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

Manager, Data Engineering

Phoenix, AZ ยท On-site +1

$7.60K - $8.75K/mo

MANAGER, DATA ENGINEERING Job Code: MGRDE Reports To: Director, Data Operations and Engineering Base Location: AZ or CO Work Status: Virtual Office Minimum Starting Monthly Range: $7,599 Hiring Range ...

... 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 (Hybrid or Remote)

Scottsdale, AZ ยท On-site +1

$165K - $190K/yr

Senior Data Engineer Location: Remote Salary: $165,000 - $190,000 depending on experience Reports ... engineering or analytics engineering Handsโ€on experience with Microsoft Fabric (lakehouse ...

AI Data Architect

Phoenix, AZ ยท 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 ...

Remote, United States Date Posted: May 11, 2026 Employment Type: Full Time Job ID: R-1915 ... Graduate degree in Computer Science, Engineering, Statistics or a related quantitative discipline ...

Data Solutions Engineer

Tempe, AZ ยท On-site +1

$91.53K - $156.50K/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 ...

Big Data Engineer with Java

Phoenix, AZ ยท 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 Analyst (REMOTE)

Phoenix, AZ ยท 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 Scientist

Tempe, AZ ยท 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 ...

GCP Architect

Chandler, AZ ยท Remote

$65.25 - $84/hr

Secaucus, NJ/Remote Duration: 1 Years JD: 8+ years of experience in Data Engineering or L3 level of support in data Analytics General Description Experience with Data Lake, data warehouse ETL ...

Senior Data & AI Engineer

Phoenix, AZ ยท 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 ...

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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 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:
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.

Manager, Data Engineering

Contexture

Phoenix, AZ โ€ข On-site, Remote

$7.60K - $8.75K/mo

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

MANAGER, DATA ENGINEERING

Job Code: MGRDE

Reports To: Director, Data Operations and Engineering

Base Location: AZ or CO

Work Status: Virtual Office

Minimum Starting Monthly Range: $7,599

Hiring Range (Monthly Pay): $7,599 - $8,750

Full-time / Part-time: Full-time

Exempt / Non-Exempt: Exempt

Risk Designation: Extremely High


Summary:

The Manager, Data Engineering is responsible for Contexture data engineering, development, implementation and maintenance for related activities of the organization. The role will provide technical direction and administrative support for the daily developmental, implementation and maintenance activities of the Data Engineering team. This position will have developmental, implementation and maintenance responsibility for Contextures enterprise data management strategy that is in alignment with business processes, to enable organizational business intelligence, reporting, visualization and analysis. The Manager will coordinate and implement data ingestion, storage, transformation, curation, consumption, and automation activities to support the data management strategy for both internal and external customers. This position is responsible for ensuring that team members have the appropriate knowledge and understanding of the underlying technologies and standards to provide effective and efficient development, implementation, and support for all assigned data engineering activities. This individual will serve as a technical expert for internal and external stakeholders as it relates to enterprise data management solutions offered by Contexture.

This position is based in Phoenix Arizona; Denver Colorado; or Grand Junction, Colorado and requires local residency in one of these base locations. Our strategic flexibility allows for local work from home opportunities.

Essential Duties and Responsibilities include the following:

  • Coordinates with the other Contexture departments to ensure that all HIE/HIT data services are delivered on time, error free and that they meet organizational and customer service expectations.
  • Provides daily supervision and management of assigned staff, maintain allocated staffing levels including leading recruitment efforts and creating on-boarding plans for new or transferred employees.
  • Provides mentoring, coaching, and educational activities to support employee development that aligns with organizational goals and objectives.
  • Ensures Data Engineering development staff assignments and allocations are maintained, up-to-date, and equitable.
  • Ensure high level of data availability implementing and improving processes that ensure the stability and performance of our data products.
  • Provide evaluations, analysis, and recommendations for system enhancements, performance optimization techniques, and development methodology advancements.
  • Create solutions that adhere to privacy, governance, legal, compliance and other standards.
  • Develops and implements policies and procedures which foster and sustain best practices for the department's data and engineering use case development methodologies, including project initiation, planning, execution, control and closing.
  • Oversee the optimization of data pipelines for latency, throughput, and reliability, ensuring alignment with SLAs and business needs; working cross functionally as needed.
  • Collaborate with senior leadership to define and execute the data engineering roadmap aligned with organizational goals.
  • Serve as a liaison between data engineering, data services and business intelligence, data governance, application development, project management and IT teams to ensure cohesive data strategies and execution.
  • Prioritizes team goals and tactics ensuring that the activities of the group are in line with organizational goals and objectives, customer project commitments and expectations.
  • Tracks and monitors key inter- and intra-project variables and distribute key project information to all impacted areas of the organization.
  • Supports assessment and reports risks related to assigned projects and participate in the development and implementation of mitigation plans, with appropriate escalation to executive team, as needed.
  • Controls activities related to the management of assigned implementation projects to bring the projects to a timely close and transition the client appropriately.
  • Ensures proactive communications with clients are conducted periodically regarding progress during implementation period and aids as needed.
  • Oversees the engineering maintenance of a core data set for clinical, claims, SDOH, operational financial, and administrative data elements for testing and quality control.
  • Maintains both a test and production library of data assets, including queries, API calls, and report formats to ensure data quality and standardization of processes.
  • Assists with the evaluation and testing of emerging technologies, data management and data access tools.
  • In conjunction with the data governance team, utilize the library of all required standard vocabularies and nomenclatures used in normalizing inbound and outbound data.
  • Support implementation of strategic business plans, processes, and other necessary project documents to support the successful management of Contexture programs.
  • Maintains, enhances, and broadens knowledge and skills related to data management and data access tools and applications and industry best practices.
  • Performs other related duties as assigned.

