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Weekend Python Jobs in Pennsylvania (NOW HIRING)

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 ...

Python AI Developer- Lead

Malvern, PA ยท 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 ...

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 ...

Power BI/Python Developer

Mechanicsburg, PA ยท 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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Weekend Python information

What are the key skills and qualifications needed to thrive in the Weekend Python position, and why are they important?

To thrive as a Weekend Python Developer, you need strong proficiency in Python programming, software development principles, and experience with version control systems, typically demonstrated through a relevant degree or coding portfolio. Familiarity with web frameworks (like Django or Flask), databases, and cloud platforms such as AWS or Azure is often required, and certifications in Python or cloud technologies can be advantageous. Excellent time management, problem-solving abilities, and strong communication skills allow effective remote collaboration and independent work over weekends. These competencies enable Weekend Python Developers to efficiently contribute to projects, meet deadlines, and integrate seamlessly with teams despite non-traditional working hours.

What kind of projects and tasks can a Weekend Python Developer expect to work on?

As a Weekend Python Developer, you may be responsible for tasks such as developing and maintaining backend systems, building APIs, automating scripts, or supporting ongoing projects that require weekend coverage. You might also assist in bug fixes, code reviews, database management, or integrating third-party services, depending on your team's priorities. This role often involves remote work and close collaboration with developers, project managers, or DevOps engineers to ensure project milestones are met. Projects can range from web applications and data processing pipelines to automation tools, providing opportunities to build valuable real-world experience and demonstrate reliability in flexible work environments.

What is a Weekend Python job?

A Weekend Python job is a role that involves working with Python programming primarily on weekends. These positions are often part-time, freelance, or contract-based and may include tasks such as scripting, automation, data analysis, or web development. They are ideal for students, professionals seeking extra income, or those looking to gain more experience with Python while maintaining a weekday job. Companies may hire Weekend Python developers to handle specific tasks, maintain systems, or support ongoing projects outside regular business hours.

What are the most commonly searched types of Python jobs in Pennsylvania? The most popular types of Python jobs in Pennsylvania are:
What job categories do people searching Weekend Python jobs in Pennsylvania look for? The top searched job categories for Weekend Python jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Weekend Python jobs? Cities in Pennsylvania with the most Weekend Python job openings:

Python Data Engineer

SANS

Philadelphia, PA โ€ข On-site

Other

Posted 3 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.