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Hire Databricks developers who build pipelines that do not break silently

Spark jobs, Delta tables, workflows and the data your reports and models depend on. A dedicated Databricks developer from Latin America who works your hours and builds pipelines you can monitor, rerun and trust.

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Clutch: 5.0/5

Trustpilot: 4.6/5

G2: 4.9/5

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TRUSTED BY TEAMS WHOSE CLOUDTASK HIRES HAVE STAYED 5 TO 8 YEARS

How it works

How do I hire a Databricks developer?

You do one thing: interview. We handle everything else.

Post the role

5 minutes. The role, the motion, the tools, the comp band. That is all we need to start.

Review your matches

3 to 5 matches in 48 hours.

Interview and hire

We coordinate interviews. On Managed Staffing, we also handle payroll and compliance across LATAM.

How it works

WHY TEAMS TRUST CLOUDTASK

What you get with every hire

Dedicated to your codebase

One Databricks developer who learns your code, your conventions and your roadmap. Not a freelancer who closes a ticket and moves on.

Same hours as your team

Latin America and the Caribbean overlap the US working day, so code review, standups and production issues get handled live.

Searched against your stack

Cloud provider, Databricks workspace, languages and the sources you load come from your brief, and each profile is checked against them before you see it.

Replacement guarantee

24 months on Managed Staffing, 6 months on Direct Hire. If the fit is wrong, the guarantee covers the replacement search.

WHY CLOUDTASK

Staffing with numbers behind it

10,000+

hires placed

since 2016

85%

still in seat

past 90 days

24 months

replacement guarantee

on Managed Staffing

countries

across Latin America and the Caribbean

TECH STACK

The Databricks stack we screen for

Processing

Apache Spark with PySpark and Spark SQL
Structured Streaming
Scala where the codebase uses it

Storage and tables

Delta Lake tables
Medallion architecture: bronze, silver and gold
Unity Catalog for governance

Orchestration and delivery

Lakeflow Jobs (formerly Workflows)
Lakeflow Declarative Pipelines (formerly Delta Live Tables)
Git folders and CI/CD
Databricks Asset Bundles

Analytics and ML

Databricks SQL warehouses
MLflow for experiment tracking
Feeding BI tools

A developer writing code at a desk with several screens

PRICING MODEL

Managed Staffing.

Managed Staffing is open to every role we place. We find the person, handle payments and compliance, and stay involved after the hire with check-ins, visibility, and escalation when something is off. You get the person. We keep the machine running. For roles that create demand, outbound SDRs, BDRs, demand generation and full-cycle AEs, Managed Staffing runs on a six-month minimum term.

Pay

One all-in monthly rate

Per person. That is the number, and there is nothing added to it.

In the monthly rate

Sourcing from the CloudTask staffing and recruiting company
Screening and vetting
Matching coordination
Worker payments
Compliance and employment administration
Onboarding support at day 0, 7, 30 and 60
Ongoing check-ins with the hire and with you
Time and activity tracking, on by default
Performance escalation
24-month replacement guarantee. Replacements not capped.
Health benefits available on request
Equipment benefits available on request

Stays with you

The work itself
Priorities and direction
Who you hire

$299 to start your search. One time, not a subscription. It applies to your buyout or toward your first placement.

Start your search

PRICING MODEL

Direct Hire.

Direct Hire is open to every role we place. We find the person, vet them, and hand them over. You employ them, you manage them, you own the relationship from day one. Roles that create demand usually land here, because live call feedback and daily coaching work best coming straight from your sales leader, and there is no minimum term.

Pay

20% to 30%

Of first-year base salary. One time, quoted per role, paid when they accept.

In the fee

Sourcing from the CloudTask staffing and recruiting company
Screening and vetting
Shortlist of matched candidates
Interview coordination
Offer support
6-month replacement guarantee. One replacement, same job description.

Yours when they accept

Employment and payroll
Compliance and employment administration
Ongoing management
Time and activity tracking
Health benefits and equipment benefits

$299 to start your search. One time, not a subscription. It applies to your buyout or toward your first placement.

