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Data Engineer Data Analyst Jobs in Arizona (NOW HIRING)

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Data Engineer 3 days Phoenix, As a Data Engineer at our client, you will play a crucial role in designing, building, and maintaining the data architecture that powers our analytical and operational ...

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Data Engineer Date: Jun 11, 2026 Location: Phoenix, AZ, US, 85353 Company: Corning Requisition ... Support operational excellence initiatives by enabling root cause analysis, performance tracking ...

Data Engineer (MedInsight)

Phoenix, AZ · On-site +1

$93K - $177K/yr

MedInsight's engineering team is building the next generation of healthcare data analytics. We are ... Analyze and improve data intake processes and optimize SparkSQL/Python workloads for performance ...

Data Engineer (MedInsight)

Phoenix, AZ · On-site +1

$93K - $177K/yr

MedInsight's engineering team is building the next generation of healthcare data analytics. We are ... Analyze and improve data intake processes and optimize SparkSQL/Python workloads for performance ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Data Engineer

Tolleson, AZ · On-site

$112K - $135K/yr

The Data Engineer will design and implement data structures and analytical solutions to improve decision-making and operational excellence across various functions. Responsibilities : • Identify ...

Data Engineer

Scottsdale, AZ · Remote

$60 - $70/hr

Data Engineer Location: Scottsdale, AZ Remote: NO Length: 6 months (potential contract to hire ... Builds analytics tools that utilize the data pipeline to provide actionable insights into customer ...

Data Engineer

Tolleson, AZ

$112K - $135K/yr

Position Summary The Data Engineer will play a key role in designing and establishing the data, reporting, and operational analytics foundation for AMPS in Tolleson, AZ. This role is responsible for ...

Data Engineer

Tolleson, AZ · On-site

$112K - $135K/yr

Support operational excellence initiatives by enabling root cause analysis, performance tracking ... Bachelor's degree in Data Engineering, Computer Science, Information Systems, Industrial ...

Our company provides application analysis, design, development and programming, software ... Data Analysis, * data warehousing, * SSRS, * Business Objects, * T-SQL, * Testing and Healthcare ...

Data Engineer

Tolleson, AZ · On-site

$112K - $135K/yr

Support operational excellence initiatives by enabling root cause analysis, performance tracking ... Bachelor's degree in Data Engineering, Computer Science, Information Systems, Industrial ...

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Support operational excellence initiatives by enabling root cause analysis, performance tracking ... Bachelor's degree in Data Engineering, Computer Science, Information Systems, Industrial ...

GCP Data Engineer

Phoenix, AZ · On-site

$111K - $133K/yr

... analytics platforms on GCP is a must works on creating a framework for ML and LLM Ops works on ... Data Engineering with an emphasis on Data Warehousing and Data Analytics Very strong hands on ...

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Data Analyst

Mesa, AZ · On-site

$65K - $85K/yr

Collaborate with business analysts, QA, and developers to ensure accuracy and alignment. * Maintain ... Translate technical concepts (e.g., data integration issues, transformation logic, system ...

New

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Data Engineering Manager Design, develop, and maintain scalable, production-grade ELT pipelines ... Strong problem-solving and analytical skills. Excellent communication and leadership capabilities.

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Data Analyst

Mesa, AZ · On-site

$65K - $85K/yr

Collaborate with business analysts, QA, and developers to ensure accuracy and alignment. * Maintain ... Translate technical concepts (e.g., data integration issues, transformation logic, system ...

New

BI Data Analyst

Scottsdale, AZ · Remote

$35 - $45/hr

Ensure dashboards adhere to formatting and security standards Data Engineering & SQL: Designs, develops, and optimizes SQL queries to extract, transform, and analyze data across systems. Ensures data ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Adelante Healthcare is a healthcare organization seeking a Data Engineer to build scalable and ... analytics. • Implement data validation logic to ensure quality, trust, and accuracy in all ...

Data Analyst Location: Phoenix, AZ Type: Direct Hire Company located in Phoenix, AZ has an immediate need for a Senior Data Analyst for a direct hire position. This position reports to the Senior ...

Data Analyst Location: Phoenix, AZ Type: Direct Hire Company located in Phoenix, AZ has an immediate need for a Senior Data Analyst for a direct hire position. This position reports to the Senior ...

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Data Engineer Data Analyst information

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.

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:
Data Engineer

$113K - $136K/yr

Other

Posted 25 days ago


Job description

Data Engineer
3 days Phoenix,
As a Data Engineer at our client, you will play a crucial role in designing, building, and maintaining the data architecture that powers our analytical and operational capabilities. You will work closely with developers, QA's, Scrum Master and other stakeholders to ensure data availability, reliability, and integrity. Your expertise will be key in transforming raw data into actionable insights that drive our business forward.
Key Responsibilities:
Design and Develop Data Pipelines:
Create and maintain scalable ETL (Extract, Transform, Load) processes to gather, process, and store data from various sources.
Optimize data pipelines for performance and reliability.
Database Management:
Design, implement, and manage robust, scalable, and efficient databases.
Ensure data security, availability, and performance.
Data Integration:
Integrate data from multiple sources, ensuring consistency and accuracy.
Work with APIs and other data integration tools.
Data Quality and Governance:
Implement data quality checks and ensure data governance practices are followed.
Monitor data quality and integrity, addressing any issues promptly.
Collaboration:
Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions that meet their needs.
Work closely with DevOps and IT teams to ensure seamless deployment and operation of data solutions.
Documentation and Best Practices:
Document data processes, workflows, and architectures.
Promote best practices in data engineering and contribute to the continuous improvement of the data infrastructure.
Qualifications
Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
Proven experience as a Data Engineer or in a similar role.
Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL).
Experience with big data technologies (e.g., Hadoop, Spark, Kafka).
Proficiency in programming languages such as Kotlin and Java.
Familiarity with front-end technologies, particularly React.js, for data visualization and UI integration.
Experience with Google Cloud Platform and its data-related services (e.g., BigQuery, Dataflow, Pub/Sub).
Strong understanding of data warehousing concepts and experience with data warehouse solutions (e.g., BigQuery).
Knowledge of data modeling, data architecture, and ETL processes.
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills.