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.
Remote, Remote, United States
Live, first seen by us 31 days agoSchedule: 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 programRead the full posting
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 StatesRead the full posting
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
Applicants must be currently authorized to work in the US on a full-time basis
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
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.
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
Requirements: - Bachelors degree in a quantitative, technical, or related field - 2+ years of data modeling experience
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$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.
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.
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd 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.
- 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
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New Analytics Engineer postings at the employers we follow are down 9% over the last 5 weeks compared with the 5 before.
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.
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.
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.
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:
Requirements:
Preferred Qualifications:
Why work with us:
Check us out and learn more at: https://www.supplyhouse.com/our-company!
Additional Details:
Selected passages from the saved posting. Check the full description for conditions and exceptions.
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
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.
- 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.