Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,239 postings in the last year. Stated ranges, not salaries paid.
Data Engineer
Alpharetta, GA, Remote (United States)
Actively hiring, first seen by us 6 hours ago- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
Remote — work setting source
Listed location: Alpharetta, GA, Remote (United States)
Work setup in the employer’s posting: Remote
From the employer’s posting- Employment
Employment terms need review — employment source
This role sits at the center of how the business runs, so responsiveness and clear communication matter as much as technical skill. We are explicit about what that means: Dedicated role. This is a full-time position with Curve Dental as your sole employer; no concurrent client or consulting work. Core hours. Available 10:00 a.m.–4:00 p.m. Eastern, Monday through Friday, regardless of your home time zone.
Employment type in the employer’s posting: SALARIED_FT
From the employer’s posting
What you’ll work on
Full postingDesign and deliver a unified customer model in Snowflake that ties together contracts, billing, payments, product usage, support, and sales activity.
Own data models and metric definitions so finance and operating reports tie out
From the employer’s posting
What you'll do in year one Build Customer360. Design and deliver a unified customer model in Snowflake that ties together contracts, billing, payments, product usage, support, and sales activity. Every team should be able to answer "what is happening with this practice?" from one source. Harden the warehouse.
Modernize ingestion and stand up a transformation layer, then make the pipeline reliable: automated testing, alerting, and documented recovery when a load fails Own data models and metric definitions so finance and operating reports tie out Manage Snowflake performance and credit spend; report usage and cost monthly
What you’ll bring
All qualificationsCore experience
- 3–6 years in data engineering, with at least 2 years running production workloads on Snowflake
- Experience as the first or only data engineer at a growing company
- Strong knowledge and skills in SQL and Python
- Hands-on experience with a modern transformation framework such as dbt: modeling, testing, documentation
- Experience with managed ELT tools (such as Fivetran or Airbyte), including migrating pipelines between tools
Qualification wording
3–6 years in data engineering, with at least 2 years running production workloads on Snowflake
Experience as the first or only data engineer at a growing company
Strong knowledge and skills in SQL and Python
Hands-on experience with a modern transformation framework such as dbt: modeling, testing, documentation
Experience with managed ELT tools (such as Fivetran or Airbyte), including migrating pipelines between tools
Benefits in the posting
Full benefits wording- We offer a competitive base salary and annual bonus, benchmarked to the market for this role and level. Benefits include health, dental, and vision coverage, a 401(k), paid time off, and a home-office setup for remote work.
From the employer’s posting.
About Curve Dental
Curve Dental builds cloud-based practice management software for dental offices.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 12, 2026today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 6 and day 55.
From 13,214 similar postings that came down. Coming down is not always a hire.
Curve Dental is hiring
1 open job
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee 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.
- Python
- SQL
- Airbyte
- dbt
- Fivetran
- Snowflake
- Tableau
Where the posting names them
- 3–6 years in data engineering, with at least 2 years running production workloads on Snowflake - Strong knowledge and skills in SQL and Python - Hands-on experience with a modern transformation framework such as dbt: modeling, testing, documentation
- Hands-on experience with a modern transformation framework such as dbt: modeling, testing, documentation - Experience with managed ELT tools (such as Fivetran or Airbyte), including migrating pipelines between tools - A track record of building dimensional or entity models that business users trust
- Strong knowledge and skills in SQL and Python - Hands-on experience with a modern transformation framework such as dbt: modeling, testing, documentation - Experience with managed ELT tools (such as Fivetran or Airbyte), including migrating pipelines between tools
We are looking for a full-time Data Engineer to own the data platforms that finance, sales, and customer success run the business on. This position will report directly to the CFO and work closely with leaders across the company. Snowflake is our warehouse and Tableau our reporting layer. We are modernizing how data gets in and how it is transformed, and you will help lead that work. Your job is to make the platform reliable, extend it to every core system, and deliver a single trusted view of each customer. Occasional travel may be required to one of our Corporate office locations (Georgia and Utah)
What you'll do in year one Build Customer360. Design and deliver a unified customer model in Snowflake that ties together contracts, billing, payments, product usage, support, and sales activity. Every team should be able to answer "what is happening with this practice?" from one source. Harden the warehouse.
