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Hire a Data Engineer.

Pipelines and warehouses that keep your data flowing.

Also called: Analytics Engineer, ETL Developer, Data Warehouse Engineer

From US$7.50 an hourUS$7.50-33/hr

  • SaaS & tech
  • E-commerce
  • Financial services

A free 15-minute call on Teams.

  • Works your hours
  • Colombia hub, on New York time or an hour behind
  • Month to month
What your Data Engineer gets doneSample day
  • Configures and monitors managed connectors for SaaS sourcesIngestion
  • Builds dbt models in staging, intermediate and mart layersTransformation and modeling
  • Schedules and orchestrates jobs in Airflow, Dagster or dbt CloudOrchestration and reliability
  • Manages roles, users and access in Snowflake, BigQuery or RedshiftWarehouse administrationDoing
In your tools
  • Snowflake
  • Google BigQuery
  • Databricks
  • PostgreSQL
  • Airbyte
  • Apache Airflow

Pick the level. See the price.

US$12.50an hourFull time, 38 hours a week, all-in

Level 2 of 4, also called mid-level.Recommended
Even a local mid-level admin costsUS$22.86/hr
A tested Intermediate Data EngineerUS$12.50/hr
At least 45% lessBasis: a Seat's hourly price against the hourly wage of a comparable local hire at the same level. Benefits and payroll taxes would add to the local cost.

Owns a pipeline end to end: ingests a new source and models it through to marts.

  • Source-to-mart pipeline for a new system
  • Incremental dbt models with backfill plan
  • Airflow or Dagster DAG with alerting

2-4 years building production pipelines.

How the Intermediate level works

Per hour, all-in: recruiting, testing and management.

What you hand to your Data Engineer

Tasks

  • Ingestion

    • Configures and monitors managed connectors for SaaS sources
    • Builds custom Python ingestion for APIs and files
    • Sets up change data capture from production databases
  • Transformation and modeling

    • Builds dbt models in staging, intermediate and mart layers
    • Writes dbt tests and model documentation
    • Implements dimensional models, incremental models and dbt snapshots
  • Orchestration and reliability

    • Schedules and orchestrates jobs in Airflow, Dagster or dbt Cloud
    • Sets up freshness, volume and schema-change alerts
    • Triages failed runs, runs backfills
  • Warehouse administration

    • Manages roles, users and access in Snowflake, BigQuery or Redshift
    • Applies partitioning, clustering and warehouse sizing
    • Implements masking or restricted schemas for PII
  • Engineering practice

    • Works through pull requests with code review and CI
    • Manages infrastructure as code with Terraform where used
    • Maintains architecture diagrams, runbooks and the data catalog

Tested before you meet them

  1. Written incident and PR communicationAll levels30 min
  2. Advanced SQL testAll levels60 min
  3. dbt project take-homeAll levels4 hrs
  4. Python ingestion exerciseIntermediate and up60 min
  5. Data platform design interviewExpert and Specialist60 min
  6. Trial ticketExpert and Specialist16 hrs

One score on every profileSample shown

84%

Three checks before your shortlist

  • Skills tested: A skills test for the role, marked by a senior
  • English and comms: written English tested, spoken English checked on a call
  • ID, work history and references: photo ID, past roles and two referees

From booked call to day one

  1. Step 1: Book a demo

    Tell us the role, your hours and your tools.

  2. Step 2: Meet your shortlist

    Their level and hourly price, tested before you meet.

  3. Step 3: Pick your person

    Month to month. We handle the contract, the equipment and the onboarding, and make sure it all runs.

  4. Step 4: They start work

    In your tools, within 12 to 48 hours of a successful interview.

Questions answered

An Intern Data Engineer is US$7.50 an hour, Intermediate US$12.50, Expert US$19 and Specialist US$33, full time (38 hours a week). That is all-in: recruiting, testing and management, month to month.

Ingestion, transformation and modeling, orchestration and reliability and warehouse administration, run to your priorities. You choose what they own first.

Six practical tests, marked by a senior, including written incident and PR communication, advanced SQL test and dbt project take-home. You see the score before you meet.

Tell us and we replace them free, with a new shortlist of tested people to meet. Seats are month to month with 30 days' notice.

More questions

Within 12 to 48 hours of a successful interview. First you meet your shortlist, interview the people you like and pick your person.

Yes. Your Data Engineer works your business hours in your time zone and joins your Teams or Slack like anyone else. The hub matched to United States clients is in Colombia, on New York time or an hour behind.

Yes, where it helps. Your Data Engineer works in the AI tools you already use. They use AI for first drafts and routine work, check every output, and follow your AI policy. You can ask for no AI on any task.

An Intermediate Data Engineer owns a pipeline end to end: ingests a new source and models it through to marts. An Expert Data Engineer owns reliability and cost of the data platform: sets layer standards and SLAs. We usually recommend Intermediate.

It stays under your rules: your admin settings and AI policy apply. Our talent rules ban client data in personal or free AI accounts, and passwords, card numbers, health details and ID numbers never go into any AI tool.

You direct the work day to day. We handle recruiting, equipment and quality checks.

Yes. Every Data Engineer is tested live in the tools on your job description, such as dbt Core / dbt Cloud and Snowflake, before you meet them.

In week one: warehouse user with a personal dev schema and read-only production access; viewer then editor access to the ingestion tool and the orchestrator UI; and intro calls with the BI or analyst lead and product owner. You agree the first priorities with them on day one.

Yes. It's also called Analytics Engineer, ETL Developer and Data Warehouse Engineer. Same tasks, tests and prices, whatever the name.

Their written English, with a scored test, and their spoken English, on a call with us. We also check their ID, work history and references.

Yes. You meet your shortlist on a short call and pick the person you want. Nobody joins without your yes.

In our talent hubs in the Philippines, Vietnam, Kenya, Nigeria, Brazil and Colombia, and we hire from 60+ countries. Wherever they are, they work your hours.

Pay only for the hours they work. All your Seats are on one bill, and Studio plans are billed monthly.

It can, at most once a year. Your person's hourly rate may rise by up to 5% a year, from the first anniversary of the Seat's start, with 60 days' notice and the right to end the Seat before it applies.

Only when you and your person both agree to it in advance. Otherwise they work the hours you set, and you pay for the hours they log.

You aren't charged for hours your person doesn't work, apart from paid leave. After their third month, your person earns 8 hours of paid leave a month. Paid leave hours are charged at their usual rate.

Your person logs their hours each day in the Get Hands client app, where you can see them. Your next invoice is adjusted to those hours.

Yes, with no minimum hours. From 20 to 37 hours a week, the hourly rate is 10% higher than full-time. Under 20 hours, it's 20% higher.

Yes. Tell us the roles on a call and we shortlist tested people for each.

Yes. You give them access in your own systems, and you can change or remove it at any time.

They get their own login in each of your systems, never a shared one. Any password that has to be shared goes through your own password manager, never email, chat, code or prompts.

A tested shortlist within 72 hours of your call, or your first week is free. That's part of The Right Hands Guarantee.

Yes. Book a 15-minute demo any time, or choose Talk now on the booking form for a Microsoft Teams link straight away. You can also message us on WhatsApp on +61 485 061 086, or email hello@gethands.com.au.

Book a 15-minute demo on Microsoft Teams, any time, day or night. We show you the people, levels and prices that fit. No obligation.

Meet the people who fit your work.

A 15‑minute call on Teams. You leave knowing the level you need and its hourly price.

Talk now is live on Teams, any time.