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Gis Python Developer Remote Jobs in Lancaster, PA

Senior Modeling Engineer

York, PA · On-site +1

$102K - $141K/yr

... also be a remote opportunity for the right candidate! How You Will Do It * Develop numerical ... Python scripting and environment management (package installation, virtual environments, basic ...

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 ...

Strategist Reporting Capabilities

Hershey, PA · Remote

$77K - $89K/yr

Hershey, PA or Remote Summary This role sits at the intersection of analytics, IS/data platforms ... Handson experience using SQL and Python to extract, manipulate, and analyze large datasets

This role can be remote in some US states (See below for remote work requirements) or based in one ... Collaborating with our analytics engineers to gather the right information from various sources so ...

This role can be remote in some US states (See below for remote work requirements) or based in one ... Collaborating with our analytics engineers to gather the right information from various sources so ...

Data Scientist 3

Lititz, PA · On-site +1

$130K - $150K/yr

This role can be remote in some US states (See below for remote work requirements) or based in one ... Collaborating with our analytics engineers to gather the right information from various sources so ...

This role can be remote in some US states (See below for remote work requirements) or based in one ... Collaborating with our analytics engineers to gather the right information from various sources so ...

Job Summary The Enterprise BI & Analytics Team is the central hub of analytics and data engineering ... Remote Work Qualifications * Access to a reliable and secure high-speed internet connection. Cable ...

Gis Python Developer Remote information

See Lancaster, PA salary details

$12

$56

$83

How much do gis python developer remote jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for gis python developer remote in Lancaster, PA is $56.97, according to ZipRecruiter salary data. Most workers in this role earn between $46.97 and $64.71 per hour, depending on experience, location, and employer.

What is a GIS Python Developer (Remote)?

A GIS Python Developer (Remote) is a software developer who specializes in using the Python programming language to work with Geographic Information Systems (GIS) while working from a remote location. Their primary responsibilities include creating, maintaining, and optimizing geospatial data processing applications, automating GIS workflows, and integrating spatial data with various software platforms. They often use libraries like ArcPy, GeoPandas, and GDAL, and collaborate with teams on mapping, analysis, and visualization projects. Remote GIS Python Developers need strong programming and GIS skills, as well as the ability to communicate and manage projects virtually.

What are the key skills and qualifications needed to thrive as a GIS Python Developer (Remote), and why are they important?

To thrive as a GIS Python Developer working remotely, you need strong proficiency in GIS concepts, spatial data analysis, Python programming, and a relevant degree in geography, computer science, or a related field. Familiarity with tools such as ArcGIS, QGIS, GDAL/OGR, and libraries like GeoPandas and Shapely, along with experience using version control systems like Git, is typically required. Excellent problem-solving, communication, and self-motivation are crucial soft skills for collaborating with distributed teams and managing projects independently. These skills and qualities are vital for delivering accurate geospatial solutions, ensuring effective teamwork, and adapting to a remote work environment.

What is the difference between Gis Python Developer Remote vs GIS Analyst?

AspectGis Python Developer RemoteGIS Analyst
Required CredentialsBachelor's in GIS, Computer Science, or related field; Python programming skillsBachelor's in Geography, GIS, or related field; GIS software proficiency
Work EnvironmentRemote, often collaborative with development teamsOn-site or remote, focused on data analysis and mapping
Industry UsageTech, environmental, urban planning companiesGovernment agencies, consulting firms, environmental organizations
Common Search/ComparisonYesNo

Gis Python Developers remote focus on coding, software development, and automation using Python, often working on GIS applications. In contrast, GIS Analysts primarily analyze spatial data and create maps. While both roles require GIS knowledge, the developer role emphasizes programming skills and software creation, whereas the analyst role centers on data interpretation and reporting.

What are some common challenges faced by remote GIS Python Developers, and how can they be effectively addressed?

