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Data Engineer Python Jobs in Arizona (NOW HIRING)

IVID TEK INC

GCP Data Engineer

Phoenix, AZ · On-site

$55/hr

Write production-grade Python and PySpark scripts for complex ETL/ELT transformations, data manipulation, and pipeline orchestration. * CI/CD & DevOps Integration: Implement and support Git-based ...

Perficientcorp Inc

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

PySpark & Spark Python Hadoop Ecosystem SQL Data Engineering & ETL Development DataFrame-based Processing Large-Scale Data Processing Enterprise Big Data Platforms Agile Methodologies Nice-to-Have ...

VRN Technologies

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

· 8+ years of experience in Data Engineering and data pipeline development. · Strong hands-on ... Python for data processing and automation. · Experience with Git-based version control and CI/CD ...

Compunnel

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Job Summary The GCP Data Engineer will design, develop, and maintain scalable data pipelines and ... using SQL, Python, and cloud-native tools. • Optimize data models and storage solutions for ...

Viasat, Inc.

Data Engineer

Tempe, AZ · On-site

$174K - $261K/yr

Our mission is to enable our community of data scientists, analysts, and developers to derive ... Java, Scala, Python, C or C++. * Familiarity with RDBMS technologies (PostgreSQL, MySQL, Oracle ...

Personify Health

Data Engineer II

Tempe, AZ · On-site

$111K - $133K/yr

As a Data Engineer II, you're the person who builds and maintains that backbone, turning raw health ... Build workflows and applications using Python, SQL, and Django, working across PostgreSQL, Oracle ...

Personify Health

Data Engineer II

Tempe, AZ · On-site

$111K - $133K/yr

As a Data Engineer II, you're the person who builds and maintains that backbone, turning raw health ... Build workflows and applications using Python, SQL, and Django, working across PostgreSQL, Oracle ...

Personify Health

Data Engineer II

Tempe, AZ · On-site

$111K - $133K/yr

As a Data Engineer II, you're the person who builds and maintains that backbone, turning raw health ... Build workflows and applications using Python, SQL, and Django, working across PostgreSQL, Oracle ...

Deloitte

Data Engineer

Tempe, AZ · On-site

$109K - $131K/yr

As an experienced Data Engineer you will have the ability to share new ideas and collaborate on ... Build reusable Python components for ingestion, validation, and transformations; enforce standards ...

Dlapiper

Data Engineer

Phoenix, AZ · Hybrid

$113K - $136K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Proficiency in SQL and Python. * Data pipeline tooling and cloud data services experience (Azure ...

Dlapiper

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Proficiency in SQL and Python. * Data pipeline tooling and cloud data services experience (Azure ...

Radix Software, Inc

Data Engineer

Scottsdale, AZ · On-site

$115K - $139K/yr

Deep expertise with Databricks (or similar modern data platforms), dbt, SQL, Python, and scalable ... engineering productivity while maintaining trust, accuracy, and governance. * Familiar with ...

Donato Technologies, Inc

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

GCP Data Engineer role Phoenix, AZ Need a Vedio screening Required skills * BS or MS degree in ... Hands on experience with Python & Java programming languages. * Experience in API development using ...

Syntricate Technologies

Big data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

... Python or Java). • Hands-on expertise with application design and software development in Big Data (Spark(Pyspark), HIVE). • Experience with CICD pipelines, Automated test frameworks, DevOps and ...

Radix

Data Engineer

Scottsdale, AZ

$115K - $138K/yr

Deep expertise with Databricks (or similar modern data platforms), dbt, SQL, Python, and scalable ... engineering productivity while maintaining trust, accuracy, and governance. * Familiar with ...

RIT Solutions, Inc.

AWS data engineer

Chandler, AZ · On-site

$63.50 - $83.50/hr

Responsibilities : • Must have: aws data, datazone, databricks, glue or spark, python, data warehousing, CI/CD • Bachelor's degree in Computer Science, Engineering or related field • 5+ years ...

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Data Engineer Python information

See Arizona salary details

$21.4K

$130.4K

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How much do data engineer python jobs pay per year?

As of Sep 13, 2026, the average yearly pay for data engineer python in Arizona is $130,437.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,000.00 and $153,300.00 per year, depending on experience, location, and employer.

What is a data engineer python?

A Data Engineer Python job involves designing, building, and maintaining data pipelines using Python. These professionals ensure data is collected, processed, and stored efficiently for analytics and machine learning. They work with databases, cloud platforms, and big data technologies to optimize data workflows. Strong Python skills, SQL knowledge, and experience with ETL processes are essential for this role.

What does a data engineer python do?

