1

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

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 Analyst

Phoenix, AZ · On-site

$95K/yr

Data Analyst Location-Type: Hybrid, 4 days/week in Phoenix, AZ (must permanently reside currently in AZ) Start Date: ASAP Duration: Permanent Compensation Range: Up to $95,000 Benefits: Eligible for ...

New

As a Data Analyst, team members will be responsible for evaluating and improving U-Haul's products ... Engineering tables and jobs using Spark SQL and Python to meet analysis and reporting needs

Senior Data Engineer / Data Curator

Phoenix, AZ · On-site

$130K - $177K/yr

Senior Data Engineer / Data Curator A job at TSMC Arizona offers an opportunity to work at the most advanced semiconductor fab in the United States. TSMC Arizona's first fab will operate it's leading ...

Create and maintain detailed data mapping documentation for database engineering teams. * Develop bi-directional data mapping between source and target systems. * Perform data transformation analysis ...

Data Engineer

Mesa, AZ · On-site

$65K/yr

... analyze structured (e.g., relational databases), semi-structured (e.g., JSON, XML), and ... data engineering tasks and contribute to continuous improvement of data infrastructure. • ...

As a Data Analyst, team members will be responsible for evaluating and improving U-Haul's products ... Engineering tables and jobs using Spark SQL and Python to meet analysis and reporting needs

Senior Data Engineer / Data Curator

Phoenix, AZ · On-site

$130K - $177K/yr

Senior Data Engineer / Data Curator A job at TSMC Arizona offers an opportunity to work at the most advanced semiconductor fab in the United States. TSMC Arizona's first fab will operate it's leading ...

Data Engineer

Mesa, AZ · On-site

$65K/yr

... analyze structured (e.g., relational databases), semi-structured (e.g., JSON, XML), and ... data engineering tasks and contribute to continuous improvement of data infrastructure. • ...

ARIZONA 811 is seeking Data Analyst candidates who have a great aptitude, phenomenal presentation content creative skills and a strong dependable work ethic. Not 'just' anyone can do THIS job, our ...

Data Engineer

Mesa, AZ · On-site

$65K/yr

... analyze structured (e.g., relational databases), semi-structured (e.g., JSON, XML), and ... data engineering tasks and contribute to continuous improvement of data infrastructure. • ...

Data Engineer

Mesa, AZ · On-site

$65K/yr

... analyze structured (e.g., relational databases), semi-structured (e.g., JSON, XML), and ... data engineering tasks and contribute to continuous improvement of data infrastructure. • ...

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

New

Data Engineer III

Chandler, AZ · Remote

$110K - $132K/yr

As a Data Engineer III, you'll be responsible for delivering high-quality work that advances ... Develop and maintain data models to support analytics, reporting, and crossfunctional business ...

Showing results 41-60

Data Engineer Data Analyst information

See Phoenix, AZ salary details

$33.8K

$82.1K

$135K

How much do data engineer data analyst jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data engineer data analyst in Phoenix, AZ is $82,054.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,100.00 and $96,300.00 per year, depending on experience, location, and employer.

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.

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 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.

Can a data analyst work as a data engineer?

A data analyst can transition to a data engineer role by developing skills in data pipeline development, database management, and programming languages like Python or SQL. While data analysts focus on data interpretation and reporting, data engineers build and maintain data infrastructure, often requiring knowledge of tools such as Apache Spark, Hadoop, or cloud platforms. Gaining experience with these technologies and earning relevant certifications can facilitate the switch between roles.

What job categories do people searching Data Engineer Data Analyst jobs in Phoenix, AZ look for?

The top searched job categories for Data Engineer Data Analyst jobs in Phoenix, AZ are:

What cities near Phoenix, AZ are hiring for Data Engineer Data Analyst jobs?

Cities near Phoenix, AZ with the most Data Engineer Data Analyst job openings:

Infographic showing various Data Engineer Data Analyst job openings in Phoenix, AZ as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 82% In-person, 7% Hybrid, and 11% Remote job distribution, with an average salary of $82,054 per year, or $39.4 per hour.

