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Senior Data Engineer Python Jobs (NOW HIRING)

Apex Informatics

Data Engineer

$117K - $140K/yr

Senior Data Engineer Location: Remote Duration: 06 Months (C2H Role) Main Skills: Data Engineer/ Python/Pyspark/ SQL/ ETL/ DBT (Data Build Type)/ AWS Position Summary: The Senior Data Engineer leads ...

Apex Informatics

DATA ENGINEER

$117K - $140K/yr

Senior Data Engineer Location: Remote Duration: 06 Months (C2H Role) Main Skills: Data Engineer/ Python/Pyspark/ SQL/ ETL/ DBT (Data Build Type)/ AWS Position Summary: The Senior Data Engineer leads ...

ComboCurve, Inc.

Senior Data Engineer, Python

Houston, TX · On-site +1

$109K - $131K/yr

We are seeking a highly analytical and experienced Senior Data Engineer to help optimize production ... This role requires a unique combination of deep Python expertise, mastery of modern data processing ...

E-Solutions

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

Senior Data Engineer Location - Chicago, IL (3 days onsite mandatory) Rate - 65-70 Databricks, ADF ... Automate workflows using Python scripting and CI/CD pipelines. * Troubleshoot and resolve issues in ...

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 ... Consultant/Senior Consultant (or USDC/PDM/Specialist equivalent) Highly Desired Qualifications

FOCUSPOINT

Senior Data Engineer

Brentwood, TN · On-site

$55 - $65/hr

Senior Data Engineer (Azure / Databricks) Location: Multiple U.S. locations (client sites vary ... Develop Python and PySpark transformations. * Integrate data from ERP, project management, cost ...

Hirekeyz Inc

Senior Data Engineer

Sunnyvale, CA · On-site

$124K - $169K/yr

Tableau, Python, Snowflake. Overview: We are seeking an experienced Senior Data Engineer with at least 8 years of industry experience and strong expertise in Python and Snowflake . The ideal ...

Ampcus

Sr. Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

AWS (EMR, DynamoDB, S3, Lambda), Python, PySpark, Databricks, SQL Overview: We are seeking a highly skilled Sr. Data Engineer to join our team in Chicago. The ideal candidate will have extensive ...

Donato Technologies, Inc

Senior Data Engineer

Sunnyvale, CA · On-site

$124K - $169K/yr

Tableau, Python, Snowflake. Overview: We are seeking an experienced Senior Data Engineer with at least 8 years of industry experience and strong expertise in Python and Snowflake . The ideal ...

Damco Solutions

Senior Data Engineer

$108K - $147K/yr

Senior Data Engineer Dearborn, MI 12 Months Contract 100% Remote - if someone is local to Michigan ... Python * Terraform * Exposure to Looker

NextStep

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 ...

ICS Global Soft INC

Senior Data Engineer

Boston, MA · On-site +1

$115K - $156K/yr

Data Engineer & Senior Data Engineer Location: Remote or Boston, MA & San Mateo, CA Duration: FTE ... Idealcandidate will be strong in SQL, python, tableau, Qlik or another cloud DV tooland mid (Boston ...

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Senior Data Engineer Python information

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$81K

$126.3K

$175K

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

As of Jun 24, 2026, the average yearly pay for senior data engineer python in the United States is $126,328.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $144,000.00 per year, depending on experience, location, and employer.

What does a Senior Data Engineer Python do?

A Senior Data Engineer Python is responsible for designing, building, and maintaining complex data pipelines and architectures using Python as a primary programming language. They work with large datasets, ensuring data is collected, stored, and processed efficiently to support analytics and business intelligence. Their role often includes optimizing data workflows, collaborating with data scientists, and implementing data quality and security best practices. Senior Data Engineers also mentor junior team members and may help define data engineering strategies for their organization.

What are the key skills and qualifications needed to thrive as a Senior Data Engineer Python, and why are they important?

To thrive as a Senior Data Engineer Python, you need deep expertise in Python programming, data modeling, and ETL pipeline design, often supported by a degree in computer science or a related field. Familiarity with big data frameworks (such as Spark or Hadoop), cloud platforms (like AWS, GCP, or Azure), and relevant certifications are highly valued. Strong problem-solving, communication, and leadership skills enable effective collaboration and project delivery in cross-functional teams. These competencies are crucial for building robust, scalable data solutions that drive business insights and operational efficiency.

What is the difference between Senior Data Engineer Python vs Data Engineer Python?

AspectSenior Data Engineer PythonData Engineer Python
Required Experience5+ years, leadership skills1-3 years, foundational skills
ResponsibilitiesDesigning architecture, mentoring, complex data pipelinesBuilding data pipelines, data collection, basic ETL tasks
CertificationsRelevant certifications (e.g., AWS, GCP)Entry-level certifications preferred
Work EnvironmentCross-functional teams, project leadershipData teams, development environment

Senior Data Engineer Python roles typically require more experience, leadership, and complex project responsibilities compared to Data Engineer Python roles, which focus on building and maintaining data pipelines with less emphasis on leadership.

How does a Senior Data Engineer specializing in Python typically collaborate with data scientists and other engineering teams?

A Senior Data Engineer working with Python often plays a central role in bridging the gap between data science and engineering teams. They design and maintain robust data pipelines that ensure clean, reliable data is available for analytics and machine learning projects. Collaboration involves frequent communication with data scientists to understand data requirements and with software engineers to integrate data solutions into production systems. This multidisciplinary teamwork helps streamline project workflows and drives the development of scalable data solutions across the organization.
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What are the most commonly searched types of Data Engineer Python jobs? The most popular types of Data Engineer Python jobs are:
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Senior Data Engineer Python jobs near you
Infographic showing various Senior Data Engineer Python job openings in the United States as of June 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $126,328 per year, or $60.7 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