As a Data Engineer Python, your daily tasks will often include designing, building, and maintaining robust data pipelines to collect, process, and store large sets of structured and unstructured data. You’ll frequently work with Python to automate data workflows and ensure data quality, while also collaborating with data scientists, analysts, and other engineering teams to support shared objectives. Monitoring system performance, troubleshooting issues, and optimizing data processes for scalability and efficiency are also key parts of the role. This position offers an engaging mix of technical problem-solving and cross-functional teamwork in a dynamic data-driven environment.

What are the key skills and qualifications needed to thrive in the data engineer python position?

To thrive as a Data Engineer Python, you need strong programming skills in Python, a solid understanding of data modeling, ETL processes, and often a degree in computer science or a related field. Experience with big data tools like Apache Spark or Hadoop, cloud data platforms such as AWS or Azure, and certifications in data engineering are valuable assets. Analytical thinking, attention to detail, and effective communication are important soft skills for collaborating across teams and solving complex data challenges. These qualifications are critical for successfully designing, building, and maintaining scalable data pipelines that support organizational decision-making.

How much does a Data Engineer Python make?

A Data Engineer specializing in Python typically earns between $90,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with expertise in big data tools like Spark or Hadoop may have higher salaries, especially in high-demand markets.

What are popular job titles related to Data Engineer Python jobs in Arizona?

For Data Engineer Python jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Data Engineer Python jobs in Arizona look for?

The top searched job categories for Data Engineer Python jobs in Arizona are:

Data Engineer Python jobs near you
Infographic showing various Data Engineer Python job openings in Arizona as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $130,437 per year, or $62.7 per hour.

Data Engineer

Phoenix, AZ • On-site

Stellar IT Group
See more jobs at Stellar IT Groupexternal

$113K - $136K/yr

Full-time

Re-posted 25 days ago

Job description

Overview:
Job Title: Data Engineer
Location: Phoenix, AZ(Hybrid)
Job Type: FTE
Key Responsibilities
Data Platform & Pipeline Development
  • Design, develop, and maintain cloud-native data pipelines using Databricks, Microsoft Azure Data Factory, and Microsoft Fabric to support data integration and analytics solutions.
  • Implement incremental and real-time data ingestion strategies using a medallion architecture for data lake storage.
  • Write, optimize, and maintain complex SQL queries to transform, integrate, and analyze data across enterprise systems.
  • Develop solutions with a focus on scalability, maintainability, testability, and long-term operability within a continuous delivery mindset.

Data Operations & Reliability
  • Support and troubleshoot legacy data platforms built on SSIS and SQL Server, ensuring high availability and performance of critical data processes.
  • Identify, troubleshoot, and resolve data integration and data quality issues to ensure reliable production data delivery.
  • Contribute to observability, automated validation, and CI/CD pipelines to support fast feedback and safe releases.

Agile Collaboration & Engineering Practices
  • Collaborate daily with product owners, QA, and engineers through Scrum ceremonies including standups, backlog refinement, sprint planning, sprint reviews, and retrospectives.
  • Participate in proof-of-concept efforts, technical spikes, and design discussions, providing thoughtful technical analysis and pragmatic recommendations.
  • Apply XP engineering practices such as pairing, incremental delivery, continuous refactoring, and shared code ownership to maintain high-quality, evolvable systems.
  • Clearly communicate technical concepts, risks, tradeoffs, and progress to both technical and non-technical stakeholders.

Requirements
Required Qualifications
  • 5+ years of experience designing and building data solutions.
  • Strong proficiency in SQL and Python for data analytics and transformation.
  • Hands-on experience with ETL pipeline development and automation.
  • Solid understanding of data lake architecture and design principles.
  • Experience working on Agile teams (Scrum, XP, or similar), with regular participation in standups, sprint planning, refinement, reviews, and retrospectives.
  • Comfort operating in highly collaborative environments with frequent verbal and written communication across engineering, product, and QA teams.
  • Ability to break work into small, iterative deliverables and adapt quickly based on feedback and changing priorities.
  • Strong ownership mindset, including accountability for the quality, reliability, and maintainability of delivered solutions.

Preferred Qualifications
  • Experience with Azure cloud services and cloud-based ETL tools.
  • Familiarity with data visualization tools such as Power BI or Tableau.
  • Understanding of event-driven architectures, including queues, batch processing, and pub/sub models.
  • Exposure to NoSQL databases such as MongoDB or Cassandra.
  • Experience working on product engineering teams delivering customer-facing or operationally critical systems.
  • Familiarity with modern engineering practices inspired by XP, including automated testing, pairing, refactoring, and continuous integration.
  • Experience operating systems in production environments with uptime, reliability, and observability expectations.

Bonus Points For
  • Experience in Data Science or Machine Learning, particularly in model deployment or feature engineering.
  • Experience contributing to engineering standards, documentation, or continuous improvement initiatives within an Agile team.

Skills:
SQL,Python

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