Niche

Senior Data Engineer (Brazil and Argentina Only)

Remote Senior Data Engineer role with clear candidate location fit.

PostedJul 4, 2026

Eligible countries2 accepted countries

Seniority signalSenior

Work settingRemote

Accepted candidate locations

ArgentinaUSA

Can I actually apply?Check country list

Accepted candidate countries are listed (2).

Source freshnessJul 4, 2026

Location fit2 accepted countries

Stack matchCI/CD, Docker

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Mira fit summaryWhy this role is worth checking

Location fit2 accepted countriesAdd your country

Stack matchAdd profile skills to compareCI/CD, Docker

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Applying forSenior Data Engineer (Brazil and Argentina Only)Niche

Country fit2 accepted countries

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Role overview

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Learn about Niche by meeting with various team members to learn more about our company through our Onboarding meetings
Immerse yourself in the company culture, and get to know your team and key stakeholders
Build relationships with data engineering team members, understand the day to day operating model, and stakeholders that we interact with on a daily basis
Start to learn about our data platform infrastructure, data pipelines, source systems, and inter-dependencies
Start participating in standups, planning, and retrospective meetings

Participate in periodic data engineering activities, e.g. monthly insights reporting, profile data updates, etc
Start delivering on assigned data engineering tasks to support our day to day, and roadmap
Start troubleshooting production issues, and participating in on-call activities
Identify several areas for improving data engineering processes, and share with the team

Contribute consistently towards building our data platform, which includes data pipelines, and data warehouse layers
Independently own and lead workstreams whether it is periodic data engineering activities, or work items in support of our roadmap
Deepen your understanding, and build subject matter expertise of our data & ecosystem

Your contributions have led to us making significant progress in implementing the data platform strategy, and key data initiatives to support the company's growth
You’ve established yourself as a key team member with subject matter expertise within data engineering

Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field
6+ years of experience in data engineering
Demonstrated experience of building, and supporting large scale data pipelines - streaming and batch processing
Software engineering mindset, leading with the principles of source control, infrastructure as code, testing, modularity, automation, CI/CD, and observability
Proficiency in Python, SQL, Snowflake, Postgres, DBT, Airflow, Docker, Kubernetes, Kafka
Experience of working with Google Analytics, Marketing, Ad & Social media platform, CRM/Salesforce, and JSON data; Government datasets, and geo-spatial data will be a plus
Knowledge and understanding of the modern data platform, and its key components - ingestion, transformation, curation, quality, governance, and delivery
Knowledge of data modeling techniques (3NF, Dimensional, Vault)
Self-starter, analytical problem solver, highly attentive to detail, effective communicator, and obsessed with good documentation
Familiarity with Agile product management principles will be a plus