Clera
More roles at CleraSenior Data Engineer
Remote work allowed only within certain countries or regions.
LATAM
Employer listed it 6 days ago · Added 4 days ago
First listed 6 days ago and still open.
Salary
$80k to $120k per year
Location
LATAM
Work style
Async
Contract
Full-time
Experience
Senior
Category
Data
Stated by the employer in the job description
What the advert says
Quoted word for word from the employer's advert. Where it says nothing, we say so.
- Working hours
Strong Python skills, including asynchronous HTTP and concurrent processing with tools such as asyncio, aiohttp, or HTTPX.
- Where you can work from
Fully remote, candidates must be based in Latin America.
- Contract
- Not mentioned in the advert
- Experience asked for
- Not mentioned in the advert
- Pay
Compensation & Benefits
Remote flexibility
Region Restricted
Remote work is allowed, but only for candidates based in LATAM.
What the employer says
- Source listing states candidate location: "remote"
- Job description states: "candidates must be based in Latin America."
What Nomaders makes of it
- Timezone overlap with the listed area is often expected
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
Experience: employer states
Written as a requirement
- “At least 5 years building and operating production data platforms, with ownership spanning architecture, implementation, deployment, and ongoing operations.”
Questions worth asking: Nomaders interpretation
- The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.
Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.
About the role
About the Role
Join a data infrastructure team building a platform that turns information from multiple sources into reliable, up-to-date company intelligence. You will own the platform end-to-end, from architecture and ingestion through production operations, helping power downstream products with trusted data.
What You'll Do
Design and build a multi-source data platform for concurrent ingestion, event-driven processing, and orchestrated batch workflows.
Develop intake pipelines for provider APIs, webhooks, files, and web scraping, with rate limiting and robust failure handling.
Orchestrate scheduled workflows and historical backfills using tools such as Airflow, Dagster, or Prefect.
Build event-driven systems with messaging or task queues, including retries, dead-letter queues, and controlled replay.
Preserve original payloads in Google Cloud Storage and transform data with dbt into raw, standardized, and curated layers.
Implement idempotent upserts, data contracts, automated validation, pipeline tests, and monitoring for freshness and failures.
Design and optimize PostgreSQL schemas and loading patterns, and integrate enrichment providers and LLM-based structured extraction.
What We're Looking For
At least 5 years building and operating production data platforms, with ownership spanning architecture, implementation, deployment, and ongoing operations.
Production experience with GCP and dbt, plus workflow orchestration such as Airflow, Dagster, Prefect, or Temporal, including dependency management, retries, and recovery.
Strong Python skills, including asynchronous HTTP and concurrent processing with tools such as asyncio, aiohttp, or HTTPX.
Strong SQL and PostgreSQL skills in data modeling, query optimization, and reliable incremental loading.
Experience with event-driven systems, queues, data contracts, raw and curated storage, retention policies, automated testing, and pipeline monitoring.
Experience in a startup or small engineering team is useful. Web scraping, entity resolution, company or people data enrichment, and LLM-based extraction are also relevant.
Compensation & Benefits
Annual base salary: $80,000 to $120,000 USD. Visa sponsorship is not available.
Location
Fully remote, candidates must be based in Latin America.
Requirements
The employer hasn't listed requirements separately, they're described in the role summary above and on the original listing.
Benefits
- ·Annual base salary: $80,000 to $120,000 USD. Visa sponsorship is not available.
- ·Fully remote, candidates must be based in Latin America.
How to apply
- 1Check the flexibility label above, region restricted, matches where you plan to live and work.
- 2Tailor your CV to the role at Clera, mentioning your remote working experience and working hours (Async).
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 5d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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