Senior BI Engineer, Data

WebstaurantStore; Lititz (Lancaster County); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Medical

Vision

Dental

PTO

401(k) matching

Bonus Opportunities

Job summary

WebstaurantStore’s Enterprise BI & Analytics Team is driving the next generation of our data ingestion ecosystem. You will architect a unified ingestion framework into Snowflake and mentor engineers as you guide the transition from SQL Server to Snowflake at scale.

You will design secure, reusable ingestion patterns across APIs, databases, and file sources, while delivering enterprise-grade data solutions and high-performance data products for analytics and growth.

Qualifications

• Bachelor’s degree in CS, IS, Engineering, or related field or equivalent professional experience.
• 7–10 years of professional data engineering experience.
• 5+ years hands-on Snowflake experience (ingestion, transformation, optimization, performance).
• 4–6 years building data pipelines with Microsoft Fabric Pipelines or similar tools.
• 4–6 years of Python for automation and framework development.
• 5+ years enterprise SQL experience including CDC on SQL Server.

Responsibilities

• Lead design and implementation of a standardized data ingestion framework into Snowflake.
• Architect scalable, secure ingestion patterns from APIs, databases, cloud storage, files, SharePoint.
• Build and maintain Fabric Pipelines for data movement and orchestration.
• Develop Python utilities and reusable ingestion components.
• Establish best practices for ingestion performance, logging, and monitoring.
• Guide transition from SQL Server to Snowflake and modernize ingestion processes.
• Lead technical ingestion initiatives and mentor BI developers.
• Collaborate with BI managers to align resources and timelines.

Skills

Snowflake

Python

Data pipelines

SQL Server

Azure

Fabric Pipelines

dbt Cloud

Qlik Replicate

ETL/ELT

Education

Bachelor's degree or equivalent

Tools

dbt Cloud

Qlik Replicate

Microsoft Fabric Pipelines

Job description

Job Summary

The

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 BI Engineer, you will architect and own the next generation of our enterprise data ingestion ecosystem. You will lead the creation of a unified ingestion framework into Snowflake—building scalable, repeatable, and high performance 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, enterprise grade 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 data platform by driving ingestion architecture, building modern pipelines, and enabling high impact engineering capabilities across the business.

Key areas of ownership include:

Data Engineering & Architecture

• Lead the design, development, and implementation of a standardized 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 grade data movement and orchestration.
• Develop Python based ingestion utilities, automation scripts, and reusable components.
• Establish best practices for ingestion performance, error handling, logging, and monitoring.
• Analyze existing ingestion processes and drive modernization, consolidation, and optimization efforts.
• Support and guide the organization through the transition from SQL Server to Snowflake.

Leadership & Team Enablement

• Serve as the technical lead for data ingestion initiatives, 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 engineering standards.
• 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 technical 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 architectural roadmaps and data platform strategy.
• Ensure solutions meet enterprise standards for data quality, governance, and security.
  
  

Agile / Scrum Responsibilities

• Lead or actively participate in Agile ceremonies including standups, grooming, sprint planning, and retrospectives.
• Collaborate with product owners, analysts, and developers to refine and prioritize the backlog.
• Track team progress, identify risks, and remove blockers to maintain delivery momentum.
• Communicate status, challenges, and dependencies to BI Managers and stakeholders.
  
  

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 sourcing or data contract–driven ingestion patterns.
• 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 data ingestion 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