Data Engineer Jobs in Arizona
Data Engineer jobs in Arizona are in strong demand, concentrated in finance, healthcare technology, aerospace, and cloud-based services, with openings at every level from entry-level analysts stepping into data roles through principal and staff engineers. Phoenix and Scottsdale lead hiring volume, with Tempe emerging as a secondary hub, and established employers including Intel, Banner Health, and American Express have maintained consistent data engineering teams in the state. The most in-demand specialties are cloud data pipeline development, real-time analytics, and data platform engineering on tools like Databricks and Snowflake. Find a role that fits below and apply directly.
Find Data Engineer JobsOverview
Showing 4 of 51+ Data Engineer jobs
Senior Data Engineer
At Flagship Financial Group, we strive to make a positive impact on our customers' lives through responsible auto financing and on our employees' careers through continuous learning and advancement opportunities. Following our recent acquisition and the appointment of a new CEO, we are entering an exciting period of transformation, shifting toward a high-growth, tech-forward, and operationally excellent future.
We are seeking a Senior Data Engineer to play a critical role in shaping and scaling our enterprise data platform. This highly visible position combines hands-on engineering expertise with architectural leadership, helping drive the evolution of our Enterprise Data Warehouse (EDW) and modern cloud-based data ecosystem. Reporting to the VP of Data, you will design, build, and optimize data pipelines while establishing technical standards, governance practices, and scalable architecture that support analytics, reporting, and business intelligence across the organization.
What You'll Do
- Design, develop, and maintain scalable ETL/ELT pipelines using Python, SQL, PySpark, and modern cloud-based data technologies.
- Build, optimize, and troubleshoot production data pipelines, data quality issues, and performance bottlenecks.
- Create reusable frameworks, components, and best practices that improve development efficiency across the data engineering team.
- Develop and enhance CI/CD processes, automation capabilities, and DataOps practices to support reliable and secure deployments.
- Own the architecture and technical roadmap of the Enterprise Data Warehouse (EDW) and Lakehouse environment.
- Define and maintain data architecture standards, including data modeling methodologies, governance practices, metadata management, and design documentation.
- Produce architecture diagrams, data flow documentation, and technical specifications that support both technical and business stakeholders.
- Evaluate emerging technologies, tools, and frameworks to improve scalability, performance, and long-term maintainability.
- Collaborate closely with Analytics, Business Intelligence, Data Science, Technology, and business leaders to align data capabilities with organizational priorities.
- Establish and promote best practices related to data governance, security, compliance, access controls, lineage, and data stewardship.
- Lead architecture reviews, provide technical guidance, and mentor fellow engineers in engineering and architectural best practices.
- Support strategic initiatives including data modernization efforts, cloud migrations, and enterprise-scale data transformation projects.
Who You Are
The Builder
You enjoy rolling up your sleeves and solving complex technical challenges. Whether developing pipelines, optimizing queries, or troubleshooting production issues, you thrive in a hands-on environment.
The Architect
You think beyond individual solutions and envision scalable, long-term data platforms that support future business growth. You balance technical excellence with practical execution.
The Strategic Partner
You build strong relationships across technical and business teams, helping stakeholders understand data opportunities and make informed decisions.
The Standards Champion
You are passionate about governance, quality, security, and consistency, ensuring enterprise data remains trusted, accessible, and reliable.
Qualifications
Experience
- 8+ years of hands-on data engineering experience building and supporting enterprise-scale data platforms.
- Proven experience designing and implementing cloud-based Enterprise Data Warehouse (EDW) and Lakehouse architecture.
- Strong expertise in Python, SQL, and modern data engineering frameworks and technologies.
- Experience with Databricks, Spark, Delta Lake, Unity Catalog, and related cloud-based data platforms.
- Experience developing ETL/ELT pipelines using tools such as Azure Data Factory, Databricks Workflows, dbt, Airflow, Glue, or similar technologies.
- Demonstrated success implementing CI/CD, DataOps, Infrastructure as Code, and automated testing practices.
- Experience establishing data governance, security, metadata management, and compliance standards.
- Proven ability to influence technical direction and collaborate effectively across cross-functional teams.
- Experience mentoring engineers and supporting technical development within a team environment.
Education
- Bachelor's degree required in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.
- Master's degree is a plus.
Skills & Abilities
- Advanced SQL expertise including query optimization, performance tuning, and complex data transformations.
- Strong programming experience in Python and PySpark.
- Deep understanding of dimensional modeling, Data Vault, Kimball, Inmon, and other enterprise data architecture methodologies.
- Working knowledge of cloud data platforms and services, including Databricks and related analytics ecosystems.
- Familiarity with governance, cataloging, lineage, and data quality tools.
- Strong analytical and problem-solving capabilities.
- Ability to communicate complex technical concepts to both technical and non-technical audiences.