Remote GIS Python Developers often encounter challenges such as collaborating across time zones, accessing large spatial datasets, and integrating with diverse geospatial systems. Effective communication with team members using collaboration tools, establishing clear version control practices, and leveraging cloud-based geospatial platforms can help address these hurdles. Additionally, regularly participating in virtual meetings and code reviews fosters alignment and knowledge sharing among distributed teams.
What are popular job titles related to Gis Python Developer Remote jobs in Lancaster, PA? For Gis Python Developer Remote jobs in Lancaster, PA, the most frequently searched job titles are:
What job categories do people searching Gis Python Developer Remote jobs in Lancaster, PA look for? The top searched job categories for Gis Python Developer Remote jobs in Lancaster, PA are:
What cities near Lancaster, PA are hiring for Gis Python Developer Remote jobs? Cities near Lancaster, PA with the most Gis Python Developer Remote job openings:
Infographic showing various Gis Python Developer Remote job openings in Lancaster, PA as of May 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $118,499 per year, or $57 per hour.
Senior Cloud Data Engineer / Modern Data Stack Focus

Senior Cloud Data Engineer / Modern Data Stack Focus

WebstaurantStore

Lititz, PA • On-site, Remote

$106K - $127K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


WebstaurantStore rating

7.9

Company rating: 7.9 out of 10

Based on 62 frontline employees who took The Breakroom Quiz

93rd of 336 rated retail wholesalers


Job description

Job Summary

The Enterprise BI & Analytics Team serves as the enterprise data and analytics center of excellence at WebstaurantStore. We transform billions of data points across marketing, supply chain, operations, and customer experience into trusted data foundations and actionable insights. Leveraging a modern cloud data platform, scalable ELT architecture, and automated DataOps workflows, the team empowers smarter decisions, rapid growth, and new opportunities across the business. 

As a Senior Cloud Data Engineer, you will architect and own the next generation of our modern data ingestion and integration ecosystem. You will lead the development of a unified ingestion framework into Snowflake—building scalable, automated, and high-throughput data pipelines that power analytics and data products enterprise-wide. You will play a key role in our data warehouse modernization initiative, guide our transition from SQL Server to Snowflake, mentor engineers, and help define the future state of our cloud data architecture. 

Responsibilities

Senior Cloud Data Engineers are hands-on technical leaders and trusted partners to BI developers, analytics engineers, and cross-functional teams. You will drive innovation across our ingestion layer and enable scalable, reliable, and governed data movement throughout the enterprise. 

Core Responsibilities 

Modern Data Engineering & ELT Architecture 

  • Lead the design and implementation of a standardized ELT-based ingestion framework into Snowflake. 
  • Design scalable ingestion pipelines for structured and semi-structured data from APIs, databases, cloud storage, flat files, and collaboration platforms. 
  • Build and maintain Fabric Pipelines to support cloud-native orchestration and pipeline automation. 
  • Develop reusable Python libraries and ingestion accelerators to standardize engineering practices. 
  • Implement robust monitoring, logging, and data reliability engineering practices to ensure SLA adherence. 
  • Refactor and optimize legacy ingestion processes to align with modern data stack best practices. 
  • Drive and support the migration from SQL Server to Snowflake. 

Technical Leadership 

  • Act as the lead architect for enterprise ingestion strategy, mentoring engineers and guiding technical design decisions. 
  • Champion best practices in CI/CD, version control, automated testing, and infrastructure-as-code principles within the data engineering function. 
  • Perform code reviews and enforce architectural standards. 
  • Partner with BI leadership to plan capacity, prioritize initiatives, and execute delivery roadmaps. 
  • Foster a culture of engineering ownership, accountability, and innovation. 

