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Analytics Engineer

Remote, Remote, United States

Live, first seen by us 31 days ago
Pay
Multiple pay statements — pay source
Schedule: Monday through Friday, 8:00 a.m. to 5:00 p.m. with time zone flexibility Base Salary: 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. This range reflects the long-term earning potential for the role. 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. Responsibilities:
$750 annual professional development budget $25 monthly Grubhub credit Company rewards and recognition program
Read the full posting
Work setting
Remote — work setting source
Role Type: Full-Time, Exempt Location: Remote Schedule: Monday through Friday, 8:00 a.m. to 5:00 p.m. with time zone flexibility
Listed location: Remote, Remote, United States
Read the full posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

Before you apply

Work authorization
Must already have the right to work in the USApplicants must be currently authorized to work in the US on a full-time basis

What you’ll work on

Full posting
  • Design and build layered, version-controlled data models in BigQuery using Dataform

  • Move ad hoc scheduled query logic into governed, reusable, tested models

  • Define and own canonical definitions of core business metrics

  • Implement automated data testing and CI so data quality is enforced

  • Document models, definitions, and data lineage

From the employer’s posting
Design and build a layered, version-controlled data model in BigQuery using a modern transformation framework (Dataform).
Migrate business logic out of hundreds of ad hoc scheduled queries into governed, reusable, tested models.
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.

What you’ll bring

All qualifications

Core experience

  • 2+ years of data modeling experience
  • Strong SQL skills and hands-on experience building production-ready data models within a cloud data warehouse
  • Hands-on experience using a data transformation framework, such as dbt, Dataform, or a comparable tool

Preferred experience

  • Experience working with Google BigQuery as a cloud data warehouse
  • Familiarity with Google Cloud tooling and Dataform specifically
  • 401(k) with up to 4% company match
  • Experience using Google Cloud Dataform to build and manage data transformations
Qualification wording
2+ years of data modeling experience
Strong SQL skills and hands-on experience building production-ready data models within a cloud data warehouse
Hands-on experience using a data transformation framework, such as dbt, Dataform, or a comparable tool
Experience working with Google BigQuery as a cloud data warehouse
Familiarity with Google Cloud tooling and Dataform specifically
401(k) with up to 4% company match
Experience using Google Cloud Dataform to build and manage data transformations
Education & alternatives
Requirements: - Bachelors degree in a quantitative, technical, or related field - 2+ years of data modeling experience
Apply at SupplyHouse.com

Posting record

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Status in our records
Live
First seen by us
Oct 5, 202631 days ago
Recorded sightings
18
Last seen by us
Nov 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$122K–$190K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 321 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 31

Similar jobs usually come down between day 6 and day 48.

From 1,457 similar postings that came down. Coming down is not always a hire.

SupplyHouse.com is hiring

2 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • SQL
  • BigQuery
  • dbt
  • Power BI
  • GCP
Where the posting names them
- 2+ years of data modeling experience - Strong SQL skills and hands-on experience building production-ready data models within a cloud data warehouse - Hands-on experience using a data transformation framework, such as dbt, Dataform, or a comparable tool
At SupplyHouse.com, we value every individual team member and cultivate a community where people come first. Led by our core values of Generosity, Respect, Innovation, Teamwork, and GRIT, we’re dedicated to maintaining a supportive work environment that celebrates diversity and empowers everyone to reach their full potential. 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. 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! This remote position is open to individuals who live in, or are open to relocating to, the following states: Arizona, Delaware, Florida, Georgia, Kentucky, Nevada, New Jersey, New York, North Carolina, Ohio, Rhode Island, South Carolina, Tennessee, Texas, Virginia, and Washington.
Responsibilities: - Design and build a layered, version-controlled data model in BigQuery using a modern transformation framework (Dataform). - Migrate business logic out of hundreds of ad hoc scheduled queries into governed, reusable, tested models.
Preferred Qualifications: - Experience working with Google BigQuery as a cloud data warehouse - Experience using Google Cloud Dataform to build and manage data transformations
- Strong SQL skills and hands-on experience building production-ready data models within a cloud data warehouse - Hands-on experience using a data transformation framework, such as dbt, Dataform, or a comparable tool - Software engineering fundamentals applied to analytics: version control (Git), testing, code review, and CI
- Partner with IT to support accurate and timely raw data ingestion from the IT side. - Help evaluate and shape the go-forward BI layer, given that the current Power BI setup is open to reconsideration. Requirements:
- Experience working with Google BigQuery as a cloud data warehouse - Experience using Google Cloud Dataform to build and manage data transformations - Direct experience standing up a data model or semantic layer from scratch
- 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

Your next step

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Demand for Analytics Engineer roles

New Analytics Engineer postings at the employers we follow are down 9% over the last 5 weeks compared with the 5 before.

Weekly new Analytics Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 96, the most 173, and the latest week had 96.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Analytics Engineer, by the work the posting describes.

Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.

Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.

A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Real people. Real service.

At SupplyHouse.com, we value every individual team member and cultivate a community where people come first. Led by our core values of Generosity, Respect, Innovation, Teamwork, and GRIT, we’re dedicated to maintaining a supportive work environment that celebrates diversity and empowers everyone to reach their full potential. 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. 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!

This remote position is open to individuals who live in, or are open to relocating to, the following states: Arizona, Delaware, Florida, Georgia, Kentucky, Nevada, New Jersey, New York, North Carolina, Ohio, Rhode Island, South Carolina, Tennessee, Texas, Virginia, and Washington.

