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Python Data Developer Jobs in Pennsylvania (NOW HIRING)

Dorman Products, Inc.

Data Engineering Lead

Colmar, PA · On-site

$113K - $136K/yr

This role will leverage Python to develop scalable, distributed data pipelines, perform data ... Primary Duties Data Engineering & Pipeline Development * Build and maintain scalable ETL/ELT ...

Dorman Products

Data Engineering Lead

Colmar, PA · Hybrid

$113K - $136K/yr

This role will leverage Python to develop scalable, distributed data pipelines, perform data ... Primary Duties Data Engineering & Pipeline Development * Build and maintain scalable ETL/ELT ...

Dorman Products

Data Engineering Lead

Colmar, PA · Hybrid

$113K - $136K/yr

This role will leverage Python to develop scalable, distributed data pipelines, perform data ... Primary Duties Data Engineering & Pipeline Development * Build and maintain scalable ETL/ELT ...

SysMind Tech

Data Engineer - Databricks

Pittsburgh, PA · On-site

$108K - $130K/yr

Contract Role Overview We are seeking an experienced Data Engineer with strong expertise in Databricks, Python, and Spark to design and build scalable data pipelines. The ideal candidate will have ...

Hamiltonlane

Data Engineer

Conshohocken, PA

$112K - $135K/yr

We are seeking a talented ETL Data Engineer with strong experience in Python and Azure Synapse Analytics to join our dynamic team. As an ETL Data Engineer, you will play a critical role in our ...

SysMind Tech

Data Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

S.) This role requires core experience and expertise on - Databricks (advanced, hands-on), Python, ETL/ELT pipeline development, Spark (SQL/PySpark). Job purpose * The Data Engineer will be ...

Hamilton Lane

Data Engineer

Conshohocken, PA · On-site

$112K - $135K/yr

We are seeking a talented ETL Data Engineer with strong experience in Python and Azure Synapse Analytics to join our dynamic team. As an ETL Data Engineer, you will play a critical role in our ...

SANS

AI/ML Developer with Data Engineering

Philadelphia, PA

$115K - $138K/yr

If they are fluent with Python and API development and streaming systems like Kafka or similar ... Title - Senior Data Engineer / AI Engineer (Agentic AI Platform Financial Data) Location: On-site 2 ...

Data Ideology

Sr. Data Engineer (Snowflake)

Pittsburgh, PA · Remote

$111K - $133K/yr

Develop and optimize data pipelines using tools such as dbt, Python, CloverDX, and cloud-native ... Mentor junior engineers and support knowledge sharing across the team. Supervisory Responsibilities:

GCS

Data Engineer

Philadelphia, PA

$115K - $138K/yr

We are seeking an experienced Data Engineer to design, build, and optimize scalable data platforms ... Design and maintain scalable ELT/ETL pipelines using SQL, Python, dbt, and cloud-native ...

USM

Urgent Need Python Developer

Philadelphia, PA

$50.75 - $70/hr

... SOA, BPM, Data Warehousing, SharePoint Consulting and IT Infrastructure. Our other offerings ... Python Developer with Falcon exp Location: Philadelphia, PA Duration: 6+ months Must have: o Python ...

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

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 ...

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 ...

Varsity Tutors

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 ...

Varsity Tutors

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 ...

Varsity Tutors

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 Data Developer information

What are some common challenges faced by Python Data Developers when working with large datasets?

Python Data Developers often encounter challenges related to efficiently processing and managing large datasets, such as optimizing data pipelines for speed and memory usage. Handling data quality issues, integrating data from multiple sources, and ensuring scalability of their solutions are also frequent hurdles. Collaboration with data engineers, analysts, and stakeholders is crucial for understanding requirements and delivering robust results. Staying up to date with the latest libraries and tools, like Pandas, Dask, or PySpark, is also important to overcome these challenges and maintain high performance.

What is the difference between Python Data Developer vs Data Analyst?