Strategy & Execution 

  • Collaborate with business and analytics stakeholders to translate requirements into scalable ingestion designs. 
  • Evaluate emerging tools and technologies within the modern data stack ecosystem. 
  • Contribute to long-term cloud data strategy and architectural evolution. 
  • Ensure enterprise-grade governance, security, compliance, and data quality controls. 
Physical Requirements
  • Work is performed while sitting/standing and interfacing with a personal computer.
  • Requires the ability to communicate effectively using speech, vision, and hearing.
  • Requires the regular use of hands for simple grasping and fine manipulations.
  • Requires occasional bending, squatting, crawling, climbing, and reaching.
  • Requires the ability to occasionally lift, carry, push, or pull medium weights, up to 50lbs.
Remote Work Qualifications
  • Access to a reliable and secure high-speed internet connection. Cable or fiber internet connections (at least 75mbps download/10mbps upload) are preferred, as satellite connections often cannot support the technologies used to perform day-to-day tasks.
  • Access to a home router and modem.
  • A dedicated home office space that is noise- and distraction-free. The space should have strong wireless connection or a wired Ethernet connection (wired connection is preferred, if possible).
  • A valid, physical address (apartment, suite, etc.). PO Boxes are not supported, as a physical address is required for you to receive your computer equipment.
  • The desire and ability to work and communicate with other team members via chat, webcam, etc.
  • Legal residents of one of the following states: (AK, AL, AR, AZ, CT, DE, FL, GA, IA, ID, IN, KS, KY, LA, MD, ME, MI, MN, MO, MS, MT, NC, ND, NE, NH, NM, NV, OH, OK, PA, SC, SD, TN, TX, UT, VA, VT, WI, WV, or WY). H-1B Visa Sponsorship Not Available, W2 only.
Experience
  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or related discipline; or equivalent experience. 
  • 7–10 years of experience in data engineering or cloud data development roles. 
  • 5+ years of hands-on Snowflake experience, including ingestion architecture, performance optimization, and workload management. 
  • 4–6 years building pipelines using Microsoft Fabric Pipelines or comparable orchestration frameworks. 
  • 4–6 years of Python development for data automation and pipeline engineering. 
  • 5+ years of advanced SQL experience, including deep expertise in SQL Server and CDC methodologies. 
  • 5+ years operating in Agile/Scrum delivery environments. 
  • 3+ years in a technical leadership capacity within data engineering initiatives. 
  • Experience with event-based ingestion, streaming pipelines, or data contract–driven architectures. 
  • Experience with Qlik Replicate and dbt Cloud. 
  • Microsoft Azure experience. 
  • Relevant cloud or data platform certifications preferred. 
Education

This role does not require a degree. We value relevant skills and experience and alignment with our core values above all else.

Desired Traits & Skills
  • Expertise in cloud data warehouse architecture and scalable ELT frameworks. 
  • Strong command of Snowflake internals, optimization strategies, and ingestion design patterns. 
  • Advanced Python and SQL proficiency. 
  • Experience implementing data observability and pipeline reliability solutions. 
  • Deep understanding of dimensional modeling and enterprise data warehousing concepts. 
  • Proven ability to lead complex modernization initiatives. 
  • Strong stakeholder engagement and technical communication skills. 
  • Ability to thrive in a fast-paced, growth-oriented environment. 
  • Passion for building reliable, scalable, and future-ready data platforms. 
Company Overview

The foodservice professional’s premier source for restaurant equipment, supplies, and knowledge online. Our purpose is to empower and equip people to run their businesses more profitably and efficiently.

Benefits
  • Medical
  • Vision
  • Dental
  • PTO
  • Paid Maternity Leave
  • Paid Parental Leave
  • Life Insurance
  • Disability
  • Dependent Care FSA
  • 401(k) matching
  • Employee Assistance Program
  • Wellness Incentives
  • Company Discounts
  • AT&T & Verizon Discount
  • Bonus Opportunities
  • Accident Insurance
  • Critical Illness Insurance
  • Adoption Assistance
Available at HQ Locations Only
  • On-Site Fitness Centers
  • Dog-friendly Offices

What WebstaurantStore employees say

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Benefits

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