Supplyhouse

Supplyhouse

Analytics Engineer

Remote, Remote, United States · Mid · Full-time

Sponsorship not specified$72k-$91kDetected 2 days ago
Code ReviewGitSQLBigQueryGCPCI/CDdbtData AnalysisData Visualization

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odds of building a lasting career here

37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level I)39
Fits your clock70

Thin sponsorship signal and lottery-bound (~15% per draw). A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

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About the role

  • Led by our core values of G enerosity, R espect, I nnovation, T eamwork, and GRIT, we're dedicated to maintaining a supportive work environment that celebrates diversity and empowers everyone to reach their full potential.
  • We reimburse reasonable and necessary travel expenses, and you're also welcome to work on-site anytime beyond these visits - our doors are always open.
  • This range reflects the long-term earning potential for the role.

Responsibilities

  • Design and build a layered, version-controlled data model in BigQuery using a modern transformation framework (Dataform).
  • Work with the team to define and own the canonical definitions of core business metrics.
  • Implement automated data testing and continuous integration so data quality is enforced before changes ship.
  • Document models, definitions, and data lineage so knowledge lives in the system.
  • Partner with analysts and business stakeholders to build a foundation that supports reliable self-serve reporting.
  • Partner with IT to support accurate and timely raw data ingestion from the IT side.
  • This individual will report into our Senior Manager of Data Analytics and will design and build SupplyHouse's production data layer from the ground up in BigQuery.
  • They will own the transformation layer between raw data and reporting, turning complex data into clean, tested, and well-documented datasets, standardizing core business metrics, and enabling trusted, self-service analytics across the organization.
  • If you're passionate about building reliable data foundations, enjoy partnering with engineers, analysts, and business stakeholders, and are excited to make high-quality data more accessible and actionable across an organization, we'd love to hear from you!

Requirements

  • Bachelors degree in a quantitative, technical, or related field
  • 2+ years of data modeling experience
  • Layered or dimensional data modeling experience, with a track record of maintainable, well-documented datasets

Nice to have

  • Experience working with Google BigQuery as a cloud data warehouse
  • Direct experience standing up a data model or semantic layer from scratch
  • Familiarity with Google Cloud tooling and Dataform specifically
  • Exposure to distribution, e-commerce, HVAC, or plumbing data domains
  • 401(k) with up to 4% company match
  • Discounted auto, home, and pet insurance programs
  • Why work with us:
  • $25 monthly Grubhub credit

Compensation

  • The expected starting salary for the position is $ 72,440 to $ 90,550 within a full position range of $72,440 to $ 108,660 annually.
  • Our starting pay practice is the minimum to middle portion of the range, depending on experience, qualifications, and internal equity, consistent with applicable law and it is rare for a new hire to start above the midpoint.

Company info

  • At SupplyHouse.com, we value every individual team member and cultivate a community where people come first.
  • As an industry-leading e-commerce company specializing in HVAC, plumbing, heating, and electrical supplies since 2004, we strive to foster growth while providing the best possible experience for our customers.
  • We are looking for an Analytics Engineer to join our Finance team.
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This listing is sourced directly from Supplyhouse's careers page and normalized into a canonical job model.