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Data Engineer Data Analyst Jobs in Arizona (NOW HIRING)

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

This role will partner with data engineers, security teams, and stakeholders to deliver scalable data and reporting solutions. The analyst will work on cybersecurity data sets (e.g., threat ...

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Data Analyst

Phoenix, AZ · On-site

$90K - $130K/yr

Role - Data Analyst Experience Required - 8+ Years Must Have Technical/Functional Skills SQL , Data ... You will collaborate with engineers, product managers, data stewards, and business stakeholders to ...

Azure Data Platform experience Required Skills * 4+ years of experience in Data Analysis, Data Engineering, or Data Migration * Strong SQL skills with Azure SQL Database, Azure SQL Managed Instance ...

Data Engineer

Phoenix, AZ

$113K - $136K/yr

You will collaborate with data analysts, data scientists, and software engineers to ensure reliable and efficient data processing. Key Responsibilities * Design, develop, and maintain scalable ETL ...

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Data analyst responsibilities include conducting full lifecycle analysis to include requirements ... Document component design for developers and for broader communication. * Understand and adopt an ...

Data Engineer

Scottsdale, AZ

$114K - $137K/yr

Ensures reliable, high-quality, and governed data flows that support analytics, reporting, and downstream applications. Serves as a technical leader in data engineering, driving best practices in ...

Data Engineer

Scottsdale, AZ · On-site

$114K - $137K/yr

Ensures reliable, high-quality, and governed data flows that support analytics, reporting, and downstream applications. Serves as a technical leader in data engineering, driving best practices in ...

Staff Data Engineer

Scottsdale, AZ · On-site

$115K - $138K/yr

Partner with engineering, analytics, and business leaders to translate strategic goals into technical data solutions * Mentor senior engineers and influence technical growth through design reviews ...

Data Engineer

Phoenix, AZ · On-site

$108K - $130K/yr

POSITION SUMMARY The Data Engineer will build scalable, trusted, and secure data models and pipelines that support analytics, reporting, and operations across our healthcare organization. The Data ...

Data Engineer

Phoenix, AZ · On-site

$108K - $130K/yr

POSITION SUMMARY The Data Engineer will build scalable, trusted, and secure data models and pipelines that support analytics, reporting, and operations across our healthcare organization. The Data ...

Data Engineer

Phoenix, AZ · On-site +1

$113K - $136K/yr

The Data Engineer role is responsible for designing, building, and maintaining scalable data ... Partner with business stakeholders, analysts, and application teams to clarify data requirements ...

Act as a liaison between business users, data engineers, and IT teams * Write and optimize SQL queries for data extraction, validation, and analysis * Work with Azure Data Lake, Azure Synapse ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Work cross-functionally with engineers, analysts, and stakeholders to understand requirements and deliver data solutions that support sprint-based delivery. * Support pod-level delivery by producing ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Data Engineer Location: Phoenix, AZ(Hybrid) Job Type: FTE Key Responsibilities Data Platform ... Write, optimize, and maintain complex SQL queries to transform, integrate, and analyze data across ...

Partner with developers, subject matter experts, and project stakeholders to gather and define data ... Solid understanding of data analysis techniques and data lifecycle concepts * Experience working ...

Partner with developers, subject matter experts, and project stakeholders to gather and define data ... Solid understanding of data analysis techniques and data lifecycle concepts * Experience working ...

The Data Analyst role is critical in converting complex business, customer, and technical data into ... Bachelor's Degree in Computer Science, Business Management, Engineering, Information Systems ...

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Data Engineer Data Analyst information

What engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, big data tools, and strong programming knowledge can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized expertise, leadership roles, and sometimes stock options or bonuses.

How do Data Engineer Data Analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

Is a data engineer the same as a data analyst?

A data engineer designs, builds, and maintains data pipelines and infrastructure, focusing on data collection and storage. A data analyst interprets and analyzes data to generate insights and reports. While both roles work with data, they have different skill sets and responsibilities, often requiring knowledge of tools like SQL, Python, or cloud platforms.

What pays more, a data engineer or a data analyst?

Data engineers typically earn higher salaries than data analysts due to their advanced skills in building data pipelines, working with big data tools, and managing infrastructure. While salaries vary by experience and location, data engineering roles often require knowledge of programming languages like Python or Java and cloud platforms, which contribute to higher compensation.

What are the key skills and qualifications needed to thrive as a Data Engineer/Data Analyst, and why are they important?

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

What does a data engineer analyst do?

A data engineer analyst designs, builds, and maintains data pipelines and infrastructure to collect, store, and process large datasets. They work with tools like SQL, Python, and cloud platforms to ensure data quality and accessibility for analysis, often collaborating with data scientists and business teams.

What is the difference between Data Engineer Data Analyst vs Data Scientist?

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

What are popular job titles related to Data Engineer Data Analyst jobs in Arizona? For Data Engineer Data Analyst jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Data Engineer Data Analyst jobs in Arizona look for? The top searched job categories for Data Engineer Data Analyst jobs in Arizona are:
What cities in Arizona are hiring for Data Engineer Data Analyst jobs? Cities in Arizona with the most Data Engineer Data Analyst job openings:
Infographic showing various Data Engineer Data Analyst job openings in Arizona as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 7% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.
Data Strategy-Manager

Data Strategy-Manager

Pwc

Phoenix, AZ

$99K - $232K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

20th of 58 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.
In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.
Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Analyse and identify the linkages and interactions between the component parts of an entire system.
Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
Develop skills outside your comfort zone, and encourage others to do the same.
Effectively mentor others.
Use the review of work as an opportunity to deepen the expertise of team members.
Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
The Opportunity
As part of the Data and Analytics team, you will lead the development and implementation of data-driven strategies that drive business growth and enhance decision-making. As a Manager, you will motivate and inspire your team, leveraging their unique strengths to deliver exceptional client service while maintaining rigorous standards of quality and integrity. This role offers the chance to work with innovative technologies and collaborate on transformative projects that shape the future of data management and analytics.
Responsibilities
- Lead the creation and execution of data-driven strategies to enhance business performance
- Inspire and motivate team members to leverage their strengths for exceptional client service
- Maintain the delivery of quality work while adhering to ethical standards
- Collaborate on innovative projects that advance data management and analytics
- Utilize advanced technologies to refine decision-making processes
- Foster a culture of continuous improvement and professional development
- Manage project timelines and deliverables effectively
- Analyze complex data sets to derive actionable insights
What You Must Have
- Bachelor's Degree
- At least 5 years of experience
What Sets You Apart
- AWS Certified Data Analytics / Solutions Architect
- Azure Data Engineer / Azure Solutions Architect
- Google Professional Data Engineer
- DAMA CDMP (Certified Data Management Professional)
- Informatica Certified Professional
- Alation Certified Data Catalog Professional
- Collibra Certified Ranger/Steward/Expert
- SAP Certified Application Associate - SAP Master Data Governance (MDG)
- SnowPro Core / SnowPro Advanced
- Databricks Certified Data Engineer / Data Analyst / ML
- Proven leadership in data-driven strategies
- Experience in defining data governance frameworks
- Understanding of modern cloud data architectures
- Knowledge of data warehousing concepts
- Familiarity with big data engineering tools
- Proficiency in SQL and data visualization tools
- Experience in designing advanced analytics solutions
- Coaching and collaborating with team members

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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