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Data Engineer Python Jobs in Arizona (NOW HIRING)

Iridium Satellite, LLC

Data Engineer III

Chandler, AZ · On-site

$90K - $120K/yr

As a Data Engineer III, you'll be responsible for delivering high-quality work that advances ... Strong proficiency in Snowflake, DBT, SQL, Python, and modern ETL/ELT frameworks * Experience with ...

State Farm

Data Engineer

Tempe, AZ · Hybrid

$109K - $131K/yr

Proficiency with key data engineering technologies such as Python and SQL , along with modern database/platform technologies. * Experience with data modeling , data quality , data governance , and ...

Intraedge

Google Cloud Platform Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Strong Hands on experience with one or more programming languages ( Python or Java). Hands-on expertise with application design and software development in Big Data (Spark(Pyspark), HIVE). Experience ...

Salt River Project

Principal Data Engineer

Tempe, AZ · On-site

SQL (T-SQL, SnowSQL), Python * Platforms/Tools: Power BI, Snowflake, Microsoft Azure, Azure Data ... Experience mentoring other engineers and influencing engineering best practices. Preferred ...

SRP

Principal Data Engineer

Tempe, AZ · On-site

SQL (T-SQL, SnowSQL), Python * Platforms/Tools: Power BI, Snowflake, Microsoft Azure, Azure Data ... Experience mentoring other engineers and influencing engineering best practices. Preferred ...

MSR Technology Group

Senior Data Engineer

Scottsdale, AZ

$106K - $145K/yr

... Python, leveraging advanced statistical routines, Machine Learning and other AI technologies ... Drives engineering efforts for Data Warehouse and Big Data infrastructure needs, including but not ...

PetSmart

Senior Data Engineer

Phoenix, AZ · Hybrid

$100K - $135K/yr

The Senior Data Engineer is responsible for creating sustainable reporting, analytic, and data ... ELT and Python-based frameworks. 6) Champion efforts to ensure appropriate development best ...

Posted today

Ventechsoft Inc

Google Cloud Platform Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Bachelor''s or Master''s degree in Computer Science, Engineering, Information Systems, or a related ... Strong proficiency with SQL, Python, and/or Java/Scala for data processing and scripting. * Proven ...

Maxima Technologies, LLC

Senior Data Engineer (W2)

Phoenix, AZ · On-site

$105K - $143K/yr

... Python with practical experience in development and debugging. 4) experience in performance tuning, workload optimization, and implementing cost-effective design solutions in data engineering ...

New

Citizens

Principal Data Engineer - Neo4J

Phoenix, AZ · On-site

Proficiency in Python Business Outcomes and Impacts * Enable enhanced fraud detection and ... data engineering, including experience leading engineers and technical teams * Proven experience ...

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Data Engineer Python information

See Arizona salary details

$21.4K

$130.4K

$188.7K

How much do data engineer python jobs pay per year?

As of Jul 10, 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 job?

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 are the key skills and qualifications needed to thrive in the Data Engineer Python position, and why are they important?

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.

What are the typical daily responsibilities of a Data Engineer Python?

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 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 July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $130,437 per year, or $62.7 per hour.

