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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 ...

New

Data Engineer

Snowflake, AZ · Remote

$97.80K - $117.40K/yr

The ideal candidate has solid hands‐on experience with Apache Airflow, Snowflake, and Python, and ... Requirements 3-5 years of proven experience as a Data Engineer , with strong expertise in designing ...

Data Engineer

Phoenix, AZ

$113.70K - $136.50K/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 ...

GCP Data Engineer

Phoenix, AZ · On-site

$111.40K - $133.80K/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

$110K - $120K/yr

Transform and validate data using SQL, Python, and Fabric notebooks * Support integrations ... Data Engineer * Strong SQL skills; experience with Python * Experience with healthcare or ...

Data Engineer

Tempe, AZ · On-site +1

$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 ...

GCP Data Engineer

Phoenix, AZ · On-site

$113.70K - $136.50K/yr

GCP Data Engineer (Data Engineering & Analytics / Cloud Migration) Location: phoenix , AZ ... Python, SQL, and data transformation frameworks (e.g., Dataflow, Dataproc, or Apache Beam ...

Data Engineer

Phoenix, AZ

$113.70K - $136.50K/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 ...

Data Engineer

Mesa, AZ · Hybrid

$113.60K - $136.40K/yr

Strong proficiency in Python and SQL for data engineering workflows * Hands-on experience with Microsoft Fabric (OneLake, Lakehouse, Data Factory, Spark notebooks) and Power BI integration * Solid ...

GCP Data Engineer

Phoenix, AZ · On-site

$113.70K - $136.50K/yr

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

Data Engineer

Tempe, AZ · On-site

$99.60K - $156.50K/yr

Python (Programming Language) - Preferred * SQL (Programming Language) - Preferred * Extract Transform Load (ETL) - Preferred * Data Pipelines - Preferred * Computer Science - Preferred * Apache ...

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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 May 30, 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:
Infographic showing various Data Engineer Python job openings in Arizona as of May 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 85% In-person, 12% Hybrid, and 3% Remote job distribution, with an average salary of $130,437 per year, or $62.7 per hour.

Python Data Engineer

Perficientcorp Inc

Phoenix, AZ • On-site

Contractor

Posted 2 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