ZipRecruiter

Log In

1

Afternoon Data Engineer Python Jobs (NOW HIRING)

Perficientcorp Inc

Python Data Engineer

Phoenix, AZ · On-site

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 ...

RIT Solutions

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 ...

Marencor

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 ...

Inizio Partners

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 ...

VC5 Consulting

Python Data Engineer

Houston, TX · On-site

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 ...

Kanak Elite Services Inc

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 ...

next page

Showing results 1-20

All JobsAfternoon Data Engineer Python Jobs

Afternoon Data Engineer Python information

See salary details

$23K

$140K

$202.5K

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

As of Jun 25, 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.

Are Python coders still in demand?

Python coders, including data engineers, are in high demand due to the language's versatility and widespread use in data analysis, machine learning, and automation. Skills in Python, along with knowledge of frameworks like Pandas and tools such as SQL and cloud platforms, enhance employability in various industries.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in Python, cloud platforms, and big data tools can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other benefits.

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.

How much does a Python data engineer make?

A Python data engineer's salary typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals with strong skills in data pipelines, cloud platforms, and relevant tools like SQL and Spark tend to earn higher salaries.

Will AI replace data engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining data pipelines and infrastructure that require human expertise. Instead, AI tools can augment their work by automating repetitive tasks and enhancing data processing efficiency, but skilled data engineers are essential for managing complex systems and ensuring data quality.
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:
Afternoon Data Engineer Python jobs near you
Infographic showing various Afternoon Data Engineer Python job openings in the United States as of June 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% 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

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