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Afternoon 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 ...

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 ...

They are seeking a talented Python Data Engineer to enhance their data assets and support analytical capabilities, working closely with traders, analysts, and data scientists. Responsibilities : • ...

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 ...

Job Summary : Diverse Lynx is seeking a Lead Python Data Engineer to join their team. The role involves hands-on experience in Python data engineering and requires expertise in AWS and data ...

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Afternoon Data Engineer Python information

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$23K

$140K

$202.5K

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

As of Jul 15, 2026, the average yearly pay for afternoon data engineer python in the United States is $139,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,500.00 and $164,500.00 per year, depending on experience, location, and employer.

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

AspectAfternoon Data Engineer PythonData Analyst
Required SkillsPython, SQL, ETL, cloud platforms, data modelingExcel, SQL, data visualization, basic Python
Work EnvironmentData pipelines, backend systems, cloud infrastructureReporting, dashboards, business insights
CertificationsData engineering certifications (e.g., Google Cloud, AWS)Data analysis or business intelligence certifications

Afternoon Data Engineer Python roles focus on building and maintaining data pipelines using Python and related technologies, often in cloud environments. Data Analysts primarily interpret data through visualization and reporting tools. While both roles require SQL and data handling skills, data engineers work more on infrastructure, whereas data analysts focus on insights and presentation.

What cities are hiring for Afternoon Data Engineer Python jobs? Cities with the most Afternoon 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 Afternoon Data Engineer Python jobs? States with the most job openings for Afternoon Data Engineer Python jobs include:
Infographic showing various Afternoon Data Engineer Python job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 51% Full Time, 39% Part Time, 1% Temporary, 2% Contract, and 6% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $139,971 per year, or $67.3 per hour.

Python Data Engineer

Perficientcorp Inc

Phoenix, AZ • On-site

Contractor

Re-posted 19 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