- Own data models and metric definitions so finance and operating reports tie out - Manage Snowflake performance and credit spend; report usage and cost monthly - Set up access controls, environments (dev/prod), and version control practices
- Set up access controls, environments (dev/prod), and version control practices Integrate core source systems. Bring and maintain, modeled data from Salesforce, Maxio, Stripe, Gong, and NetSuite into Snowflake, and resolve customer identity across them. Support reporting. Partner with finance and RevOps to ensure dashboards and board metrics run on governed, tested data.
Required - 3–6 years in data engineering, with at least 2 years running production workloads on Snowflake - Strong knowledge and skills in SQL and Python
- Salesforce data model experience; exposure to Maxio, Stripe, or NetSuite data - Snowflake cost management (warehouses, resource monitors, query tuning) - SnowPro certification
Your next step
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Already applied? Track this application
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 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 Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
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 data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
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
About Curve Dental:
Curve Dental builds cloud-based practice management software for dental offices. More than 8,000 practices across North America run on our three brands — Curve, Flex Dental, and DentalHQ — along with our embedded payments products, Curve Pay and Flex Payments.
The role
We are looking for a full-time Data Engineer to own the data platforms that finance, sales, and customer success run the business on. This position will report directly to the CFO and work closely with leaders across the company.
Snowflake is our warehouse and Tableau our reporting layer. We are modernizing how data gets in and how it is transformed, and you will help lead that work. Your job is to make the platform reliable, extend it to every core system, and deliver a single trusted view of each customer.
Occasional travel may be required to one of our Corporate office locations (Georgia and Utah)
What you'll do in year one
Build Customer360. Design and deliver a unified customer model in Snowflake that ties together contracts, billing, payments, product usage, support, and sales activity. Every team should be able to answer "what is happening with this practice?" from one source.
Harden the warehouse.
- Modernize ingestion and stand up a transformation layer, then make the pipeline reliable: automated testing, alerting, and documented recovery when a load fails
- Own data models and metric definitions so finance and operating reports tie out
- Manage Snowflake performance and credit spend; report usage and cost monthly
- Set up access controls, environments (dev/prod), and version control practices
Integrate core source systems. Bring and maintain, modeled data from Salesforce, Maxio, Stripe, Gong, and NetSuite into Snowflake, and resolve customer identity across them.
Support reporting. Partner with finance and RevOps to ensure dashboards and board metrics run on governed, tested data.
What you bring
Required
- 3–6 years in data engineering, with at least 2 years running production workloads on Snowflake
- Strong knowledge and skills in SQL and Python
- Hands-on experience with a modern transformation framework such as dbt: modeling, testing, documentation
- Experience with managed ELT tools (such as Fivetran or Airbyte), including migrating pipelines between tools
- A track record of building dimensional or entity models that business users trust
- Comfortable working directly with non-technical stakeholders and translating business questions into data design
Nice to have
- SaaS data: subscriptions, billing, ARR, churn
- Salesforce data model experience; exposure to Maxio, Stripe, or NetSuite data
- Snowflake cost management (warehouses, resource monitors, query tuning)
- SnowPro certification
- Experience as the first or only data engineer at a growing company
How we work
This role sits at the center of how the business runs, so responsiveness and clear communication matter as much as technical skill. We are explicit about what that means:
- Dedicated role. This is a full-time position with Curve Dental as your sole employer; no concurrent client or consulting work.
- Core hours. Available 10:00 a.m.–4:00 p.m. Eastern, Monday through Friday, regardless of your home time zone.
- Response times. Be a responsive, reliable partner to Sales, Account Management, and Finance: acknowledge requests promptly, follow up the same day, and treat production issues as a top priority.
- Visible work. All work lives in a shared backlog with status kept current. Changes go through version control and code review.
- Weekly cadence. A 30-minute priorities meeting with the CFO each week, plus a short written status update.
- Written first. Document and explain the logic behind every model and report you build: the assumptions, data sources, definitions, and calculations, so others can understand, trust, and maintain it
- Raise issues early. If a deadline is at risk or a request is unclear, say so the same day rather than at the deadline.
Compensation and benefits
We offer a competitive base salary and annual bonus, benchmarked to the market for this role and level. Benefits include health, dental, and vision coverage, a 401(k), paid time off, and a home-office setup for remote work.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Alpharetta, GA, Remote (United States)
Compensation and benefits We offer a competitive base salary and annual bonus, benchmarked to the market for this role and level. Benefits include health, dental, and vision coverage, a 401(k), paid time off, and a home-office setup for remote work.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.