Start your search

How CloudTask compares

Run the numbers. We did.

The same role, three ways to fill it.

Swipe to compare

		US Direct Hire	Staffing Agency
Time to First Interview	48 hours	3 to 6 weeks	2 to 4 weeks
Payroll & Compliance	Included on Managed Staffing	You manage	Included in rate
Vetting Process	Human + AI verified	You screen	Recruiter screened
Candidate spam	Screened out before you see a profile	Common	Low
Tool Verification	Verified per candidate	Self-reported	Rarely verified
Free Replacements	24 months on Managed Staffing, 6 months on Direct Hire	None	Variable

See all comparison

Testimonials

Trusted by teams that hire with us

LATAM has been a gold mine for talent. Our CloudTask hires understand our company culture and mission, and they connect with our customers in a way that drives high NPS and CX scores.

David Barrett CEO, Expensify
At first we were an SF-based team only. Then I met Amir Reiter back in 2018. After visiting Medellín, I knew LATAM would be key to our growth and success.

Tim Zheng CEO, Apollo.io
After meeting my CX and CS team in Medellín, we immediately loved the culture and the work ethic. As a European-HQ company, we found LATAM to be perfect to service our American clients.

Carl Carell CRO and Co-founder, GetAccept

SKILLS

Top skills to look for in a Databricks developer

Running a notebook is the entry ticket. These are the skills that decide whether your pipelines stay correct, fast and affordable in production.

Spark performance

Understands partitions, shuffles and skew, reads the Spark UI and fixes the slow stage instead of adding bigger clusters.
Delta Lake done right

Uses merges, schema enforcement, time travel and table maintenance so tables stay consistent and fast over time.
Pipelines that can be rerun

Builds idempotent jobs that can be rerun after a failure without duplicating or losing records.
Notebooks become code

Moves logic out of ad hoc notebooks into versioned, tested modules deployed through CI, not copied between workspaces.
Governance with Unity Catalog

Organizes catalogs, schemas and permissions so teams can find data and sensitive data stays protected.
Cluster cost control

Chooses job clusters over always-on clusters, sets autoscaling and termination, and can explain what each workload costs.
Data quality checks

Adds expectations and checks at each layer, so bad records are caught before they reach a report or a model.
AI output, reviewed

Uses the assistant to draft transformations and reviews the logic and the plan before a job runs on real data.

HIRING GUIDE

How to hire Databricks developers

Databricks work needs Spark fluency and data engineering judgment in the same person, so the interview has to test both. This guide covers what a Databricks developer does, how to scope the role, what to test, the red flags and when a dedicated Databricks developer is the wrong hire.

What does a Databricks developer do?

Builds and runs data pipelines and analytics workloads on Databricks: ingesting data from source systems, transforming it with Spark into Delta tables and serving it to analysts, reports and machine learning models.

Day to day that means writing PySpark and SQL, scheduling workflows, tuning slow jobs and answering why a table did not update last night.

Batch, streaming or machine learning: scope the role first

Most Databricks roles center on batch pipelines. Some need streaming, with its own rules on state, late data and exactly-once processing. Others support data scientists with feature tables and MLflow.

Say which of these your team needs. A strong batch engineer is not automatically a strong streaming engineer.

Pipelines that fail loudly

The worst Databricks failures are silent: a job succeeds, a table stops updating, and reports keep showing stale numbers for days.

Ask how the candidate monitors freshness and row counts, what happens when a source schema changes, and how they rerun a failed day without duplicating data.

Performance and cost

Slow Spark jobs usually come from skewed joins, too many small files, unnecessary shuffles and clusters that are the wrong size or never shut down.

A strong candidate reads the Spark UI, fixes the cause and explains what the job costs before and after.

What to test in a Databricks developer interview

Give a small task close to your real work: load a raw file, clean it and merge it into a Delta table without duplicates. Read how they handle schema changes, reruns and bad records.

