Mactores

Data Engineer (Intern)

Work from home

Remote role where the employee must remain based in a particular country.

India only

From the listing details: Residency required in India

Added 5 weeks ago

Listed for 29 days before it closed.

This job has closed

Mactores has taken this listing down, so it is no longer accepting applications. The details below are kept for reference only.

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Salary

Not stated

Location

India only

Timezone

Not stated

Contract

Full-time

Experience

Entry

What the advert says

Quoted word for word from the employer's advert. Where it says nothing, we say so.

Working hours: Not mentioned in the advert
Where you can work from: Location eligibility not confirmed
Contract: This internship is an apprenticeship in data platform modernization the pillar of our work where legacy warehouses get retired and data platforms reach production on AWS.
Experience asked for: Not mentioned in the advert
Pay: Not mentioned in the advert

Remote flexibility

Work from home

This is a remote role, but the employee must be based in India. It is work from home rather than work from anywhere.

What the employer says

Source listing states candidate location: "Mumbai, MH, remote"

What Nomaders makes of it

Residency required in India
Payroll and tax are likely handled in that country only

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

Before you apply

Questions worth asking: Nomaders interpretation

The advert does not say where you can be based. Ask which countries they can legally employ or contract you from.
No pay is stated. Ask for the salary range before investing time in interviews.

Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.

About the role

Mactores is the agent-native AWS modernization firm. Most modernization work doesn't ship, it stalls in pilots, slips a year, or lands at three times the budget. We exist to ship it: production systems running, legacy retired, outcomes measured. Our delivery is built on Aedeon, the agent platform built by Mactores' founders' sister company, which absorbs the repetitive 60–70% of engagement work, discovery, dependency mapping, validation, test generation, that traditional consulting bills human hours against. Forward-deployed engineers own the rest: architecture, judgment, and cutover, on dates we commit to in the contract.

This internship is an apprenticeship in data platform modernization the pillar of our work where legacy warehouses get retired and data platforms reach production on AWS. You'll write real pipeline code on real projects, working with business leads, analysts, and data scientists to understand the domain, then with engineers to build data products that make decisions better.

Here's the honest framing: you're learning the agent-native craft, not owning cutover. Agents handle much of the repetitive discovery and validation work that used to fill junior engineers' days, which means your time goes further into Spark, ETL design, and understanding why data quality decisions matter to the business. If you care about the quality of the metrics a business runs on, and you want your solutions to scale to bigger questions, this is the seat.