1

Python Etl Data Engineer Jobs in Tempe, AZ (NOW HIRING)

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Strong proficiency with SQL, Python, and/or Java/Scala for data processing and scripting. * Proven ... Experience in building large-scale ETL/ELT pipelines and optimizing query performance on cloud ...

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

... ETL process for various datasets that are being ingested • Determine best way to extract ... Python, Scala with working knowledge on Notebooks • 3+ years hands on experience on GCP Cloud ...

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Strong proficiency with SQL, Python, and/or Java/Scala for data processing and scripting. * Proven ... Experience in building large-scale ETL/ELT pipelines and optimizing query performance on cloud ...

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Strong proficiency with SQL, Python, and/or Java/Scala for data processing and scripting. * Proven ... Experience in building large-scale ETL/ELT pipelines and optimizing query performance on cloud ...

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Strong proficiency with SQL, Python, and/or Java/Scala for data processing and scripting. * Proven ... Experience in building large-scale ETL/ELT pipelines and optimizing query performance on cloud ...

Data Architect

Chandler, AZ · On-site

$61.50 - $79/hr

Solid understanding of ETL design, orchestration, and optimization in cloud platforms. Job Requirements We are looking for a Data Engineer with strong expertise in AWS, Python, and Conversational ...

Ab Initio Developer Phoenix, AZ Phoenix, Arizona (Local Candidates Only) 6-8 Years Experience (No ... Experience developing and supporting ETL/Data Integration solutions * Good understanding of data ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Data Engineer Location: Phoenix, AZ(Hybrid) Job Type: FTE Key Responsibilities Data Platform ... and Python for data analytics and transformation. * Hands-on experience with ETL pipeline ...

Senior Data Platform Engineer

Tempe, AZ · On-site

$109K - $131K/yr

Strong skills in SQL, Python, PySpark, ETL/ELT frameworks, and experience with Delta Lake, Unity ... Expertise in data engineering and data warehousing, consistently delivering enterprise-grade ...

Data Engineers with Lumi

Phoenix, AZ · On-site

$113K - $136K/yr

... Engineer with a solid experience of building Bigdata, Google Cloud Platform Cloud based ETL ... Python, shell scripting ,Kafka, Git, etc. Strong experience in designing, developing, and ...

Create and maintain SSIS packages for ETL operations, ensuring data integrity and scalability across integrated systems. Support application development, contributing to backend logic, system ...

GCP Architect

Chandler, AZ · Remote

$65.25 - $84/hr

Design, develop, and maintain ETL/ELT pipelines to ensure seamless data flow from various sources ... Python, or Java 8+ years of experience as a Data Engineer or in a similar role Technical ...

Showing results 41-60

Python Etl Data Engineer information

See Tempe, AZ salary details

$22K

$134.1K

$193.9K

How much do python etl data engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for python etl data engineer in Tempe, AZ is $134,061.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,800.00 and $157,600.00 per year, depending on experience, location, and employer.

What is the difference between Python Etl Data Engineer vs Data Analyst?

AspectPython Etl Data EngineerData Analyst
Required SkillsPython, ETL tools, SQL, data modelingExcel, SQL, data visualization, basic scripting
Work EnvironmentData pipelines, backend systems, cloud platformsData interpretation, reporting, business insights
CertificationsETL certifications, Python certifications, cloud certificationsData analysis, business intelligence certifications

Python Etl Data Engineers focus on building and maintaining data pipelines using Python and ETL tools, working primarily with backend systems and cloud platforms. Data Analysts interpret data, create reports, and provide business insights, often using Excel and visualization tools. While both roles require SQL knowledge, Python Etl Data Engineers emphasize data infrastructure, whereas Data Analysts focus on data interpretation and presentation.

Infographic showing various Python Etl Data Engineer job openings in Tempe, AZ as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $134,061 per year, or $64.5 per hour.

GCP Data Engineer

Phoenix, AZ • On-site

Tiger Analytics
Business Management Consulting • 201 - 500 employees

$113K - $136K/yr

Other

Re-posted 4 days ago


Job description

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.

We are seeking an experienced Data Engineer to join our team, specifically focused on building large-scale ETL/ELT pipelines and analytical architectures within the GCP ecosystem. We are seeking an experienced and dynamic professional to play a key role in assessing, planning, and driving enterprise migration programs across data, applications, and cloud platforms. This role will help clients modernize their technology landscape, optimize legacy systems, and enable scalable, cloud-native architectures aligned with business goals.

  • 5+ years of experience in data engineering, with at least 3+ years working extensively on GCP.
  • Strong proficiency with SQL, Python, and/or Java/Scala for data processing and scripting.
  • Proven experience with GCP services such as: BigQuery, Dataflow / Apache Beam, Dataproc, Pub/Sub, Cloud Storage, Cloud Composer (Airflow), Cloud Functions
  • Experience in building large-scale ETL/ELT pipelines and optimizing query performance on cloud platforms.
  • Solid understanding of data modeling, partitioning, and schema design for analytical workloads.
  • Familiarity with CI/CD practices, Terraform, and version control (e.g., Git).
  • Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field.

Disclaimer
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

#J-18808-Ljbffr