1

Afternoon Data Engineer Python Jobs (NOW HIRING)

AWS Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Strong background in designing, developing, and maintaining scalable data pipelines for ingestion and processing using Python, Spark, and AWS services AWS Data Engineer, Python, Spark, AWS Services ...

Data Engineer (Python/Spark)

Austin, TX · On-site

$113K - $136K/yr

They are seeking a dynamic Data Engineer to design, build, and maintain reliable and scalable data ... Required : • 3+ years of hands-on experience in Python. • 3+ years of hands-on experience in ...

Senior Data Engineer, Python

Houston, TX · On-site +1

$109K - $131K/yr

... of deep Python expertise, mastery of modern data processing and API frameworks, and a strong foundational understanding of mathematics, reasoning, and petroleum engineering principles.

Data Engineer

$117K - $140K/yr

Data Engineer/ Python/Pyspark/ SQL/ ETL/ DBT (Data Build Type)/ AWS Position Summary: The Senior Data Engineer leads complex data engineering projects, working on designing data architectures that ...

Data Engineer

Sunnyvale, CA · On-site

$136K - $163K/yr

Data Engineer ( python, pyspark, scala, airflow) Location:Sunnyvale CA ( Hybrid ) Duration: 6 to 12+ Months Rate: DOE Bachelor or master's degree in computer science, Software Engineering, or a ...

DATA ENGINEER

$117K - $140K/yr

Data Engineer/ Python/Pyspark/ SQL/ ETL/ DBT (Data Build Type)/ AWS Position Summary: The Senior Data Engineer leads complex data engineering projects, working on designing data architectures that ...

We are looking for a motivated Data Engineer with experience on Google Cloud Platform GCP using Python programming * This role is ideal for someone eager to build scalable data pipelines and grow in ...

Data Engineer (Python/PySpark/AWS)

Ashburn, VA · On-site

$117K - $140K/yr

As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our clients data infrastructure. Your expertise in Python, PySpark, ETL processes, CI/CD (Jenkins or GitHub ...

Data Engineer (Python/PySpark/AWS)

Ashburn, VA · On-site

$117K - $140K/yr

As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our clients data infrastructure. Your expertise in Python, PySpark, ETL processes, CI/CD (Jenkins or GitHub ...

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Data Engineer (Python,FAST API, Apache) Charlotte, NC Contract We are seeking a Python-based platform engineer to design and build a containerized API layer that abstracts and governs interactions ...

next page

Showing results 1-20

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:
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.

$109K - $132K/yr

Contractor

Posted 16 days ago


Job description

Irving, TX 3 days onsite/week.

Duration: 10 Monts+

USC and GC preffered

Required Skills:

Data Engineer ,Python ,Airflow ,GCP ,React/Node

  • Strong Data Engineering Experience- Must
  • Data Engineering should be the candidate's core background.
  • Experience building and supporting data pipelines.
  • Strong hands-on Python development.
  • Apache Airflow experience must remain intact.
  • Strong preference for Google Cloud Platform (GCP) - Significantly important for this role
  • Candidates with other major cloud platforms (AWS/Azure) may still be considered.
  • Must have current hands-on experience with:
  • React
  • Node.js
  • React Forms
  • Application build/development activities
  • Looking for developers who actively code, not candidates with only historical exposure.