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Junior Python Engineer Jobs in Pennsylvania (NOW HIRING)

GCS

Data Engineer

Philadelphia, PA

$115K - $138K/yr

Design and maintain scalable ELT/ETL pipelines using SQL, Python, dbt, and cloud-native ... Mentor junior engineers and contribute to technical leadership, architecture decisions, and code ...

Tata Consultancy Service Limited

Engineer

Pittsburgh, PA · On-site

$90K - $100K/yr

... Python, or C#. * Team Leadership & Mentoring: Lead, mentor, and guide junior automation engineers in best practices, coding standards, and testing techniques. * Scripting & Execution: Oversee the ...

LotusLynx

Senior Machine Learning Engineer

Pittsburgh, PA

$97K - $134K/yr

Mentor junior engineers and share technical expertise across the team * Lead technical initiatives ... Python * SQL * Spark * Hive * Linux * Git * OpenShift MLOps & Platform Engineering * Production ...

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Junior Python Engineer information

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$33.6K

$72K

$109.8K

How much do junior python engineer jobs pay per year?

As of Jun 14, 2026, the average yearly pay for junior python engineer in Pennsylvania is $71,972.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,600.00 and $80,200.00 per year, depending on experience, location, and employer.

What is the difference between Junior Python Engineer vs Junior Data Analyst?

AspectJunior Python EngineerJunior Data Analyst
Required SkillsPython programming, basic data structures, scriptingData visualization, SQL, Excel, basic statistics
CertificationsPython certifications, coding bootcampsData analysis certifications, Excel courses
Work EnvironmentSoftware development teams, tech companiesBusiness intelligence teams, finance, marketing
Industry UsageSoftware, tech, startupsFinance, marketing, consulting

The main difference between a Junior Python Engineer and a Junior Data Analyst lies in their focus areas. Junior Python Engineers primarily develop and maintain software using Python, while Junior Data Analysts analyze data to generate insights. Both roles require some overlapping skills like basic programming, but their tools and end goals differ significantly.

What are Junior Python Engineers?

Junior Python Engineers are entry-level software developers who specialize in using the Python programming language to build, test, and maintain software applications. They typically work under the guidance of more experienced developers, contributing to coding, debugging, and documentation tasks. Junior Python Engineers may also assist in writing scripts, automating processes, and learning best practices in software development as they gain experience. This role is ideal for recent graduates or those with limited professional experience in programming.

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

To thrive as a Junior Python Engineer, you need a solid understanding of Python programming, basic software development principles, and a relevant degree or coding bootcamp experience. Familiarity with version control systems like Git, integrated development environments (IDEs), and common Python libraries such as Flask or Django is typically expected. Strong problem-solving skills, willingness to learn, and effective communication make a candidate stand out in collaborative development teams. These skills are vital for producing reliable code, integrating smoothly into team workflows, and growing quickly in a technical environment.

What are some typical projects or tasks a Junior Python Engineer might work on in their first year?

As a Junior Python Engineer, you can expect to work on a range of foundational tasks such as writing and debugging code, developing scripts for automation, assisting in the maintenance of existing applications, and supporting the implementation of new features under the guidance of senior engineers. You may also participate in code reviews, collaborate with cross-functional teams like QA or DevOps, and handle data manipulation or API integrations. This hands-on experience helps you build confidence and deepen your understanding of industry-standard development practices.
What are the most commonly searched types of Python Engineer jobs in Pennsylvania? The most popular types of Python Engineer jobs in Pennsylvania are:
Junior Python Engineer jobs near you
Data Engineer

Data Engineer

GCS

Philadelphia, PA

$115K - $138K/yr

Other

Posted 6 days ago

Job description

We are seeking an experienced Data Engineer to design, build, and optimize scalable data platforms that support analytics, reporting, and data-driven decision-making across the organization. This role will partner closely with Product, Analytics, Data Science, and Engineering teams to develop reliable, high-performance data solutions and drive best practices in modern data engineering.

Key Responsibilities

  • Design and maintain scalable ELT/ETL pipelines using SQL, Python, dbt, and cloud-native technologies.
  • Build and optimize data warehouse and lakehouse solutions leveraging Snowflake, Databricks, and AWS services.
  • Develop dimensional data models and analytics-ready datasets to support business intelligence and advanced analytics.
  • Implement data quality, monitoring, and observability frameworks to ensure data reliability and trust.
  • Build and support batch and near-real-time data pipelines using Kafka, Spark, and Airflow.
  • Optimize platform performance, scalability, and cost across data infrastructure and workloads.
  • Collaborate with cross-functional stakeholders to translate business requirements into scalable data solutions.
  • Drive CI/CD, infrastructure-as-code, and engineering best practices across the data platform.
  • Mentor junior engineers and contribute to technical leadership, architecture decisions, and code reviews.

Required Skills

  • 8+ years of experience in Data Engineering or related fields.
  • Advanced SQL and Python development experience.
  • Strong expertise with Snowflake, dbt, Airflow, and modern ELT frameworks.
  • Experience designing dimensional models and enterprise-scale data warehouses.
  • Hands-on experience with Kafka, Spark/PySpark, and streaming data architectures.
  • Strong understanding of cloud platforms, particularly AWS.
  • Experience with Terraform, Docker, Kubernetes, and CI/CD pipelines.
  • Knowledge of data governance, schema evolution, data quality, and observability practices.

Qualifications

  • Experience supporting analytics, product, marketplace, ecommerce, or customer data platforms.
  • Exposure to Databricks and multi-cloud environments.
  • Background partnering with Data Science, Product, and Analytics teams.
  • Master''s degree in Mathematics, Computer Science, Engineering, or a related quantitative field.

Apply