Then show a slow job and its Spark UI and ask what they would look at first. You want to hear about stages, shuffles, skew and file sizes.

Red flags in Databricks developer candidates

Everything in one notebook. A candidate whose pipelines live in long notebooks with no modules, tests or version control will leave you with jobs nobody else can change.

Bigger clusters as the fix. Scaling up every slow job instead of finding the skew or the shuffle makes the bill grow faster than the data.

No idea how to rerun. If they cannot say how to rerun a failed load safely, expect duplicated or missing records the first time something breaks.

No data checks. Pipelines without expectations or row count checks pass bad data straight to reports.

Always-on clusters. Leaving interactive clusters running for scheduled jobs is a sign nobody has been watching cost.

When should you not hire a dedicated Databricks developer?

When your data fits comfortably in a single database or a warehouse and your transformations are plain SQL. Databricks adds power and complexity you may not need.

It is also the wrong hire when you have not decided on the platform. Hire for the architecture decision first, then for the platform.

How much does it cost to hire a Databricks developer?

It depends on seniority, the scope of the work and the country the person works from, and any single number describes one scenario and calls it a price.

What is worth understanding is the shape. On Managed Staffing it is one all-in monthly rate per person, with payments, compliance and replacement cover inside it. On Direct Hire it is a one-time fee of 20% to 30% of first-year base salary and the person goes on your payroll. We quote your number before you interview anyone.

Why hire a Databricks developer in Latin America?

Overlap. Development runs on code review, standups and incidents, and Latin America and the Caribbean share most of the US working day, so those happen in real time instead of overnight.

The second reason is communication. Your developer writes pull request descriptions, technical notes and status updates in English, and we screen English live on a call.

How does CloudTask hire for this role?

You send your cloud provider and Databricks setup, the sources you load, batch or streaming, the kind of work and the hours you need covered. We source against that brief and come back with 3 to 5 matched profiles within 48 hours, each one screened on a live call and checked against the stack you named.

You interview and choose. On Managed Staffing we handle payments, compliance and onboarding and stay involved with check-ins. On Direct Hire the person joins your payroll from day one. Both carry a replacement guarantee: 24 months on Managed Staffing, 6 months on Direct Hire.

FAQ

The fine print, in plain terms.

Is a Databricks developer the same as a data engineer?

Mostly, with a focus. A Databricks developer is a data engineer who works on the Databricks platform with Spark and Delta Lake. If your data lives elsewhere, say so and the search follows your stack.

Can a Databricks developer support our data science team?

Yes, if the brief says so. Some Databricks developers build feature tables, manage MLflow experiments and put models into scheduled jobs. Tell us how much machine learning work the role includes.

Which languages do Databricks developers use?

Mostly Python with PySpark and SQL. Some codebases use Scala. Name the languages your jobs are written in and we check them per candidate.

How fast can a Databricks developer start?

You get 3 to 5 matched profiles within 48 hours. After you choose, plan the first week for access, a walkthrough of your pipelines and a first change that goes to production.

What is the $299 for?

It starts your search. One time, not a subscription. It applies to your first placement or toward a buyout, so it is not an extra cost, it is the first part of one.

Why is there no number on the monthly rate?

Because it depends on the role, the seniority and the country. We quote the all-in monthly rate per person before you interview, so you know the number before you commit to anyone.

Who is the legal employer?

On Managed Staffing, CloudTask is the contracting party and handles payments and compliance, and you direct the work. On Direct Hire, you employ and manage the hire from day one.

How does tracking work, and can I turn it off?

On Managed Staffing, time and activity tracking is on by default. Talk to us about your setup when you start your search.

What happens if the person does not work out?

Managed Staffing carries a 24-month replacement guarantee, and replacements are not capped. Direct Hire carries a 6-month replacement guarantee: one replacement for the same job description.

Is there a platform or subscription fee?

No. $299 starts your search, one time, and applies toward your first placement. There is no subscription.

Ready to hire?

3 to 5 matches in 48 hours. Start with a quick role brief to get your shortlist.

Get matched