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Trainee Data Engineer Python Jobs (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 ...

Senior Azure Data Engineer (Python/C#)

$108K - $147K/yr

Senior Azure Data Engineer (Python/C#) Location: 100% Remote Top Skills: * PySpark or Scala * Spark SQL * Delta lakes * Python/C#--can have worked in the past is fine Primary Duties And ...

AWS Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

AWS Data Engineer (Python, Dataiku) Location: SFO, CA - Hybrid Job Brief As an AWS Data Engineer, your role will be to design, develop, and maintain scalable data pipelines on AWS. You will work ...

Data Engineer - Healthcare

Tampa, FL · Remote

$108K - $129K/yr

Position - Data Engineer (Python + React, Healthcare Domain) Location - Tampa/Remote Number of positions - 2 Overview We are seeking a Data Engineer with strong experience in Python and React to ...

A well-established energy trading firm in Houston is seeking a seasoned Python Data Engineer to expand its data assets and directly elevate its analytical and trading capabilities. In this role, you ...

Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

Python, AWS (S3, Redshift, Aurora, Athena, Glue), Github, Bitbucket, Bamboo, Agile, Growth mindset, Quick learner, Adobe, Kore * Data Engineer: Nice to have: DPX blueprint process, Dremio, Dell Boomi ...

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Trainee Data Engineer Python information

See salary details

$44.5K

$129.7K

$177.5K

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

As of Jun 25, 2026, the average yearly pay for trainee data engineer python in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

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

AspectTrainee Data Engineer PythonData Analyst
Required SkillsPython, SQL, basic data engineering conceptsExcel, SQL, data visualization tools
Work EnvironmentData engineering teams, cloud platformsBusiness units, reporting teams
CertificationsPython certifications, data engineering coursesExcel, Tableau, Power BI certifications
Industry UsageBuilding data pipelines, ETL processesData analysis, reporting, insights

While both roles involve working with data, a Trainee Data Engineer Python focuses on developing data pipelines and infrastructure using Python, whereas a Data Analyst primarily interprets data to generate reports and insights. The former requires programming skills and knowledge of data engineering tools, while the latter emphasizes data visualization and business understanding.

More about Trainee Data Engineer Python jobs
What cities are hiring for Trainee Data Engineer Python jobs? Cities with the most Trainee Data Engineer Python job openings:
What are the most commonly searched types of Data Engineer Python jobs? The most popular types of Data Engineer Python jobs are:
What states have the most Trainee Data Engineer Python jobs? States with the most job openings for Trainee Data Engineer Python jobs include:
What job categories do people searching Trainee Data Engineer Python jobs look for? The top searched job categories for Trainee Data Engineer Python jobs are:
Infographic showing various Trainee Data Engineer Python job openings in the United States as of June 2026, with employment types broken down into 85% Full Time, 6% Part Time, and 9% Nights. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Python Data Engineer

Perficientcorp Inc

Phoenix, AZ • On-site

Contractor

Posted 28 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