Qualifications

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.


Skills

  • Partner with business and technology experts to create a continuous loop of risk evaluation and remediation.
  • Ability to explain complex data engineering concepts to stakeholders, including internal and external.
  • Demonstrated ability in leading a cross-functional teams to deliver results on complex issues.
  • Prior hands-on experience as a technologist working with enterprise data management solutions, including data warehousing, cloud technology, relational databases and dashboarding tools, including SQL Server, Snowflake, Tableau, etc.
  • Experience working with cloud and modern data technologies, solutions and platforms.
  • Experience with creating technical roadmaps and driving data operations & engineering projects to timely delivery.
  • Extensive knowledge and application of both Python and SQL development in a production environment with terabyte-sized datasets that are both structured and unstructured.
  • Working knowledge of healthcare interoperability standards such as HL7 (Health Level 7), FHIR (Fast Healthcare Interoperability Resources), CDA (Clinical Document Architecture), etc.
  • Working knowledge of healthcare clinical code sets such as LOINC, SNOMED, CPT, ICD-10, etc.
  • Drive the adoption of data-driven decision-making processes across the organization, promoting a culture of data literacy and data-informed strategies.
  • Experience in design, implementation, and maintenance of healthcare evaluation systems.
  • Strong analysis and design skills.
  • Strong written and oral communication skills.
  • Ability to anticipate problems and take decisive action, giving regard to impact on all stakeholders.
  • Ability to prioritize and manage multiple tasks and allocate assigned resources to ensure projects are efficiently and effectively completed.
  • Ability to effectively develop, test and operationalize data extraction and reporting projects.
  • Ability to work in a fast-paced and rapidly changing environment and consistently meet strict deadlines.
  • Ability to work independently as well as ability to effectively work in a team environment and maintain strong working relationships.
  • Supports and contributes to the organization's culture in a way that allows staff to feel appreciated, included and valued.
  • Working knowledge of Microsoft Office 365 toolset (OneDrive, Word, Excel, and PowerPoint).

Education/Experience

Minimum of 5+ years of experience in the development, maintenance, and support of data related positions, focused in health system performance measurement structures to include process, outcome, value-based payment, and patient experience metrics development and uses. Experience in leading and managing cross functional technical and user-based teams, preferred. Bachelor's Degree, or commensurate directly related work experience, is required with a concentration in a data-related field such as Computer Science, Informatics, Mathematics, Engineering, etc. Master's Degree is preferred. Minimum 2+ years prior management experience required.

Work Environment

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. The noise level in the work environment is usually moderate.

The position may require occasional availability for after-hours work, outside of regularly scheduled hours.

The position may require ability to periodically drive to and from clients, conferences and / or events; and / or limited travel, including occasional travel out-of-state.

This position is expected to be exposed to, process, or handle sensitive information including but not limited to Protected Health Information (PHI), Personally Identifiable Information (PII), financial information, etc. As such, the holder of this position is expected to comply with all applicable laws, regulations, organizational policies, and compliance expectations.

Physical Demands

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. The noise level in the work environment is usually moderate.

The position may require occasional availability for after-hours work, outside of regularly scheduled hours.

The position may require ability to periodically drive to and from clients, conferences and / or events; and / or limited travel.

This position is expected to be exposed to, process, or handle sensitive information including but not limited to Protected Health Information (PHI), Personally Identifiable Information (PII), financial information, etc. As such, the holder of this position is expected to comply with all applicable laws, regulations, organizational policies, and compliance expectations.

Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

Note: This job description is not intended to be an exhaustive list of all duties, responsibilities and / or qualifications associated with the job.

Benefits: Contexture provides a comprehensive benefits package. For details, please request a Benefit Summary from our Benefits Department.

The organization is an inclusive Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or other status protected by law or regulation.