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Hire dbt Developers for Tested, Documented Data Models
Pre-vetted analytics engineers for dbt Core and dbt Cloud on Snowflake, Databricks, Fabric, BigQuery and Redshift, ready to join your team within 48 hours.
Stack we work in
dbt Core- dbt Cloud
- Jinja
- Python
- Snowflake
- Databricks
Microsoft Fabric- PostgreSQL
- Projects delivered
- 680+
- Clients served
- 310+
- Client retention
- 98%
- Certified engineers
- 20+
- Building since
- 2018
Figures as of Oct 2026
Trusted by
- Aralia
- Rosa Pistrina
- Lashbo
- Micromunchi
- Payroll Ninja
- POD
- Petdx
- Yokey
- Spin Up
- Starwear
- Udlins
- Vegpal
- Wander Wings
- Wish It
- Wisl
Why teams hire dbt developers from us
Our dbt developers turn raw warehouse tables into tested, documented models your analysts and dashboards can rely on.
Read the full overview
They write SQL and Jinja, set up tests, docs and CI, and define shared metrics in the dbt Semantic Layer. They work in your repositories, warehouse and time zone, and you start with a 15-day free trial.
Analytics engineers are hard to hire
People who know dbt, SQL and data modeling well are in demand, and a permanent hire can take months.
A dbt project that grew without a plan
Hundreds of models, few tests and slow runs make every change risky and every number questionable.
Different numbers in different dashboards
Revenue, churn and active users are defined in several places, so teams argue about figures instead of acting on them.
Logic stuck in stored procedures
Business rules sit in scripts nobody wants to touch, with no tests, version control or documentation.
Outcomes
What you get
- dbt developers contributing to your project within days, not months
- Tested, documented models your analysts can trust
- One shared definition for each business metric
- A team you scale up or down as your roadmap changes
- Code, models and data that you own, with no lock-in
Roles, projects and skills
dbt developer roles you can hire
Pick one profile or combine several. Each developer works in your tools, repositories and process.
Analytics engineer
Builds tested, documented models analysts use every day.
- dbt models, tests and docs
- Dimensional modeling
- Incremental models
- Source freshness checks
Semantic Layer developer
Defines business metrics once so every tool reports the same figure.
- dbt Semantic Layer
- MetricFlow metrics
- BI tool integrations
- Metric documentation
dbt platform engineer
Keeps dbt runs fast, safe and automated.
- Slim CI and pull request checks
- Airflow or Dagster orchestration
- dbt Mesh projects
- SQLFluff and pre-commit
Data quality engineer
Catches bad data before it reaches a dashboard.
- dbt unit and data tests
- Model contracts
- Elementary monitoring
- Alerts and run reports
Migration developer
Moves existing SQL logic into dbt without breaking reports.
- Stored procedure rewrites
- Output reconciliation
- Staged cutovers
- Warehouse moves
What our dbt developers work on
New dbt project
Project structure, naming rules, tests, docs and CI set up from the start on your warehouse.
Cleaning up an existing project
Reorganizing models into layers, removing dead code and speeding up slow runs.
Shared metrics
Business metrics defined once in the dbt Semantic Layer and used across BI tools.
Moving logic out of stored procedures
SQL scripts and procedures rewritten as tested dbt models, with reconciled outputs.
Data quality and observability
Tests, freshness checks, contracts and Elementary alerts on the models that matter most.
Splitting a large project
dbt Mesh projects with clear ownership for each team.
Modeling
Shaping raw data into tables people can use.
- Staging, intermediate and mart models
- Dimensional models and incremental models
- Snapshots for slowly changing data
- SQL and Jinja macros
Built with
- SQL
- Jinja
Testing and documentation
Making every model trustworthy and easy to find.
- Generic, singular and unit tests
- Source freshness checks
- dbt docs and column descriptions
- Elementary for data observability
Built with
- dbt docs
- Elementary
Metrics and structure
One definition of each number across the business.
- dbt Semantic Layer and MetricFlow
- dbt Mesh and cross-project references
- Model contracts and versions
- Exposures for dashboards and apps
Built with
- dbt Semantic Layer
- MetricFlow
- dbt Mesh
CI and operations
Running dbt safely on every change.
- Git pull requests with CI runs
- Slim CI and state-based selection
- SQLFluff linting
- Airflow, Dagster or dbt Cloud jobs
Built with
- dbt Cloud
- SQLFluff
- Dagster
- Git
Recent work from our team
How hiring works
Tech consulting
We review your requirements, platform and goals, and recommend the dbt developer roles and seniority your project needs.