- Excellent written and verbal communication skills.
- Ability to manage multiple priorities and perform effectively in a fast-paced, evolving environment.
Preferred Qualifications
- Cloud certifications such as AWS Certified Data Engineer or Databricks Certified Data Engineer.
- Experience with streaming data technologies including Kafka, Event Hubs, Kinesis, or Structured Streaming.
- Experience supporting or leading data warehouse modernization and cloud migration initiatives.
- Exposure to business intelligence platforms such as Power BI, Tableau, or Looker.
Location & Work Environment
Remote or hybrid opportunity in our Glen Mills, PA, Tempe, AZ, or Coppell, TX locations.
Why Join Us?
This is an opportunity to help define the future of data at Flagship. You'll work on highly visible initiatives, influence enterprise technology strategy, and build scalable solutions that power decision-making across the organization. As we continue our transformation journey, you'll have the autonomy, support, and resources to make a meaningful impact while advancing your expertise in modern data engineering, cloud platforms, and enterprise architecture.
Senior Data Engineer
At Flagship Financial Group, we strive to make a positive impact on our customers' lives through responsible auto financing and on our employees' careers through continuous learning and advancement opportunities. Following our recent acquisition and the appointment of a new CEO, we are entering an exciting period of transformation, shifting toward a high-growth, tech-forward, and operationally excellent future.
We are seeking a Senior Data Engineer to play a critical role in shaping and scaling our enterprise data platform. This highly visible position combines hands-on engineering expertise with architectural leadership, helping drive the evolution of our Enterprise Data Warehouse (EDW) and modern cloud-based data ecosystem. Reporting to the VP of Data, you will design, build, and optimize data pipelines while establishing technical standards, governance practices, and scalable architecture that support analytics, reporting, and business intelligence across the organization.
What You'll Do
- Design, develop, and maintain scalable ETL/ELT pipelines using Python, SQL, PySpark, and modern cloud-based data technologies.
- Build, optimize, and troubleshoot production data pipelines, data quality issues, and performance bottlenecks.
- Create reusable frameworks, components, and best practices that improve development efficiency across the data engineering team.
- Develop and enhance CI/CD processes, automation capabilities, and DataOps practices to support reliable and secure deployments.
- Own the architecture and technical roadmap of the Enterprise Data Warehouse (EDW) and Lakehouse environment.
- Define and maintain data architecture standards, including data modeling methodologies, governance practices, metadata management, and design documentation.
- Produce architecture diagrams, data flow documentation, and technical specifications that support both technical and business stakeholders.
- Evaluate emerging technologies, tools, and frameworks to improve scalability, performance, and long-term maintainability.
- Collaborate closely with Analytics, Business Intelligence, Data Science, Technology, and business leaders to align data capabilities with organizational priorities.
- Establish and promote best practices related to data governance, security, compliance, access controls, lineage, and data stewardship.
- Lead architecture reviews, provide technical guidance, and mentor fellow engineers in engineering and architectural best practices.
- Support strategic initiatives including data modernization efforts, cloud migrations, and enterprise-scale data transformation projects.
Who You Are
The Builder
You enjoy rolling up your sleeves and solving complex technical challenges. Whether developing pipelines, optimizing queries, or troubleshooting production issues, you thrive in a hands-on environment.
The Architect
You think beyond individual solutions and envision scalable, long-term data platforms that support future business growth. You balance technical excellence with practical execution.
The Strategic Partner
You build strong relationships across technical and business teams, helping stakeholders understand data opportunities and make informed decisions.
The Standards Champion
You are passionate about governance, quality, security, and consistency, ensuring enterprise data remains trusted, accessible, and reliable.
Qualifications
Experience
- 8+ years of hands-on data engineering experience building and supporting enterprise-scale data platforms.
- Proven experience designing and implementing cloud-based Enterprise Data Warehouse (EDW) and Lakehouse architecture.
- Strong expertise in Python, SQL, and modern data engineering frameworks and technologies.
- Experience with Databricks, Spark, Delta Lake, Unity Catalog, and related cloud-based data platforms.
- Experience developing ETL/ELT pipelines using tools such as Azure Data Factory, Databricks Workflows, dbt, Airflow, Glue, or similar technologies.
- Demonstrated success implementing CI/CD, DataOps, Infrastructure as Code, and automated testing practices.
- Experience establishing data governance, security, metadata management, and compliance standards.
- Proven ability to influence technical direction and collaborate effectively across cross-functional teams.
- Experience mentoring engineers and supporting technical development within a team environment.
Education
- Bachelor's degree required in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.
- Master's degree is a plus.
Skills & Abilities
- Advanced SQL expertise including query optimization, performance tuning, and complex data transformations.
- Strong programming experience in Python and PySpark.
