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Python S Jobs in Pennsylvania (NOW HIRING)

SANS

Python Data Engineer

Philadelphia, PA · On-site

Write production-grade Python for data processing and integration between on-prem and cloud systems. * Define data reconciliation and data lineage processes so the client can trust what the pipelines ...

New

Kanak Elite Services Inc

Python AI Developer- Lead

Malvern, PA · On-site

$137K - $168K/yr

Python AI Developer- Lead Any Visa is okay Location: Malvern, PA (Hybrid- 3 days a week onsite & must be willing to relocate and be onsite on day 1) Candidates is able to take the code assessment in ...

ACA Group

Python/AI Product Engineer

Pittsburgh, PA · Hybrid

OR Pittsburgh The ideal candidate has deep expertise in Python development, distributed cloud architectures, databases, and modern AI orchestration frameworks such as LangChain and LangGraph. This ...

Deloitte

Power BI/Python Developer

Mechanicsburg, PA · Hybrid

$47.75 - $65.75/hr

Leverage Python for data wrangling, automation, and advanced analytics to enhance reporting capabilities and streamline processes. * Collaborate with cross-functional government and contractor teams ...

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All JobsPython S JobsPython S Jobs in Pennsylvania

Python S information

What is the difference between Python S and Python Developer?

AspectPython SPython Developer
Required CredentialsTypically no formal certification, but familiarity with Python basicsBachelor's in CS or related field, often with Python certifications
Work EnvironmentResearch labs, academic settings, or specialized industriesTech companies, startups, or software development firms
Industry UsageUsed mainly in research, data analysis, or academic projectsDeveloping applications, web services, automation scripts
Common Search/ComparisonOften compared in academic or research contextsMore common in job listings and industry roles

Python S typically refers to a specialized or research-focused use of Python, often in academic or scientific settings, whereas Python Developer is a broader industry role focused on developing software applications using Python. While both require familiarity with Python, Python Developer roles usually demand additional programming skills and industry experience.

Are Python still in demand in 2026?

Python developers are expected to remain in high demand in 2026 due to Python's widespread use in data science, machine learning, web development, and automation. Proficiency in frameworks like Django or Flask and knowledge of related tools will continue to enhance job prospects for Python specialists.

What jobs is Python useful for?

Python is useful for a variety of jobs including software development, data analysis, machine learning, automation, and web development. It is widely used by data scientists, backend developers, and automation engineers due to its simplicity and extensive libraries like Pandas, NumPy, and Django.

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

To thrive as a Python Software Engineer, you need strong proficiency in Python programming, problem-solving abilities, and often a degree in computer science or a related field. Familiarity with frameworks like Django or Flask, version control systems such as Git, and experience with databases are typically expected, along with relevant certifications like PCEP or PCAP being a plus. Effective communication, teamwork, and adaptability are vital soft skills that help engineers collaborate and respond to changing project requirements. These combined skills ensure the ability to build robust, scalable applications and contribute effectively to development teams.

Will AI replace Python coders?

Python developers are unlikely to be fully replaced by AI, as coding requires problem-solving, creativity, and understanding of complex systems that AI currently cannot fully replicate. AI tools can assist programmers by automating repetitive tasks and improving efficiency, but human oversight and expertise remain essential for designing, debugging, and maintaining software. Staying updated with new technologies and enhancing skills in areas like machine learning and automation can help Python coders remain valuable in the evolving tech landscape.

What are some common challenges Python Software Engineers face when working on large-scale projects?

Python Software Engineers working on large-scale projects often encounter challenges such as managing codebase complexity, ensuring code performance, and maintaining effective collaboration within cross-functional teams. As projects grow, it's crucial to implement robust testing, documentation, and version control practices to avoid technical debt. Additionally, optimizing Python code for speed and memory efficiency can be important, especially when dealing with high-traffic systems or big data. Regular communication with product managers, designers, and other developers helps ensure that project goals are met efficiently and any issues are addressed early.

What are Python Software Engineers?

Python Software Engineers are professionals who design, develop, test, and maintain software applications using the Python programming language. They work on a variety of projects, including web development, data analysis, automation, artificial intelligence, and more. Their role often involves writing clean, efficient code, collaborating with other developers or teams, and solving technical problems. Python Software Engineers are valued for their versatility, as Python is used across many industries and for diverse applications.

What jobs can I do with just Python?

With Python skills, you can pursue roles such as Python developer, data analyst, automation engineer, or backend programmer. These jobs often require knowledge of libraries like pandas, Django, or Flask, and may involve tasks like scripting, data processing, or web development.
What are popular job titles related to Python S jobs in Pennsylvania? For Python S jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Python S jobs in Pennsylvania look for? The top searched job categories for Python S jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Python S jobs? Cities in Pennsylvania with the most Python S job openings:
Python S jobs near you

Python Data Engineer

SANS

Philadelphia, PA • On-site

Other

Posted 2 days ago

Job description


Client is placing a senior data integration consultant embedded at a financial services client. The consultant works onsite as part of the client's data engineering effort, integrating the client's systems and data sources with Client's Declarative Agentic Framework (DAF) and connected products.
This is delivery work, not advisory. The consultant owns the data pipelines, warehouse structures, and integration points that the deployment depends on, and is accountable for data quality and reliability in production.
What the Consultant Will Do

  • Design and build data integration pipelines connecting client source systems (reference data, pricing, transaction, custody, or similar) to client's AI's platform .
  • Own data warehouse and data lake architecture for the engagement, including ingestion, transformation, and data quality rules.
  • Work hands-on with ETL tooling (Informatica, Snowflake, or equivalent) and cloud data platforms (AWS or Azure).
  • Write production-grade Python for data processing and integration between on-prem and cloud systems.
  • Define data reconciliation and data lineage processes so the client can trust what the pipelines produce.
  • Coordinate with the client's data engineering, ops, and compliance stakeholders, and with client's AI's deployment team.
  • Document architecture decisions and integration patterns so the work is defensible and repeatable across future deployments.

Required Background

  • 10+ years in enterprise data architecture, data engineering, or solution architecture roles.
  • Direct experience in financial services, ideally capital markets, asset management, or securities operations. Candidate should recognize terms like reference data, corporate actions, and reconciliation without explanation.
  • Hands-on ETL and data warehousing expertise: Informatica, Snowflake , or comparable enterprise-grade tooling .
  • Production Python for data pipelines and integration work , not scripting on the side.
  • Experience with REST APIs, message queues (Kafka or similar), and containerized deployments (Docker).
  • Track record owning delivery end to end, from data analysis and architecture through production support, ideally with distributed or offshore team coordination.
  • Comfortable being the senior technical presence in the room with client stakeholders from day one. No ramp-up period.

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