Data Analyst (REMOTE)

Arsenault Inc

Phoenix, AZ • Remote

$115K - $126K/yr

Full-time

Re-posted 20 days ago


Job description

Responsibilities

Responsible for ensuring the business makes better decisions through collection and usage of data. Ensures business data and analysis requirements are met by properly applying data concepts, including data structures, collection and cleansing, and structured and unstructured data analysis and reporting. Ability to collect, analyze, manipulate, and report on ARSENAULT data.

Essential Duties And Responsibilities

Performs ad-hoc, strategic analysis of structured and unstructured data across multiple data sources, reflecting global real estate markets and the operations of real estate assets.

Develops data structures and pipelines to organize, collect, cleanse, and standardize data in order to generate insights and addresses reporting needs.

Defines data requirements and gathers and validates information, using judgment and statistical tests.

Utilizes programming and analytical tools, including open source programs including Python, R and SAS, SQL, Oracle, or similar relational database tools to formulate models and/or extract insights. Well versed in knowledge of creating algorithms, identifying patterns and insights from structured and unstructured data sets utilizing graphs, trees and/or other data representation techniques as required.

Identifies and troubleshoots data integration and integrity issues in cooperation with the appropriate ARSENAULT business units; Designs work flows and procedures.

Identifies opportunities to maximize data usage, applying modeling and optimization methods to develop new strategies and improve business performance.

Develops ad-hoc analytics and reporting based on analysis of existing data sources, utilizing a variety of tools (i.e. SSRS, Tableau).

Exhibits analytical rigor, judgment, and ability to present a comprehensive 'data story' to multiple levels of the organization.

Other Duties as Assigned

Supervisory Responsibilities

No formal supervisory responsibilities in this position. May provide informal assistance such as technical guidance, and/or training to coworkers. May coordinate and assign tasks to co-workers within a work unit and/or project.

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.

EDUCATION And EXPERIENCE

Bachelor's degree from top tier school in computer science, math, engineering or related field with a minimum of 3 years of experience in quantitative analysis, data modeling, reporting, relational database tools, data warehousing, database architecture, and SQL, SAS and/or SPSS including 2-3 years technical experience in software development, machine learning or statistical analysis, data engineering and data visualization related work.

Communication Skills

Excellent written and verbal communication skills. Strong organizational and analytical skills. Ability to provide efficient, timely, reliable and courteous service to customers. Ability to effectively present information.

FINANCIAL KNOWLEDGE

Requires knowledge of financial terms and principles. Ability to calculate intermediate figures such as percentages, discounts, and/or commissions. Conducts basic financial analysis.

REASONING ABILITY

Ability to comprehend, analyze, and interpret documents. Ability to solve problems involving several options in situations. Requires intermediate analytical and quantitative skills.

OTHER SKILLS And ABILITIES

Experience with Microsoft BI stack (e.g., SSRS) a bonus.

Proficient in Microsoft Office Suite including Word, PowerPoint, Excel, and Outlook.

Strong analytical skills.

SCOPE OF RESPONSIBILITY

Decisions made with understanding of procedures and company policies to achieve set results and deadlines. Responsible for setting own project deadlines. Errors in judgment may cause short-term impact to co-workers and supervisor.

In compliance with Colorados Equal Pay for Equal Work Act (EPEWA) we are disclosing the compensation, or a range thereof, for roles that will be, or could be, performed in Colorado.

If performed in Colorado, this position has a salary range of $115,000 - $126,000 with an opportunity for a company-wide annual discretionary bonus, through our PRP Bonus plan, of up to 10% of eligible pay.

ARSENAULT is an equal opportunity/affirmative action employer with a long-standing commitment to providing equal employment opportunity to all qualified applicants regardless of race, color, religion, national origin, sex, sexual orientation, gender identity, pregnancy, age, citizenship, marital status, disability, veteran status, political belief, or any other basis protected by applicable law.

NOTE: An additional requirement for this role is the ability to comply with COVID-19 health and safety protocols, including COVID-19 vaccination proof and/or rigorous testing.