Product Development & Innovation
How Text-to-SQL is Democratizing Data
Senior Latin American engineers who close the gap between what your source systems say and what your dashboards report.
Companies hire a data engineer from Deverr when nobody owns the data and it shows. Ours are senior Latin American engineers who work in your repo, your warehouse, and your standups. Screening runs against the tools you actually run rather than a generic rubric.
Senior data engineers we place are trained to catch the failed nightly job before Sales does. They catch the upstream schema change before it breaks three models, and the two dashboards drifting apart on revenue before someone forecasts off the wrong one.
They watch the warehouse bill while it is still a line item, and they join your team directly. We employ them in their own country and run payroll, taxes, benefits and local compliance, so you never open a local entity.
Every data candidate clears the same screen before their profile reaches you.
Ingestion, transformation, orchestration and the warehouse sit with one person instead of spread across whoever was free.
Every candidate has owned data that real decisions were made from, not a side project dataset.
They can show how they caught a bad load or a silent schema change before anyone downstream noticed.
Warehouse spend and data latency are treated as engineering constraints, so your bill and your SLAs hold.
English is tested in live conversation, because a remote data engineer works inside your standups.
Repeated reschedules, thin interest in the call, or unprompted bluntness about pay all end a process. A distant time zone with no overlap plan means we dig a layer deeper.
Christo Brown, Head of Product, Connect Financial. Five-star review.
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.
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.
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.
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.
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.
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.
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Five things that hold on every data engineering placement we make.
Ingestion, modeling, and the data management in between all sit with one engineer, so nobody guesses who owns a broken pipeline at 7am.
Every engineer has owned data the business made decisions on. You are not funding a first warehouse build.
Candidates are screened against the stack you actually run, so you hire data engineers rather than general developers moved onto a pipeline.
LatAm engineers work US hours, so reviews, incidents, and handoffs happen inside the same working day.
We cover payroll, taxes, benefits, hardware, and compliance in every LatAm country we place in.
Four steps from first call to first pipeline in production.
Tell us what you run, what is breaking, and what the role has to own.
You get a short list, each candidate scored and briefed against your requirements.
You run your own interviews. We coordinate scheduling and answer anything the scoring raised.
Your data engineer starts in your repo, warehouse, and Slack, with payroll already handled.
If the gap on your team sits either side of the pipeline, these are the roles we fill next to it.
Senior engineers who ship features end to end, not tickets.
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.
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.
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.
Common ground includes dbt, Fivetran, Spark, Kafka, and warehouses on AWS. We match against the stack you run rather than a general profile.
We stay involved after every placement. If something is off we address it quickly rather than closing the file and moving on.
Fill in the form below and you will go straight to our calendar to pick a time that suits you. Here is what happens next:
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