This position requires travel to our headquarters in Melville, NY 6 times per year for internal meetings and team building activities. 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.

Role Type: Full-Time, Exempt

Location: Remote 

Schedule: Monday through Friday, 8:00 a.m. to 5:00 p.m. with time zone flexibility 

Base Salary: 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. This range reflects the long-term earning potential for the role. 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.

Responsibilities:

  • Design and build a layered, version-controlled data model in BigQuery using a modern transformation framework (Dataform).
  • Migrate business logic out of hundreds of ad hoc scheduled queries into governed, reusable, tested models.
  • 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.
  • Help evaluate and shape the go-forward BI layer, given that the current Power BI setup is open to reconsideration.

Requirements:

  • Bachelors degree in a quantitative, technical, or related field
  • 2+ years of data modeling experience
  • Strong SQL skills and hands-on experience building production-ready data models within a cloud data warehouse
  • Hands-on experience using a data transformation framework, such as dbt, Dataform, or a comparable tool
  • Software engineering fundamentals applied to analytics: version control (Git), testing, code review, and CI
  • Layered or dimensional data modeling experience, with a track record of maintainable, well-documented datasets

Preferred Qualifications:

  • Experience working with Google BigQuery as a cloud data warehouse
  • Experience using Google Cloud Dataform to build and manage data transformations
  • 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

Why work with us:

  • We have awesome benefits – We offer a wide variety of benefits to help support you and your loved ones. These include:
    • Comprehensive and affordable medical, dental, vision, and voluntary life insurance options
    • 401(k) with up to 4% company match
    • Paid vacation, sick time, and holidays
    • Company-paid basic life insurance and long-term disability
    • Discounted auto, home, and pet insurance programs
    • Flexible Spending Account (FSA)
    • Confidential mental health, financial planning, and legal support through our Employee Assistance Program (EAP)
    • Company-provided equipment and one-time $250 work from home stipend
    • $750 annual professional development budget
    • $25 monthly Grubhub credit
    • Company rewards and recognition program
    • And more!
  • We empower ownership – We all contribute to our success and we all share in it. Our Ownership for All program ensures each SupplyHouse team member will benefit financially from the company’s growth and accomplishments.
  • We promote work-life balance – We value your time and encourage a healthy separation between your professional and personal life to feel refreshed and recharged. Look out for our wellness initiatives and ask about our Flex-Time Policy!
  • We support growth – We encourage you to embrace continuous learning and take on new challenges. In an exciting and evolving industry, we provide opportunities for career growth through our annual merit and bonus opportunities, hands-on training, diversity and inclusion initiatives, internal mobility options, and professional development budget.
  • We give back – We live and breathe our core value, Generosity, by giving back to the trades and organizations around the world. We make a difference through donation drives, employee-nominated contributions, support for non-profit organizations, Volunteer Paid Time Off, and more.
  • We listen – We value hearing from our employees. Everyone has a voice, and we encourage you to use it! We actively elicit feedback through our monthly town halls, regular 1:1 check-ins, employee listening initiatives, and company-wide ideas form to incorporate suggestions and ensure our team enjoys coming to work every day.

Check us out and learn more at: https://www.supplyhouse.com/our-company!

Additional Details: 

  • Remote employees are expected to work in a distraction-free environment. Personal devices, background noise, and other distractions should be kept to a minimum to avoid disrupting virtual meetings or business operations.
  • Applicants must be currently authorized to work in the U.S. on a full-time basis. SupplyHouse.com will not sponsor applicants for work visas.
  • SupplyHouse.com is an Equal Opportunity Employer. We welcome and encourage individuals of all backgrounds, experiences, and perspectives to apply. Employment decisions are based on qualifications, merit, and business needs.
  • To ensure fairness and trust in our hiring process, we ask that all application materials, assessments, and interview responses reflect your own thinking and perspective. You may use AI tools to assist in preparing your responses, as long as this use is clearly disclosed and you can speak authentically to your ideas and work. Our focus is on honesty, judgment, and how you approach problem-solving. We appreciate your transparency and look forward to learning more about your skills.
  • We are committed to providing a safe and secure work environment and conduct thorough background checks on all potential employees in accordance with applicable laws and regulations.
  • All emails from the SupplyHouse team will only be sent from an @supplyhouse.com email address. Please exercise caution if you receive an email from an alternate domain.
Source details

View original posting ↗

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Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay
Schedule: Monday through Friday, 8:00 a.m. to 5:00 p.m. with time zone flexibility Base Salary: 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. This range reflects the long-term earning potential for the role. 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. Responsibilities:
More source context
$750 annual professional development budget $25 monthly Grubhub credit Company rewards and recognition program
Location & working pattern

Remote, Remote, United States

Additional Details: - Remote employees are expected to work in a distraction-free environment. Personal devices, background noise, and other distractions should be kept to a minimum to avoid disrupting virtual meetings or business operations. - Applicants must be currently authorized to work in the U.S. on a full-time basis. SupplyHouse.com will not sponsor applicants for work visas.

More relevant text appears in the full description.

Work authorization
- Remote employees are expected to work in a distraction-free environment. Personal devices, background noise, and other distractions should be kept to a minimum to avoid disrupting virtual meetings or business operations. - Applicants must be currently authorized to work in the U.S. on a full-time basis. SupplyHouse.com will not sponsor applicants for work visas. - SupplyHouse.com is an Equal Opportunity Employer. We welcome and encourage individuals of all backgrounds, experiences, and perspectives to apply. Employment decisions are based on qualifications, merit, and business needs.

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