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Data Engineer, Python ETL

Chicago, IL · On-site

Data Engineer, Python & ETL, Chicago, IL A proprietary trading firm is seeking a Data Engineer, Python & ETL to join its Data Infrastructure team, to help improve and extend the data platform. This ...

Next Step Systems

Data Engineer, Python & ETL

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer, Python & ETL, Chicago, IL A proprietary trading firm is seeking a Data Engineer, Python & ETL to join its Data Infrastructure team, to help improve and extend the data platform. This ...

AM Best Company

Data Engineer - Python

Oldwick, NJ · Hybrid

Educational assistance program Overview The Data Engineer is responsible for designing, building ... Server-side Python processes utilizing concurrency patterns with asyncio, mutli-processing, and ...

SierTeK

Data Engineer/Python SQL Developer*

Dayton, OH · On-site

$48.75 - $67.25/hr

Data Engineer/Python SQL Developer SierTeK proudly serves our clients by providing expertise in the Program Management, Information Technology, and Administrative Support domains. Founded in 2007 as ...

SierTeK Ltd.

Data Engineer/Python SQL Developer

Dayton, OH · On-site

$46.75 - $64.50/hr

SierTeK Ltd. is seeking a Data Engineer/Python & SQL Developer to support an opportunity remotely. PLEASE APPLY DIRECLTY ON OUR WEBSITE: Position Overview Section We are seeking a highly qualified ...

SierTeK Ltd.

Data Engineer/Python SQL Developer

Dayton, OH · On-site

$46.75 - $64.50/hr

SierTeK Ltd. is seeking a Data Engineer/Python & SQL Developer to support an opportunity remotely. PLEASE APPLY DIRECLTY ON OUR WEBSITE: www.siertek.com/careers Position Overview Section We are ...

SIERTEK LTD

Data Engineer/Python SQL Developer*

Beavercreek, OH · On-site +1

$46.75 - $64.50/hr

SierTeK Ltd. is seeking a Data Engineer/Python & SQL Developer to support an opportunity remotely. Position Overview Section We are seeking a highly qualified Data Engineer / Python & SQL Developer ...

SIERTEK

Data Engineer/Python SQL Developer

Dayton, OH · Remote

$46.75 - $64.50/hr

SierTeK Ltd. is seeking a Data Engineer/Python & SQL Developer to support an opportunity remotely. PLEASE APPLY DIRECLTY ON OUR WEBSITE: www.siertek.com/careers Position Overview Section We are ...

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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 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.
Data Engineer (Python)

Data Engineer (Python)

Noblesoft Technologies

Auburn Hills, MI • On-site

$108K - $130K/yr

Contractor

Posted 22 days ago

Job description

Job Role: Senior Data Engineer (Python)

Location: Auburn Hills, MI
 

Mandatory Skills: Data Engineering, Python, PySpark, CI/CD, Airflow, Workflow Orchestration

Overall Experience: 8+ years of relevant experience

JOB REQUIREMENTS -

The Senior Data Engineer & Technical Lead (SDET Lead) will play a pivotal role in delivering major data engineering initiatives within the Data & Advanced Analytics space. This position requires hands-on expertise in building, deploying, and maintaining robust data pipelines using Python, PySpark, and Airflow, as well as designing and implementing CI/CD processes for data engineering projects

Key Responsibilities
1. Data Engineering: Design, develop, and optimize scalable data pipelines using Python and PySpark for batch and streaming workloads.
2. Workflow Orchestration: Build, schedule, and monitor complex workflows using Airflow, ensuring reliability and maintainability.
3. CI/CD Pipeline Development: Architect and implement CI/CD pipelines for data engineering projects using GitHub, Docker, and cloud-native solutions.
4. Testing & Quality: Apply test-driven development (TDD) practices and automate unit/integration tests for data pipelines.
5. Secure Development: Implement secure coding best practices and design patterns throughout the development lifecycle.
6. Collaboration: Work closely with Data Architects, QA teams, and business stakeholders to translate requirements into technical solutions.
7. Documentation: Create and maintain technical documentation, including process/data flow diagrams and system design artifacts.
8. Mentorship: Lead and mentor junior engineers, providing guidance on coding, testing, and deployment best practices.
9. Troubleshooting: Analyze and resolve technical issues across the data stack, including pipeline failures and performance bottlenecks.
Cross-Team Knowledge Sharing: Cross-train team members outside the project team (e.g., operations support) for full knowledge coverage.

Includes all above skills, plus the following;
·         Minimum of 7+ years overall IT experience
·         Experienced in waterfall, iterative, and agile methodologies

Technical Experience:

1. Hands-on Data Engineering : Minimum 5+ years of practical experience building production-grade data pipelines using Python and PySpark.
2. Airflow Expertise: Proven track record of designing, deploying, and managing Airflow DAGs in enterprise environments.
3. CI/CD for Data Projects : Ability to build and maintain CI/CD pipelines for data engineering workflows, including automated testing and deployment**.
4. Cloud & Containers: Experience with containerization (Docker and cloud platforms (GCP) for data engineering workloads. Appreciation for twelve-factor design principles
5. Python Fluency : Ability to write object-oriented Python code manage dependencies, and follow industry best practices
6. Version Control: Proficiency with **Git** for source code management and collaboration (commits, branching, merging, GitHub/GitLab workflows).
7. Unix/Linux: Strong command-line skills** in Unix-like environments.
8. SQL : Solid understanding of SQL for data ingestion and analysis.
9. Collaborative Development : Comfortable with code reviews, pair programming and using remote collaboration tools effectively.
10. Engineering Mindset: Writes code with an eye for maintainability and testability; excited to build production-grade software
11. Education: Bachelor’s or graduate degree in Computer Science, Data Analytics or related field, or equivalent work experience.

Unique Skills

• Graduate degree in a related field, such as Computer Science or Data Analytics
• Familiarity with Test-Driven Development (TDD)
• A high tolerance for OpenShift, Cloudera, Tableau, Confluence, Jira, and other enterprise tools