- Deep understanding of dimensional modeling, Data Vault, Kimball, Inmon, and other enterprise data architecture methodologies.
- Working knowledge of cloud data platforms and services, including Databricks and related analytics ecosystems.
- Familiarity with governance, cataloging, lineage, and data quality tools.
- Strong analytical and problem-solving capabilities.
- Ability to communicate complex technical concepts to both technical and non-technical audiences.
- Excellent written and verbal communication skills.
- Ability to manage multiple priorities and perform effectively in a fast-paced, evolving environment.
Preferred Qualifications
- Cloud certifications such as AWS Certified Data Engineer or Databricks Certified Data Engineer.
- Experience with streaming data technologies including Kafka, Event Hubs, Kinesis, or Structured Streaming.
- Experience supporting or leading data warehouse modernization and cloud migration initiatives.
- Exposure to business intelligence platforms such as Power BI, Tableau, or Looker.
Location & Work Environment
Remote or hybrid opportunity in our Glen Mills, PA, Tempe, AZ, or Coppell, TX locations.
Why Join Us?
This is an opportunity to help define the future of data at Flagship. You'll work on highly visible initiatives, influence enterprise technology strategy, and build scalable solutions that power decision-making across the organization. As we continue our transformation journey, you'll have the autonomy, support, and resources to make a meaningful impact while advancing your expertise in modern data engineering, cloud platforms, and enterprise architecture.
See All 51 Data Engineer Jobs in Arizona
Find roles in Arizona that match your experience and apply in just a few clicks.
Find Data Engineer JobsData Engineer Jobs by City in Arizona
Where Arizona roles are concentrated, by current openings.
Data Engineer Job Market in Arizona
A snapshot from current Arizona openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Staffing & Recruiting
- Electronics & Hardware
What Arizona Employers Look For
The qualifications that appear most often in data engineer jobs across Arizona.
- Bachelor's degree in computer science, data engineering, information systems, or a related field
- Proficiency in Python or Scala for building and maintaining data pipelines
- Experience with cloud platforms such as AWS, Azure, or Google Cloud
- Hands-on knowledge of SQL and distributed data systems like Spark or Kafka
- Familiarity with data warehousing tools such as Snowflake, Redshift, or BigQuery
- Strong understanding of data modeling, ETL processes, and pipeline orchestration tools
Data Engineer Jobs in Arizona: Frequently Asked Questions
How do you become a data engineer in Arizona?
Data engineering in Arizona has no state-issued license or registration requirement, so the path is credential and experience driven. Most Arizona employers expect a bachelor's degree in computer science, information systems, or a related field, along with demonstrated proficiency in cloud platforms and pipeline tools. Certifications from AWS, Microsoft Azure, or Google Cloud carry real weight with Arizona hiring managers, particularly in the Phoenix metro's finance and healthcare technology sectors.
Which companies hire data engineers in Arizona?
Employers hiring data engineers in Arizona right now include Raytheon, Amazon, and American Express, based on current listings on Migrate Mate as of November 2026. Arizona's concentration of financial services firms, semiconductor manufacturers, and large regional health systems means data engineering demand is spread across multiple industries rather than centered in a single sector.
Which Arizona cities have the most data engineer jobs?
Phoenix, Tempe, and Scottsdale account for the most data engineer openings in Arizona. Phoenix dominates due to its dense concentration of financial services, healthcare systems, and technology companies, while Scottsdale and Tempe attract roles tied to corporate headquarters and university-linked tech activity at Arizona State University's innovation ecosystem.
Are there remote data engineer jobs in Arizona?
Yes, and more than most fields. About 61% of data engineer openings tied to Arizona are remote or hybrid as of November 2026, reflecting the desk-based and highly portable nature of the work. Pipeline engineering, cloud architecture, and analytics platform roles are the most frequently offered as fully remote, while roles involving direct collaboration with on-site data infrastructure teams tend to require some in-office presence.
How can I get hired as a data engineer in Arizona with little or no experience?
The most realistic entry path is moving laterally from a data analyst or business intelligence role, which Arizona employers in finance and healthcare regularly hire at the associate level. Banner Health, Intel, and American Express all run structured early-career and rotational programs in their data and technology divisions that accept candidates with academic projects or portfolio work in lieu of direct experience. Building a public GitHub portfolio demonstrating ETL pipeline construction and earning an entry-level cloud certification gives Arizona hiring managers something concrete to evaluate.
Where can I find and apply to data engineer jobs in Arizona?
You can find and apply to data engineer jobs in Arizona on Migrate Mate, which lists current Arizona openings updated on an ongoing basis. Find roles that fit your experience and location preferences and apply directly through the listings.
See All 51 Data Engineer Jobs in Arizona
Find roles in Arizona that match your experience and apply in just a few clicks.
Find Data Engineer Jobs