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Data Engineer Python Jobs in Arizona (NOW HIRING)

Immediate Hiring | Python Data Engineer / API Developer We are hiring experienced Python Data Engineers / API Developers for enterprise-level projects. If you have strong expertise in PySpark, GCP ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Python, Java, C++, JavaScript • Experience with big data preprocessing and transformation tools ... Engineering, Data Management, Analytics & AI, and Digital Ent Solutions Founded in 2001, the ...

Data Engineer

Scottsdale, AZ

$115K - $139K/yr

... Python with working knowledge on Notebooks 2 years of experience with Kafka PubSub Docker ... Data Engineer This is a high PRIORITY requisition.

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Python/Pyspark & Azure, ADF, SQL, SQL Server, Data Warehousing, ETL Secondary: Databricks Nice to ... Document component design for developers and for broader communication. * Understand and adopt an ...

Data Engineer

Scottsdale, AZ

$115K - $139K/yr

... in Data Engineering with an emphasis on Data Warehousing and Data Analytics 4 years of experience ... Python with working knowledge on Notebooks 2 years of experience with Kafka PubSub Docker ...

Data Engineer

Scottsdale, AZ · On-site

$115K - $139K/yr

Job Title: Data Engineer Location: Scottsdale, AZ (onsite day 1) Key Responsibilities: Build ... Proficient in Java, Python or Scala Cloud experience Experience with relational SQL and NoSQL ...

Data engineer

Phoenix, AZ · Hybrid

$113K - $136K/yr

Location - Phx Duration - 6+ months easily Positions - 2 Skills - Need two very string Data Engineers with extremely good hold on Bigdarta, MySQL, Python, GCP-Airflow. Working mode - Hybrid (3 days ...

Data Engineer

Phoenix, AZ

$108K - $130K/yr

It requires strong proficiency in SQL and Python, as well as deep experience with Azure data services such as Synapse, Data Factory, Logic Apps, and Microsoft Fabric. The Data Engineer is responsible ...

Data Engineer

Phoenix, AZ · On-site

$108K - $130K/yr

It requires strong proficiency in SQL and Python, as well as deep experience with Azure data services such as Synapse, Data Factory, Logic Apps, and Microsoft Fabric. The Data Engineer is responsible ...

Senior Data Engineer - Spark/Python/Shell, GCP (BigQuery/Airflow/DataProc/PubSub), Kafka/Git/Jenkins (AXP LUMI preferred) Please apply on our company website with reference to job ID, or contact me ...

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GCP Data Engineer

Phoenix, AZ · On-site

$111K - $133K/yr

... Python expertise Strong Data and GCP Vertex AI knowledge 6 years of experience with one of the ... DevOps and CICD related technologies Excellent written verbal communication skills including ...

Data Engineer

Phoenix, AZ

$113K - $136K/yr

It requires strong proficiency in SQL and Python, as well as deep experience with Azure data services such as Synapse, Data Factory, Logic Apps, and Microsoft Fabric. The Data Engineer is responsible ...

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 ...

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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 Jun 19, 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 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:

Python Data Engineer

Perficientcorp Inc

Phoenix, AZ • On-site

Contractor

Posted 23 days ago


Job description

Immediate Hiring | Python Data Engineer / API Developer

We are hiring experienced Python Data Engineers / API Developers for enterprise-level projects. If you have strong expertise in PySpark, GCP, and scalable API development, we’d love to connect with you.

Required Skills:

PySpark & distributed data processing
Python API development using FastAPI or Flask
Google Cloud Platform (GCP): BigQuery, Composer, DAGs, Cloud Storage
Batch and real-time data pipeline development
Data quality, monitoring, and validation frameworks
Performance optimization and security best practices
BI tools such as Power BI and MicroStrategy

Job Details
Experience Required: 9+ years
Location: Salt Lake City, UT, and multiple locations
Opportunity Type: Enterprise-level projects