Hire data engineers who make your dashboards match reality

Senior Latin American engineers who close the gap between what your source systems say and what your dashboards report.

  • Owns ingestion, transformation, and orchestration end to end
  • Works in dbt, Fivetran, Spark, and Kafka pipelines
  • Data engineers who audit and validate end to end
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Teams already hiring through Deverr
Placing Latin American talent since 2020
5.0
★★★★★
Reviews on Clutch

What your data
engineer owns

Two data engineers reviewing a pipeline diagram on a monitor
Pipelines run on schedule
Owns the data stack

Companies hire a data engineer from Deverr when the data needs a clear owner.

Ours are senior Latin American engineers who work in your repo, your warehouse, and your standups, screened against the tools you actually run.

Senior data engineers we place catch the failed nightly job before Sales does, and the upstream schema change before it breaks your models.

How we vet
data engineers

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Data engineer icon

Owns the pipeline end to end

Ingestion, transformation, orchestration, and the warehouse sit with one accountable person.

Checklist icon for work a candidate has shipped

Data the business relied on

Every candidate has owned data that real decisions were made from.

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Correctness before delivery

They can show how they caught a bad load or a silent schema change before anyone downstream noticed.

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Cost and freshness control

Warehouse spend and data latency are treated as engineering constraints, so your bill and your SLAs hold.

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Remote communication

English is tested in live conversation, because a remote data engineer works inside your standups.

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Data quality and testing habits

We look for engineers who build tests, checks, and alerts into the pipeline, so bad data gets caught before it reaches a dashboard.

The requirements we screen against

Area
What we require
Experience
5+ years building and running production data pipelines
Core languages
Strong SQL, plus Python for pipeline and transformation work
Pipelines
ETL and ELT development with dbt, Fivetran or equivalent
Processing
Batch and streaming, Spark and Kafka
Storage
Warehouse and data lake design, including partitioning and cost control
Modeling
Dimensional or equivalent modeling built for analytics consumption
Orchestration
Scheduling, dependency management and backfills
Data quality
Tests, freshness checks and monitoring in place before handover
Ingestion
Pulling from third-party sources and commerce APIs
Testing and observability
dbt tests, data freshness monitoring, and pipeline alerting
Cloud and data platforms
AWS, Azure, or GCP, including Snowflake, BigQuery, or Redshift
Delivery
CI/CD applied to pipelines as well as application code
Security
Working understanding of data handling, access control and PII
Degree
We evaluate demonstrated skill over credentials
Certifications
None required for this role
Christo Brown, Head of Product at Connect Financial

“What stands out about Deverr is their engineering team’s ability to work efficiently without compromising quality.”

Christo Brown

Head of Product, Connect Financial.

Deverr has done a great job of meeting and exceeding our expectations. What stands out about Deverr is their engineering team's ability to work efficiently without compromising quality.
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Christo Brown
Christo Brown
Head of Product, Connect Financial
Deverr built our ingestion and data modeling engine for Shopify data. They built rock-solid infrastructure, were professional, and responsive. True partners in every sense.
Read more
Mubeen Ibrahim
Mubeen Ibrahim
Head of Data, Superbalist
We needed a senior full-stack developer fast. Deverr placed someone in under two weeks who was shipping code by day three. Six months later he's one of our core team members.
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Andrew Love
Andrew Love
Founder, SOVRUN
We couldn't be happier with the full-stack, AI, and WordPress developers Deverr found for us. They saved us a ton of time recruiting and brought in highly experienced developers who fit our culture perfectly, at a fraction of what we'd pay for U.S. developers of the same skill level. 5 stars, I can't recommend them enough.
Read more
Cam Fulton
Cam Fulton
CEO, SearchActions
Alvis.Care started as my garage project, built on Lovable, held together by vision and duct tape. Within a month of bringing on Deverr, they placed Allan as our lead engineer and our code was professionalized and stabilized. Allan took ownership of the team and gave me back time to sell the vision. If you built something real and need it to become a company, this is how you do it.
Read more
Srdjan Stakić
Srdjan Stakić
Founder, Alvis.Care
Deverr is officially the gold standard for scaling a team without the usual headaches. We will never go back to traditional recruiting after seeing how effortless this was.
Read more
Brandon Sheiner
Brandon Sheiner
Founder, Promethean Innovations, Inc
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Why engineering directors pick Deverr

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One owner for the whole stack

Ingestion, modeling, and the data management in between all sit with one engineer, so there is always a clear owner when a pipeline breaks at 7am.

No juniors on this bench illustration

Senior only, no juniors placed

Every engineer has owned data the business made decisions on.

Matched to the warehouse you run illustration

Matched to your warehouse and tools

Candidates are screened against the stack you actually run, so you hire true data engineers.

Your time zone your standups illustration

Your time zone, your standups

LatAm engineers work US hours, so reviews, incidents, and handoffs happen inside the same working day.

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Payroll and compliance handled

We cover payroll, taxes, benefits, hardware, and compliance in every LatAm country we place in.

How hiring a data engineer works

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  1. 1

    Share your data stack

    Tell us what you run, what is breaking, and what the role has to own.

  2. 2

    Meet matched data engineers

    You get a short list, each candidate scored and briefed against your requirements.

  3. 3

    Interview your shortlist

    You run your own interviews. We coordinate scheduling and answer anything the scoring raised.

  4. 4

    Onboard your remote engineer

    Your data engineer starts in your repo, warehouse, and Slack, with payroll already handled.

Other data and engineering roles

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Nearshore hiring advice from our team

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Read more nearshore hiring advice

FAQs

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How fast can you place a data engineer?

Most placements run one to two weeks from first call to first day, covering sourcing, vetting, interviews, and onboarding. Flag an urgent role on the call and we prioritize it.

How do you score a data engineer candidate?

Four areas, each from 0 to 5: cultural match, technical match, English, and interpersonal skill. There is no pass mark, so you get the full picture instead of one number.

Can I hire remote data engineers without a local entity?

Yes. We handle payroll, taxes, benefits, and compliance in every LatAm country we place in, so you do not need an entity of your own.

Which data tools do your engineers work in?

Common ground includes dbt, Fivetran, Spark, Kafka, and warehouses on AWS. We match against the stack you run rather than a general profile.

What if the data engineer is not working out?

We stay involved after every placement. If something is off we address it quickly rather than closing the file and moving on.

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Meet your next senior team member

Fill in the form and you will go straight to our calendar to pick a time that suits you. Here is what happens next:

  1. 1
    You choose a consultation time on the next screen
  2. 2
    We scope the role, seniority and timing on the call
  3. 3
    You meet 2 to 3 vetted candidates
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