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Manager Data Engineering Jobs in Arizona (NOW HIRING)

Manager, Data Engineering

Phoenix, AZ · 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 ...

We are seeking a Data Engineering Manager. This role will be responsible for building, managing, and enabling high performing data engineering teams that deliver secure, scalable, and compliant data ...

Manage role-based access control (RBAC), encryption, and other security protocols within Azure ... Lead and mentor a team of data engineers, providing technical guidance and fostering professional ...

Senior Manager Data Architecture

Phoenix, AZ · On-site

$66.75 - $89.25/hr

Sr. Manager, Data Architecture Circle K is a global leader in convenience and fuel, operating in 24 ... Join our Global Data Engineering, Architecture and Enablement team and help build the foundation ...

Must have 5-8 years of Data Engineering experience in a Big Data environment • Strong Data ... management processes • Having prior experience on transition from Taleo to Oracle Fusion Cloud ...

Head of Data Engineering

Scottsdale, AZ · On-site

$115.20K - $138.40K/yr

As the Head of Data Engineering, you will lead a technical team to develop and scale the data ... and manage the MCP based data exposure layer that governs how AI agents access, retrieve, and ...

Head of Data Engineering

Scottsdale, AZ · On-site

$115.20K - $138.40K/yr

As the Head of Data Engineering, you will lead a technical team to build and scale the data ... and manage the MCP based data exposure layer that governs how AI agents access, retrieve, and ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... In data engineering at PwC, you will focus on designing and building data infrastructure and ...

As the Manager of Data Technology, you will play a pivotal role in shaping the future of our data ... Lead, coach, and develop a team of Data Technology engineers, fostering engagement, accountability ...

As the Manager of Data Technology, you will play a pivotal role in shaping the future of our data ... Lead, coach, and develop a team of Data Technology engineers, fostering engagement, accountability ...

Partner with program managers, data scientists, data engineers, cybersecurity staff, and customer stakeholders to translate mission and business requirements into robust technical data solutions.

As Head of Data Engineering, you will define and scale the platform, semantic layer, and AI ready ... Architect and manage the MCP based data exposure layer that governs how AI agents access, retrieve ...

Data Engineer

Phoenix, AZ · On-site

$113.70K - $136.50K/yr

Data Engineering Manager Design, develop, and maintain scalable, production-grade ELT pipelines using Snowflake and dbt (Core or Cloud). Lead technical design discussions and provide architectural ...

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Manager Data Engineering information

See Arizona salary details

$28.9K

$90.5K

$160.3K

How much do manager data engineering jobs pay per year?

As of May 28, 2026, the average yearly pay for manager data engineering in Arizona is $90,528.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,500.00 and $117,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Manager Data Engineering, and why are they important?

To thrive as a Manager Data Engineering, you need expertise in data architecture, advanced analytics, and leadership, typically supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), data warehousing systems, cloud platforms (AWS, Azure), and certifications such as AWS Certified Data Analytics are highly valued. Strong communication, problem-solving, and team management skills help drive project success and foster collaboration. These skills ensure effective data solutions, alignment with business goals, and the ability to lead and grow high-performing engineering teams.

How does a Manager of Data Engineering typically collaborate with data scientists and business stakeholders?

A Manager of Data Engineering often serves as a bridge between technical teams and business stakeholders. They work closely with data scientists to ensure that data pipelines and infrastructure meet analytical needs, while also translating business requirements into actionable engineering solutions. Regular coordination meetings, clear documentation, and cross-functional projects are common, enabling seamless collaboration and alignment on goals. This role requires strong communication skills and the ability to balance technical priorities with business objectives.

What are Manager Data Engineering roles and responsibilities?

A Manager Data Engineering oversees teams that design, build, and maintain data infrastructure and pipelines for organizations. They are responsible for ensuring the efficient flow and storage of data, implementing best practices in data management, and collaborating with stakeholders to meet business data needs. Additionally, they mentor and guide data engineers, manage project timelines, and ensure data security and quality standards are met. Their role often involves strategic planning to enable data-driven decision making across the company.

What is the difference between Manager Data Engineering vs Data Engineer?

AspectManager Data EngineeringData Engineer
Required CredentialsBachelor's or Master's in CS, Data Science, or related; often leadership experienceBachelor's or higher in CS, IT, or related; technical certifications optional
Work EnvironmentTeam leadership, project management, strategic planningData pipeline development, coding, data modeling
Employer & Industry UsageTech companies, finance, healthcare, where data teams are commonData-focused roles across various industries

The main difference is that Manager Data Engineering oversees data teams and projects, focusing on strategy and leadership, while Data Engineers handle the technical implementation of data pipelines and infrastructure. Managers typically have more experience and leadership skills, whereas Data Engineers are more hands-on with coding and data architecture.

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 Manager Data Engineering jobs in Arizona? For Manager Data Engineering jobs in Arizona, the most frequently searched job titles are:
What cities in Arizona are hiring for Manager Data Engineering jobs? Cities in Arizona with the most Manager Data Engineering job openings:
Infographic showing various Manager Data Engineering job openings in Arizona as of May 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $90,528 per year, or $43.5 per hour.

Manager, Data Engineering

Contexture

Phoenix, AZ • On-site, Remote

$7.60K - $8.75K/mo

Full-time

This job post has expired today. 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.