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Data Scientist Data Engineer Python Developer Jobs

Intellectix

Data Scientist

Saint Louis, MO · On-site

Data Scientist Location: St. Louis, MO Clearance: TS/SCI Citizenship: US Citizenship Required ... Direct experience and demonstrated proficiency with Python programming to build containerized ...

Intellectix

Data Scientist

Saint Louis, MO · On-site

Data Scientist Location: St. Louis, MO Clearance: TS/SCI Citizenship: US Citizenship Required ... Direct experience and demonstrated proficiency with Python programming to build containerized ...

Intellectix

Data Scientist

Springfield, VA · On-site

Data Scientist Location: Springfield, VA Clearance: TS/SCI Citizenship: US Citizenship Required ... Direct experience and demonstrated proficiency with Python programming to build containerized ...

mthree

Python Developer/Data Engineer

New York, NY · On-site

$55 - $75.75/hr

Data Science and DevOps areas. Our Expert program offers experienced professionals access to top ... Proficiency in Python, with a strong understanding of object-oriented programming principles.

MANTECH

Data Scientist

Fort George G Meade, MD · On-site

... research, engineering, computer science, data science, physics, or related discipline) or 4 ... Python, R, SQL, or similar). Preferred Qualifications: * Experience developing, deploying, and ...

PlanIT Group, LLC

Data Engineer - Python/

Washington, DC · On-site

$129K - $155K/yr

Required : • Bachelor's or master's degree in computer science, Information Technology, or a ... as a Data Engineer or similar role. • Strong programming skills in Python and expertise in ...

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How much do data scientist data engineer python developer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for data scientist data engineer python developer in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

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For Data Scientist Data Engineer Python Developer jobs, the most frequently searched job titles are:

Infographic showing various Data Scientist Data Engineer Python Developer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Engineer (Python)

Auburn Hills, MI • On-site

Noblesoft Technologies
Software Development • 51 - 200 employees
Learn more about Noblesoft Technologiesexternal

$108K - $130K/yr

Contractor

Re-posted 9 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