AspectPython Data DeveloperData Analyst
Required SkillsPython, SQL, data modeling, ETL processesExcel, SQL, data visualization, basic statistics
CertificationsPython certifications, data engineering coursesData analysis certifications, Excel certifications
Work EnvironmentData engineering teams, software development projectsBusiness units, reporting teams
Industry UsageTech, finance, healthcare, where data pipelines are neededMarketing, finance, operations for insights and reporting

The Python Data Developer focuses on building data pipelines, integrating data sources, and developing scalable data solutions using Python. In contrast, Data Analysts primarily interpret data, create reports, and provide insights for decision-making. While both roles require SQL and data handling skills, Python Data Developers are more involved in data engineering tasks, whereas Data Analysts focus on data visualization and analysis.

What are Python Data Developers?

Python Data Developers are professionals who use the Python programming language to collect, process, and analyze data. They build and maintain data pipelines, write scripts for data manipulation, and work with databases to ensure data is accessible and usable for analytics and business insights. These developers often collaborate with data scientists, analysts, and other IT professionals to support data-driven decision-making within an organization.

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

To excel as a Python Data Developer, you need strong programming skills in Python, a solid understanding of data structures, algorithms, and experience with relational and NoSQL databases. Familiarity with data processing libraries (like Pandas, NumPy), ETL tools, and version control systems, as well as knowledge of cloud platforms (such as AWS or Azure), are typically required. Problem-solving ability, attention to detail, and effective communication are vital soft skills in this role. These skills enable efficient data pipeline development, ensure data quality, and facilitate collaboration within technical teams.
What are popular job titles related to Python Data Developer jobs in Pennsylvania? For Python Data Developer jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Python Data Developer jobs in Pennsylvania look for? The top searched job categories for Python Data Developer jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Python Data Developer jobs? Cities in Pennsylvania with the most Python Data Developer job openings:
Python Data Developer jobs near you
Infographic showing various Python Data Developer job openings in Pennsylvania as of June 2026, with employment types broken down into 1% Locum Tenens, 82% Full Time, 5% Part Time, 4% Temporary, 6% Contract, and 2% Nights. Highlights an 79% Physical, 8% Hybrid, and 13% Remote job distribution.
Data Engineering Lead

Data Engineering Lead

Dorman Products, Inc.

Colmar, PA • On-site

$113K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago

Dorman Products rating

7.7

Company rating: 7.7 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

188th of 518 rated manufacturers

Job description

Dorman was founded on the belief that people should have greater freedom to fix motor vehicles. For over 100 years, we have been driving new solutions, releasing tens of thousands of aftermarket replacement products engineered to save time and money, and increase convenience and reliability. Founded and headquartered in the United States, we are a pioneering global organization offering an always-evolving catalog of automotive, heavy-duty and specialty vehicle products. Today, we have more than 3,800 employees across 29 different locations, with a family of brands that also includes SuperATV and Dayton Parts. Reaching a revenue of $2.13 billion in 2025, Dorman is publicly traded under the stock ticker DORM.
Everyone who works at Dorman is called a Contributor. We need everyone, regardless of role and experience, to contribute to our success. That means everyone has a unique ability to make an impact on the business. We encourage all our Contributors to bring their authentic selves to work. The freedom to pursue new ideas, offer different perspectives, and grow in your career is fundamental to working at Dorman.
Job Summary
Dorman Products is seeking a Data Engineering Lead to build and scale modern data engineering capabilities while supporting our existing enterprise data environment. This role is hands-on and engineering-driven, with a strong emphasis on dimensional modeling, data pipeline development, and modern cloud platforms including Microsoft Fabric, Azure Data Lake, and Databricks. This role will leverage Python to develop scalable, distributed data pipelines, perform data transformation and validation, and enable advanced data processing within a Lakehouse architecture. Our major ERP source system is SAP ECC, with SAP APO as a key demand-planning source. SAP HANA remains part of our current analytics and data warehousing environment and will continue to serve as a source system for SAP-related data as needed. Experience with HANA is helpful but not required. Current tool stack includes SAP ECC, SAP APO, SAP HANA, SAP SLT, SAP Data Services, SQL Server, Power BI, Qlik SaaS, and SAP Business Objects.
This is a hybrid role in our corporate headquarters in suburban Philadelphia (Colmar, PA) with the expectation to be onsite two days per week.
Primary Duties
Data Engineering & Pipeline Development
  • Build and maintain scalable ETL/ELT pipelines using Databricks, Fabric pipelines, and Python
  • Develop ingestion and transformation frameworks aligned to Lakehouse and Medallion patterns, leveraging Python for distributed data processing and orchestration logic
  • Implement reusable Python-based data processing modules for parsing, enrichment, and handling semi-structured data (JSON, XML, APIs)
  • Integrate data from SAP ECC, SAP APO, SAP HANA, and other enterprise systems into the modern platform
  • Ensure reliability, performance, and observability across pipelines, including logging, error handling, and monitoring patterns

