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Live In Data Platform Engineer Jobs in Pennsylvania

Data & AI Platform Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

This means it's possible to pursue challenges you are passionate about, in industries you care ... Minimum 2 years in a data engineering, platform engineering, analytics engineering, or cloud ...

Data Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

Minimum Years of Experience * 3 years of experience in data engineering and/or data platform engineering (pipelines, integration, and operational support). Essential Job Expectations While the ...

We are all united in delivering the best experience for our customers. We work together each day to ... We are seeking a Data Engineer to help support large-scale enterprise big data platforms. This team ...

New

We are all united in delivering the best experience for our customers. We work together each day to ... We are seeking a Data Engineer to help support large-scale enterprise big data platforms. This team ...

New

The Senior Data Engineer plays a foundational role in modernizing legacy data environments and ... NETEZZA platform with CTAS, CBT, zone map and work-load management. * Provide assistance in ...

Job Title Platform Engineer/DevOps Engineer Client Confidential (Financial Services) Location Onsite in Cedar Rapids, Iowa / Denver Colorado / Philadelphia, PA (5 days onsite in a week) Type of Hire ...

Once you join our team, you'll have access to Arya , a scheduling platform where approved hours ... home care in Harrisburg, PA, we want to meet you! Help seniors live safely, comfortably, and ...

Showing results 21-40

Live In Data Platform Engineer information

What is the difference between Live In Data Platform Engineer vs Data Engineer?

AspectLive In Data Platform EngineerData Engineer
CredentialsBachelor's in CS, Data Science, or related; certifications like AWS, Azure, or GCPBachelor's in CS, IT, or related; certifications like AWS, GCP, or Hadoop
Work EnvironmentOn-site/live-in setup, often in remote or rural locations, supporting real-time data systemsOffice-based or remote, focusing on data pipeline development and management
Industry UsageUsed in industries requiring constant on-site data monitoring, such as energy or remote facilitiesCommon across tech, finance, healthcare, and other sectors for data infrastructure

The Live In Data Platform Engineer specializes in maintaining real-time data systems in on-site or remote environments, often requiring a live-in presence. In contrast, Data Engineers focus on building and managing data pipelines across various industries, typically working remotely or in-office. Both roles require similar technical skills but differ mainly in work setting and specific responsibilities.

What are the most commonly searched types of Data Platform Engineer jobs in Pennsylvania?

The most popular types of Data Platform Engineer jobs in Pennsylvania are:

What are popular job titles related to Live In Data Platform Engineer jobs in Pennsylvania?

For Live In Data Platform Engineer jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Live In Data Platform Engineer jobs in Pennsylvania look for?

The top searched job categories for Live In Data Platform Engineer jobs in Pennsylvania are:

Senior Data Platform / Analytics Engineering Focus

WebstaurantStore

Lititz, PA • On-site, Remote

$62.25 - $83.50/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago


WebstaurantStore rating

8.0

Company rating: 8.0 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

120th of 421 rated retail wholesalers


Job description

Job Summary

The Enterprise BI & Analytics Team is the central hub of analytics and data engineering 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 data stack, scalable cloud technologies, and innovative DataOps practices, the team empowers smarter decisions, rapid growth, and new opportunities across the business. 

As a Senior Data Platform Engineer, you will architect and own the next generation of our enterprise data integration and ingestion platform. You will lead the creation of a unified ingestion framework into Snowflake—building scalable, repeatable, and cloud-native, highly performant data pipeline patterns that power analytics and data products across the organization. You will guide our transition from SQL Server to Snowflake, mentor engineers, establish engineering best practices, and collaborate closely with stakeholders to deliver reliable, production-grade cloud data solutions. 

Responsibilities

Senior BI Engineers are technical leaders and trusted partners to BI developers, analysts, and cross functional teams. You will shape the future of our enterprise data platform by driving ingestion architecture, building modern pipelines, and enabling high impact engineering capabilities across the business. 

Key Areas of Ownership 

Data Platform Engineering & Cloud Architecture 

  • Lead the design, development, and implementation of a standardized cloud data ingestion framework into Snowflake. 
  • Architect scalable, secure, and reusable ingestion patterns for diverse data sources, including APIs, databases, cloud storage, flat files, and SharePoint. 
  • Build and maintain Fabric Pipelines to support enterprise-scale orchestration and workflow automation. 
  • Develop Python-based ingestion utilities, automation scripts, and reusable components. 
  • Establish best practices for ingestion performance, observability, resiliency, error handling, logging, and monitoring. 
  • Analyze existing ingestion processes and drive modernization, consolidation, and data platform optimization initiatives. 
  • Support and guide the organization through the transition from SQL Server to Snowflake. 

Leadership & Team Enablement 

  • Serve as the technical authority for data integration and ingestion architecture, providing direction, mentorship, and oversight to BI developers. 
  • Delegate work effectively and coach team members on ingestion patterns, frameworks, and best practices. 
  • Conduct code reviews, provide architectural guidance, and ensure adherence to data engineering standards and DevOps principles. 
  • Collaborate with BI Managers to align resources, timelines, and priorities. 
  • Promote a culture of knowledge sharing, continuous improvement, and engineering excellence. 

Planning, Analysis & Delivery 

  • Partner with analysts and business stakeholders to understand ingestion requirements and translate them into scalable cloud data solutions. 
  • Lead the planning, design, and analysis of ingestion workflows and data engineering projects. 
  • Evaluate new data sources and determine optimal ingestion strategies. 
  • Contribute to long-term data platform roadmap and cloud architecture strategy. 
  • Ensure solutions meet enterprise standards for data quality, governance, and security. 
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, Information Systems, Engineering, or a related field; or equivalent professional experience. 
  • 7–10 years of professional experience in data engineering. 
  • 5+ years of hands-on experience with Snowflake, including ingestion, transformation, optimization, and platform performance tuning. 
  • 4–6 years of experience building data pipelines using Microsoft Fabric Pipelines or equivalent orchestration tools. 
  • 4–6 years of professional Python experience focused on automation, ingestion utilities, and framework development. 
  • 5+ years of enterprise SQL experience, including advanced SQL Server work and hands-on Change Data Capture (CDC) implementation and support. 
  • 5+ years of experience working in Agile/Scrum environments. 
  • 3+ years of experience leading data engineering initiatives or serving as a technical lead on ingestion projects. 
  • Experience working with event-driven architecture, streaming ingestion, or data contract–based integration models. 
  • Experience using Qlik Replicate for data movement and replication. 
  • Experience using dbt Cloud for ELT transformation and orchestration. 
  • Microsoft Azure experience. 
  • Certifications in dbt Cloud, Snowflake, or Microsoft Fabric preferred but not required. 
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
  • Deep expertise in building and maintaining cloud-based data integration pipelines across diverse platforms. 
  • Strong proficiency with Snowflake architecture, Snowflake ingestion patterns, and SQL. 
  • Advanced Python skills for automation, ingestion utilities, and framework development. 
  • Hands-on experience with Microsoft Fabric Pipelines or similar orchestration tools. 
  • Strong understanding of data modeling, data warehousing, and ETL/ELT best practices. 
  • Ability to lead technical initiatives, mentor team members, and influence engineering direction. 
  • Strong analytical and problem-solving skills with the ability to design scalable solutions. 
  • Excellent communication skills, capable of translating complex technical concepts for nontechnical audiences. 
  • Ability to manage multiple priorities in a fast-paced environment. 
  • High degree of adaptability, emotional intelligence, and collaborative mindset. 
  • Customer-focused approach with a commitment to delivering high-quality solutions. 
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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