You receive Role and skills plan
Shortlisting
We shortlist pre-vetted dbt developers who passed our technical evaluation, communication check and team-fit review, and who match your stack and time zone.
You receive Developer profiles
Your interviews
You interview the shortlisted developers and choose. Nothing starts until you are happy.
You receive Your chosen developers
Onboarding and free trial
Your developers join your tools, repositories and ceremonies within 48 hours of selection. The first 15 days are a free trial.
You receive Developers working in your workflow
Delivery and reporting
The team delivers in agile sprints with daily progress reports, and you scale the team up or down as needs change.
You receive Daily reports and sprint releases
Tech stack
Technologies we use
Data platforms
- Snowflake
- Databricks
- Microsoft Fabric
- Google BigQuery
- Amazon Redshift
Pipelines and orchestration
- dbt Core
- dbt Cloud
- dbt Semantic Layer
- dbt Mesh
- dbt tests
- dbt docs
- Apache Airflow
- Dagster
- Fivetran
- Airbyte
Databases
BI and analytics
Power BI- Looker
- Tableau
Languages
Cloud and DevOps
- GitHub Actions
- GitLab CI
Azure DevOps
Other tools
Hiring models
Choose how you hire
Pick the commitment that fits your roadmap and change it as your needs change. Every model works in your time zone, with clear pricing agreed after a call and no hidden costs.
Full-time dedicated developer
A dbt developer who works only on your project, full working days, as part of your team. Billed monthly, with a 15-day free trial.
Part-time developer
Half-day availability for steady dbt work that does not need a full seat. Billed monthly, and you can move to full-time at any time.
Hourly
Pay for the hours used, for fixes, audits, small enhancements and short spikes of work. Hours are reported daily, with no long-term commitment.
Project-based engagement
A fixed scope, timeline and price, delivered by a team we manage end to end, with milestone payments.
Dedicated team
A cross-functional squad of developers, QA, a designer and a project manager or scrum master, sized to your roadmap, with one point of contact.
More roles
Need other skills on the same team?
Hire data, AI, web and mobile developers alongside your dbt developers, or build a dedicated team around your roadmap.
Free trial
Try first, decide later with a 15-day free trial
Interview the shortlisted developers, then judge the work in your real project for 15 days before you commit.
Questions, answered
It depends on the seniority, the platforms involved and the hiring model: full-time, part-time, hourly or project-based. After a short call we share profiles and a clear monthly or hourly rate, with no hidden costs, and the first 15 days are a free trial. As a guide, our data and MLOps engineers range from $30 to $70 per hour (USD), depending on seniority and certifications, and full-time monthly engagements cost less per hour than hourly work. We confirm your exact rate after a short call.
It depends on the role, seniority and hiring model. Full-time and part-time developers are billed monthly, hourly work is billed for the hours used, and project-based work is paid in milestones. After a short call we share developer profiles and a clear monthly or hourly rate, with no hidden costs.
Pre-vetted developers can join your team within 48 hours of you selecting them.
Yes. We align developers to your preferred time zone and working hours so you can collaborate in real time.
The first 15 days are free. Use them to assess the developer's skills, code quality, communication, delivery and fit with your process. If you are satisfied, you continue; if not, you can stop with no obligation.
We sign an NDA, use data encryption, secure storage and regular security audits, and follow GDPR requirements. Equitysoft is ISO 27001 certified. You own all code, data and IP, with no lock-in.
Tell us and we will replace them quickly, so your project stays on track.
You set the priorities and direct the work, just as you would with your own staff. You get daily progress reports and talk to the developer through your usual email, video, chat and project tools. We take care of employment, equipment, attendance, performance support and replacements.
Each candidate passes a technical evaluation with practical tasks and code review on the stack you need, such as SQL, dbt models and tests, Jinja macros and your warehouse, not just a CV. We also check spoken and written English, how clearly they explain technical decisions, and their experience with agile ceremonies, code review and documentation. You then interview the shortlist and choose.
Both. They can run dbt Core from Airflow, Dagster or CI, or use dbt Cloud jobs, the IDE and the Semantic Layer. They fit the setup you already have.
Yes. They start by reviewing the DAG, slow models and failing tests, document what they find, then reorganize models into clear layers and add tests and CI as they go.
Yes. They rewrite the logic as dbt models in stages and compare the outputs with your current tables before each part switches over.
Tell us about the dbt developer you need
Share your warehouse, models and timeline. We will propose pre-vetted dbt developers you can start trialing within 48 hours.