnership with IT manage any automated ETL processes, narrowcast reports and maintenance of business intelligence & database servers supporting the Enterprise and Customer Analytics team.
  • Continually improve the efficiency/usability of BI capabilities for business users
  • Participate in projects to improve business intelligence capabilities, master data management, data governance, etc.
  • Continually validate the integrity of data sources and partner with internal and external teams to remedy issues as necessary
  • Develop processes and algorithms to cleanse/standardize/join disparate data sources
  • Partner with internal and external teams to integrate new sources of data into existing datasets and/or improve the reliability and availability of existing datasets

#LI-CS1


Qualifications
  • Bachelor’s Degree in computer science, math or related field required
  • Ideal candidate would have 2-5 years of prior experience in a joint business/technical role responsible for both development and delivering business results
  • Prior role and/or project experience in Data Science demonstrating strong analytical and problem-solving skills
  • Experience training and implementing supervised and unsupervised machine learning models
  • Strong programming experience, preferably in Python
  • Advanced level of experience with databases and writing SQL
  • Advanced level of experience with Business Intelligence tools, such as, PowerBI, Tableau, etc.
  • Experience with Microsoft Azure and Databricks a plus
  • Experience with Microsoft Office Suite tools including Outlook, Excel, Word, PowerPoint, Access, Vizio, etc.
  • Familiarity with standard data formats including CSV, JSON, XML, etc.
  • Ability to excel in an environment of change, ambiguity, and incomplete information
  • Ability to work with very large, complex and disparate data sources (accessing, connecting, and analyzing)
  • High level of business acumen, retail knowledge and intuition to guide analysis and insights preferred
  • Proven ability to tell a story through data and communicate effectively with key stakeholders.
  • Ability to handle multiple priorities against multiple deadlines
  • Strong written and verbal communication skills with the ability to take and give direction while participating in a team environment
  • Ability to effectively communicate information and respond to questions from groups of peers, managers, and business partners.

Benefits

In addition to a rewarding career, Sprouts offers a comprehensive program to help support you and your family. These programs include:

  • Competitive pay
  • Sick time plan that you can use to support you or your immediate families health
  • Vacation accrual plan
  • Opportunities for career growth
  • 15% discount for you and one other family member in your household on all purchases made at Sprouts
  • Flexible schedules
  • Employee Assistance Program (EAP)
  • 401(K) Retirement savings plan with a generous company match
  • Company paid life insurance
  • Contests and appreciation events throughout the year full of prizes, food and fun!

Eligibility requirements may apply for the following benefits:

  • Bonus based on company and/or individual performance
  • Affordable benefit coverage, including medical, dental and vision
  • Health Savings Account with company match
  • Pre-tax Flexible Spending Accounts for healthcare and dependent care
  • Company paid short-term disability coverage
  • Paid parental leave for both mothers and fathers
  • Paid holidays

Get Paid Every Day!

Sprouts Farmers Market offers DailyPay - if you’re hired as an eligible employee, you’ll be able to transfer the money you’ve already earned at no extra cost, and get it the next business day, for free.  We offer DailyPay so you don’t have to wait for payday to access the money you’ve already worked for. With DailyPay, you can see how much you’ve made every day and you can transfer your money any time before payday.

 You can learn more by visiting https://www.dailypay.com/partners/sprouts-farmers-market/.


Why Sprouts

Grow with us!

If you have a passion for inspiring people and a flair for fresh food, consider applying for a job at Sprouts! With a focus on customer service, our neighborhood grocery stores offer high-quality, farm fresh produce, natural meats, plenty of scoop-your-own bulk goods and much more in a fun, friendly, old-fashioned farmer’s market setting.  Come grow your career in healthy living with a fast-paced, rapidly growing company and teams that pride themselves on empowering others along their journey.

The above statements are intended to describe the general nature and level of the work being performed by people assigned to this work. This is not an exhaustive list of all duties, responsibilities, and requirements. Sprouts’ management reserves the right to amend and change duties, responsibilities, and requirements to meet business and organizational needs as necessary.

Sprouts will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Chance in Hiring Ordinance.

California Residents: We collect information in accordance with California law, please see here for more information.

Qualifications:
  • Bachelor’s Degree in computer science, math or related field required
  • Ideal candidate would have 2-5 years of prior experience in a joint business/technical role responsible for both development and delivering business results
  • Prior role and/or project experience in Data Science demonstrating strong analytical and problem-solving skills
  • Experience training and implementing supervised and unsupervised machine learning models
  • Strong programming experience, preferably in Python
  • Advanced level of experience with databases and writing SQL
  • Advanced level of experience with Business Intelligence tools, such as, PowerBI, Tableau, etc.
  • Experience with Microsoft Azure and Databricks a plus
  • Experience with Microsoft Office Suite tools including Outlook, Excel, Word, PowerPoint, Access, Vizio, etc.
  • Familiarity with standard data formats including CSV, JSON, XML, etc.
  • Ability to excel in an environment of change, ambiguity, and incomplete information
  • Ability to work with very large, complex and disparate data sources (accessing, connecting, and analyzing)
  • High level of business acumen, retail knowledge and intuition to guide analysis and insights preferred
  • Proven ability to tell a story through data and communicate effectively with key stakeholders.
  • Ability to handle multiple priorities against multiple deadlines
  • Strong written and verbal communication skills with the ability to take and give direction while participating in a team environment
  • Ability to effectively communicate information and respond to questions from groups of peers, managers, and business partners.
Education:UNAVAILABLEEmployment Type: FULL_TIME

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