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Remote Python Data Engineer Jobs in Pennsylvania

Varsity Tutors

Python Tutor

State College, PA · Remote

$40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

Varsity Tutors

Python Tutor

Harrisburg, PA · Remote

$40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

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Python Tutor

Reading, PA · Remote

$40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

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Python Tutor

Erie, PA · Remote

$40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

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Python Tutor

Chester, PA · Remote

$40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

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Python Tutor

Pittsburgh, PA · Remote

$40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

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Python Tutor

Allentown, PA · Remote

$40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

WebstaurantStore

Senior BI Engineer, Data

Lititz, PA · On-site +1

$98K - $133K/yr

Develop Python based ingestion utilities, automation scripts, and reusable components. * Establish ... Remote Work Qualifications * Access to a reliable and secure high-speed internet connection. Cable ...

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All JobsPython Data Engineer JobsRemote Python Data Engineer JobsRemote Python Data Engineer Jobs in Pennsylvania

Remote Python Data Engineer information

See Pennsylvania salary details

$59.8K

$135.5K

$192K

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

As of Jun 18, 2026, the average yearly pay for remote python data engineer in Pennsylvania is $135,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,200.00 and $156,700.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Python Data Engineer, you need strong proficiency in Python, data modeling, and ETL pipeline development, typically backed by a degree in computer science or a related field. Familiarity with tools like Apache Airflow, SQL databases, cloud platforms (such as AWS or GCP), and certifications in data engineering are highly valuable. Excellent problem-solving, communication, and self-motivation are crucial soft skills for remote collaboration and project delivery. These skills ensure efficient data processing, seamless teamwork across distributed environments, and the reliable delivery of scalable data solutions.

How do Remote Python Data Engineers typically collaborate with distributed teams to ensure smooth project delivery?

Remote Python Data Engineers work closely with cross-functional teams, including data scientists, analysts, and DevOps engineers, often using collaboration tools like Slack, Jira, and GitHub to coordinate work. Regular virtual meetings, clear documentation, and code reviews are essential for maintaining alignment and ensuring code quality. Emphasis is placed on asynchronous communication and well-structured version control practices to overcome time zone differences and keep projects on track. Adapting to these remote workflows is key for successful project delivery in a distributed environment.

What is a Remote Python Data Engineer?

A Remote Python Data Engineer is a professional who specializes in designing, building, and maintaining data pipelines and architectures, primarily using Python, while working from a location outside of a traditional office setting. They are responsible for collecting, transforming, and storing vast amounts of data to support analytics and business intelligence tasks. Their role often involves working with cloud platforms, databases, and big data technologies to ensure efficient data processing and accessibility for other teams. Remote Python Data Engineers collaborate with data scientists, analysts, and developers, leveraging Python's extensive libraries to automate workflows and solve complex data challenges.

What is the difference between Remote Python Data Engineer vs Remote Data Scientist?

AspectRemote Python Data EngineerRemote Data Scientist
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in CS, Statistics, Data Science certifications
Work EnvironmentData pipelines, ETL processes, cloud platformsData analysis, modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcareResearch institutions, tech firms, marketing agencies
Common Search & ComparisonYesYes

Remote Python Data Engineers focus on building and maintaining data pipelines and infrastructure using Python, while Remote Data Scientists analyze data, develop models, and generate insights. Both roles often collaborate but serve different functions within data teams.

Remote Python Data Engineer jobs near you

Senior AI / ML Engineer - Enterprise Data & GenAI Solutions - AIRLHV

NavitasPartners

Erie, PA • On-site, Remote

$101K - $139K/yr

Full-time

Posted 21 days ago

Job description

Senior AI / ML Engineer – Enterprise Data & GenAI Solutions

Location: US / Canada (Remote/Hybrid)
Type: Contract / Full-Time

Overview:

We are hiring a Senior AI/ML Engineer to lead development of enterprise-grade AI and GenAI solutions. This role bridges data engineering, ML engineering, and cloud architecture to deliver scalable AI systems.

Key Responsibilities:

  • Build and scale ML pipelines and GenAI applications
  • Integrate AI solutions with enterprise data platforms
  • Implement MLOps frameworks for automation and governance
  • Optimize models and pipelines for performance and cost efficiency

Required Skills:

  • Strong experience in ML engineering, MLOps, and AI system design
  • Expertise in Python, PyTorch, and related ML frameworks
  • Experience with cloud platforms (AWS, Azure, GCP)
  • Strong understanding of data pipelines and integration

Nice to Have / Coverage:

  • Experience with data platforms such as Databricks, Snowflake, Azure Synapse, BigQuery
  • Exposure to GenAI tools (LangChain, LLM orchestration frameworks)
  • Knowledge of Responsible AI, governance, and compliance
  • Experience in enterprise-scale AI deployments

For more details reach at resumes@navitassols.com.