Dimensional Modeling, Semantic Modeling & Data Structures
  • Design and implement dimensional models using star schema patterns to support analytics and AI workloads
  • Build and maintain semantic models (e.g., business-friendly datasets, curated subject areas, reusable metrics)
  • Develop conceptual, logical, and physical data structures for enterprise reporting and data products

Platform Modernization & Engineering Leadership
  • Contribute to the build-out of Azure Data Lake, Fabric, Databricks, and Delta Lake environments
  • Lead engineering practices including CI/CD, Git-based workflows, and code quality standards
  • Establish Python development standards (modular design, code reuse, testing practices, dependency management)
  • Drive adoption of notebook-based and production-grade Python workflows in Databricks (jobs, pipelines, reusable libraries)
  • Support existing HANA-based data models and integrations while modern cloud architecture is built and expanded

Data Quality, Governance & Performance
  • Implement data quality checks, lineage, and metadata standards
  • Develop data validation frameworks to enforce business rules, schema checks, and data quality thresholds
  • Monitor and optimize pipeline and query performance
  • Align engineering work with enterprise governance frameworks

Collaboration & Team Leadership
  • Mentor data engineers and BI/reporting developers
  • Translate business needs into scalable engineering solutions
  • Partner with analytics teams to enable self-service and AI-driven use cases

Qualifications
Core Technical Skills (MUST HAVE)
  • Strong experience in dimensional modeling and semantic modeling
  • Hands-on experience with Azure Data Lake, Fabric, Databricks, Delta Lake, and Python
  • Experience building ETL/ELT pipelines and working with Lakehouse/Medallion architectures
  • Strong understanding of Python-based data engineering concepts, including:
    • DataFrames (Spark / pandas)
    • Data cleansing and transformation patterns
    • Handling structured and semi-structured data
    • Performance optimization in distributed processing

SAP (Nice to Have, Not Required)
  • Familiarity with SAP ECC as a primary ERP source system
  • Understanding of SAP APO demand-planning data structures
  • Exposure to HANA modeling or extraction patterns

Analytics & Tools
  • Power BI experience preferred
  • GitHub, CI/CD, and data governance tooling familiarity

Education / Experience
  • Bachelor's degree in Computer Science, Information Systems, or related field
  • 5+ years in data engineering / data architecture
  • 3+ years in leadership or senior technical role

#LI-EK1
The US base salary range for this full-time position is $102,900.00 to $153,100.00. This role is also eligible for a bonus. The actual base pay offered to the successful candidate will depend on multiple factors, including but not limited to job-related knowledge and skills, experience, business needs, geographical location, and internal pay equity. Compensation decisions are made based on the specific facts and circumstances of each role and candidate.
As a Dorman US contributor, you (and eligible dependents, as applicable) will have access to medical, dental, vision, basic life insurance, paid time off (sick/vacation), and Paid Parental Leave. U.S. employees are entitled to paid holidays, floating holidays, and paid time off starting in their first year of employment depending on hire date. You are also able to participate in our 401k retirement plan (with company match and profit-sharing) and Discounted Employee Stock Purchase Plan.
Dorman Products is an equal opportunity employer; we value a combination of ideas, perspectives, and cultures at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sex, gender identity, sexual orientation, age, marital status, veteran status, or disability status. EEO/AA Employer M/F/D/V. www.DormanProducts.com

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