Data Engineer III

Iridium Satellite, LLC

Chandler, AZ • On-site

$90K - $120K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday

Job description

Company Overview
Iridium is an award-winning and innovative satellite communications company with bragging rights to the only network that offers voice and data connectivity anywhere in the world. For over 20 years, Iridium's unique network and services have supported critical communications needs for individuals, businesses, and the evolving Internet of Things.
At Iridium, we understand the importance of staying connected and the limitations of traditional communications networks. People across the globe, including first responders, humanitarians, global militaries, scientific researchers, and lone workers, as well as ships, aircraft and remote operations all rely on Iridium to stay connected. We take our responsibility for providing these essential communications very seriously and pride ourselves on offering a reliable lifeline when needed. Likewise, Iridium is committed to providing an exciting and innovative workplace, where employees are challenged to think outside the box and collaborate on new, bold ideas and solutions. Our talented teams are passionate about their work and the impact our company makes around the world. Iridium fosters an empowering and inclusive culture that allows employees to genuinely be their best selves. We are looking for others who want to join this truly unique company that celebrates our employees and provides the opportunity to truly make a difference in the world.
Base Pay Range: $90,000 - $120,000 USD
Actual compensation will be determined based on a variety of factors and this range represents an estimate of compensation at the time of posting. Base salary is only one part of our compensation package for this role. You may also be eligible for company stock and annual bonus. Employee benefits also include medical, dental, and vision insurance coverage; 401(k) retirement plan options; paid time off and paid holidays; paid parental leave; and other discounts and perks.
What We're Looking For:
If you are experienced in data engineering, cloud-based data platforms, and enterprise data modernization, and have 5+ years of experience designing and supporting scalable data solutions, then you will be excited about the Data Engineer opening with Iridium on our Enterprise Data team. As a Data Engineer III, you'll be responsible for delivering high-quality work that advances Iridium's enterprise data modernization and consolidation initiatives, ensuring scalable, reliable, and secure data foundations that support evolving business needs. In this role, you will focus primarily on designing and optimizing cloud-based data pipelines, ingestion frameworks, and data models that power analytics, reporting, operational insights, and more real-time data delivery, including modernization of QoS-related data pipelines. You will thrive in this role if you enjoy solving complex technical challenges, working with cross-functional partners, and building high-quality data infrastructure that drives strategic decision-making.
What You'll Do:
  • Contribute to the design, development, and optimization of scalable, reliable, and efficient data pipelines and ETL processes
  • Build and enhance data ingestion frameworks using AWS services such as Glue and DataSync, along with platforms including Snowflake and DBT
  • Support the implementation of strategies for ingesting structured and unstructured data from databases, APIs, and streaming sources, ensuring data quality, accuracy, and security
  • Troubleshoot, diagnose, and resolve issues related to data pipelines and ingestion processes
  • Develop and maintain data models to support analytics, reporting, and cross-functional business needs
  • Ensure adherence to data governance, compliance requirements, and security best practices
  • Monitor, maintain, and optimize the health and performance of the data infrastructure to proactively identify bottlenecks or inefficiencies
  • Work with cross-functional teams to translate business requirements into scalable data solutions
  • Support the onboarding and integration of QoS data initiatives, enabling more real-time operational visibility

What You'll Need to Succeed:
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
  • 5+ years of relevant experience in data engineering
  • Prior experience in effectively collaborating and communicating with engineering teams and business stakeholders to build and maintain productive working relationships
  • Strong proficiency in Snowflake, DBT, SQL, Python, and modern ETL/ELT frameworks
  • Experience with data pipeline design, data modeling, streaming and batch ingestion technologies such as Kafka and NiFi/Openflow
  • Hands-on experience with AWS cloud services and data quality, governance, and performance-tuning practices
  • Ability to translate business requirements into scalable data architectures
  • Telecom or satellite industry experience is a plus
  • Strong organizational skills with the ability to set personal priorities and assist others in executing assigned tasks, with guidance; proactively communicates bandwidth issues to manager
  • Good communication skills, with the ability to comfortably present products, deliverables, analyses, and/or issues to groups within your team
  • Able to create, edit, and structure documents with minimal guidance
  • Demonstrates active listening and asks substantive, thought-provoking questions
  • Possess an analytical mindset, with the ability to understand key outputs of data analysis, make routine decisions using data, and recognize and propose solutions to issues
  • Proactive in providing formal and informal feedback to peers and managers
  • Facilitates teamwork, positively impacts team/peer group, and demonstrates ownership of assigned tasks and activities
Things That Would be Great if You Brought to the Table:
  • Experience with data orchestration tools such as Airflow
  • Familiarity with CI/CD pipelines, infrastructure-as-code, or data quality frameworks
  • AWS certifications or Snowflake certifications
We'll also need you to:
  • Be able to work in the office at least 60% of the time (3 days per week) to foster collaboration with the team and stakeholders
  • Be on call
  • Must be a US Person

Work Environment:
This position primarily works in an office setting and is largely sedentary with the majority of the position working with a computer. The role typically requires the use of basic office equipment such as a phone, video, computer, keyboard, mouse, and printer.
We believe in-person connection drives innovation, strengthens mentorship, and builds culture, while flexibility enables employees to do their best work. Under Iridium's Hybrid Work Policy, employees are expected to work at least three days per week (approximately 60%) in an Iridium office to support collaboration, relationship-building, and professional growth.
Additional Information
This job description outlines the general nature and level of work for this role and is not a comprehensive list of duties, responsibilities, or qualifications. Employees may be assigned additional responsibilities as needed.
Iridium is an Equal Opportunity Employer, including individuals with disabilities and protected veterans.

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