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Senior Data Engineer Python Jobs (NOW HIRING)

RIT Solutions, Inc.

Data Engineer/Python

Malvern, PA · Hybrid

$112.40K - $134.90K/yr

Data Engineer/Python MALVERN, PA - HYBRID Senior Data Engineer Location: Malvern, PA (Hybrid) Experience Level: Level 4 (8+ years) Role Summary We are seeking a highly motivated Senior Data Engineer ...

BravoTech

Senior Data Engineer

Dallas, TX · On-site

$99.60K - $135.30K/yr

Data Engineer, Python, Palantir, Foundry, PySpark, SQL, ETL, Pandas, GIT The Senior Data Engineer will serve as a key technical leader in designing, building, and owning scalable, reliable, and well ...

Apex Informatics

Data Engineer

$117.20K - $140.70K/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

$117.20K - $140.70K/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

$109.30K - $131.30K/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 ...

RIT Solutions

Data Engineer/Python

Malvern, PA · Hybrid

$112.40K - $134.90K/yr

Senior Data Engineer Location: Malvern, PA (Hybrid) Experience Level: Level 4 (8+ years) Role ... Expertise in Python (estimated 80-90% of development work). * Experience with AWS services ...

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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 4, 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 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.

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.

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 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.

More about Senior Data Engineer Python jobs
What cities are hiring for Senior Data Engineer Python jobs? Cities with the most Senior 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:
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What job categories do people searching Senior Data Engineer Python jobs look for? The top searched job categories for Senior Data Engineer Python jobs are:
Senior Data Engineer Python jobs near you
Infographic showing various Senior Data Engineer Python job openings in the United States as of May 2026, with employment types broken down into 7% As Needed, 60% Full Time, 29% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $126,328 per year, or $60.7 per hour.
Sr. Data Engineer (Python/AWS)

Sr. Data Engineer (Python/AWS)

Software Technology Inc

Reston, VA • Hybrid

$119.10K - $143K/yr

Other

Posted 27 days ago

Job description

Sr. Data Engineer (Python/AWS)

CGI has an immediate need for a Sr. Data Engineer (Python/AWS) to join our financial services team in Reston, VA (must be local and able to work hybrid in office 2x/week). This is an exciting opportunity to work in a fast-paced team environment supporting one of the largest leaders in the secondary mortgage industry. We take an innovative approach to supporting our client, working side-by-side in an agile environment using emerging technologies.

We partner with 15 of the top 20 banks globally, and our top 10 banking clients have worked with us for an average of 26 years! We have over 73,000+ CGI Members in 40 countries and over 5k+ loyal Clients who are leveraging our end-to-end services across the globe.

Your Future Duties and Responsibilities

In this role you will be focused on AWS Development and Architecture. We are looking for hands-on professionals who can build good technical solutions and then roll up their sleeves to implement the solution.

Required qualifications to be successful in this role:

  • 8+ years of IT Data Engineering experiences.
  • 4+ years of experience with Python (must have)
  • Must have strong experience with SQL, Databases (Oracle, PostgreSQL, Aurora)
  • 2+ years of experience with Data engineering (EMR, PySpark, Redshift, Glue)
  • Strong experience with data migration, cloud migration, and ETL.
  • Strong experience with AWS Lambda, Fargate, SNS, Elastic Beanstalk, ECS, and CloudWatch.
  • Experience with enterprise data lakes, data warehouses, data marts, and big data.
  • Excellent communication skills to ask questions, clarify requirements, and engage with the team and stakeholders.
  • Strong logic, reasoning, and critical thinking skills to solve problems as they arise.
  • Must be an independent problem solver who can evaluate a situation and build solution options.

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