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Senior Data EngineerMRCOOL LLC • Hickory, North Carolina, United States
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Senior Data Engineer

MRCOOL LLC
  • US
    Hickory, North Carolina, United States
  • US
    Hickory, North Carolina, United States
Apply Now

About

*About the Role*
MRCOOL® designs innovative, energy-efficient HVAC systems, including our DIY-friendly ductless mini splits and ducted central air solutions, built to last. As a fast-growing leader in the HVAC industry, our technology and data infrastructure are critical to scaling the business.
MRCOOL is building a new enterprise data warehouse and we are looking for a Senior Data Engineer to architect, build, and govern it. Our data is spread across more than a dozen platforms — ERP, accounting, CRM, e-commerce, EDI, support, and telephony systems — with no unified source of truth. You will own the greenfield design of a modern Snowflake-based data platform that turns that fragmented data into governed, trusted, decision-ready information.
This is a high-visibility, high-ownership role for an engineer who has done this before. You will design the warehouse, clean up and consolidate years of historical data, establish data governance and a shared business dictionary, and partner with finance and operations leaders to deliver the KPIs, dashboards, and scorecards that drive the business. You will also lay the foundation for AI-driven, natural-language access to our data.
*Job Responsibilities - Data Warehouse Architecture & Engineering*
* *Architecture: *Design and build MRCOOL's new enterprise data warehouse on Snowflake using modern ELT patterns (raw ? staging ? conformed core ? department marts). * *Pipelines: *Build and maintain reliable, scalable data pipelines and ETL/ELT processes to ingest data from NetSuite, Sage Intacct, QuickBooks, HubSpot, Magento, Zendesk, Aircall, Google Analytics/Drive, and other sources. * *EDI integration: *Integrate EDI and 3PL/trading-partner data flows (Celigo, SPS Commerce, CommerceHub, Logicbroker, qStock) into the warehouse, working with existing middleware where appropriate. * *Cost & performance: *Optimize Snowflake for performance and cost — warehouse sizing, auto-suspend, clustering, and consumption monitoring.
*Data Governance & Business Dictionary*
* *Governance: *Establish data governance practices: ownership, access controls, data quality standards, lineage, and PII handling. * *Business dictionary: *Create and maintain a business data dictionary and semantic/metrics layer so that key terms (revenue, margin, fill rate, DSO, etc.) have a single, agreed definition across the company. * *Source reconciliation: *Reconcile multiple systems of record — including three accounting systems — into a unified chart of accounts and conformed dimensions.
*Historical Data Cleanup*
* *Cleanup: *Assess, clean, de-duplicate, and consolidate years of historical data across legacy systems and spreadsheets into the warehouse. * *Quality: *Define and implement data quality rules, validation, and reconciliation processes to ensure trust in the data.
*KPIs, Dashboards & Scorecards*
* *Delivery: *Partner with finance and operations leadership to define KPIs and build governed dashboards and executive scorecards (starting with Finance as Phase 1). * *BI: *Develop reporting in the company's BI layer (e.g., Power BI / Sigma) on top of governed warehouse marts.
*AI & Modern Tooling*
* *AI enablement: *Lay the foundation for natural-language querying against the warehouse (e.g., Snowflake Cortex Analyst or equivalent), ensuring the underlying semantic model is clean and governed. * *Modern tools: *Apply the latest data engineering and AI tools to accelerate development, documentation, testing, and data quality.
*Required Qualifications*
* 10+ years of hands-on data warehouse experience, including end-to-end design and delivery. * Snowflake experience required — demonstrated production experience designing and operating Snowflake environments. * Strong EDI experience, including trading-partner / 3PL data integration. * Strong data pipeline and ETL/ELT experience building reliable, production-grade ingestion and transformation. * Proven experience with data governance, data quality, and establishing business/metric definitions or a data dictionary. * Demonstrated experience cleaning up and consolidating historical data from disparate legacy systems. * Experience building KPIs, dashboards, and scorecards in a modern BI tool (Power BI, Sigma, Tableau, or similar). * Experience with the latest data and AI tooling, including AI-assisted development and natural-language-to-SQL or LLM-based analytics. * Advanced SQL and strong data modeling skills (dimensional / conformed modeling). * Excellent communication skills and the ability to partner directly with finance and operations stakeholders.
*Preferred Qualifications*
* Experience integrating NetSuite, Sage Intacct, and/or QuickBooks data. * Experience with dbt or comparable transformation frameworks. * Experience with EL tools such as Airbyte or Fivetran. * Experience in distribution, wholesale, manufacturing, or supply-chain environments. * Familiarity with e-commerce (Magento), CRM (HubSpot), and support/telephony (Zendesk, Aircall) data. * Bachelor's degree in Computer Science, Information Systems, or a related field.
Pay: From $130,000.00 per year
Benefits: * 401(k) * 401(k) matching * Dental insurance * Health insurance * Life insurance * Paid time off * Retirement plan
Experience: * Snowflake: 5 years (Required) * Data Warehouse: 8 years (Required)
Work Location: In person
  • Hickory, North Carolina, United States

Languages

  • English
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