Niche
Senior Data Engineer (Brazil and Argentina Only)
Vaga remota de Senior Data Engineer com fit claro de localização do candidato.
Publicada4 de jul. de 2026
Países elegíveis2 países aceitos
Sinal de senioridadeSenior
Modelo de trabalhoRemoto
Locais aceitos para candidatos
ArgentinaEstados Unidos
Resumo da vaga
Senior Data Engineer (Brazil and Argentina Only)
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
During the First Month:
- 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
Within 3 Months:
- 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
Within 6 Months:
- 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
Within 12 Months:
- 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
What We Are Looking For
- 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
Interview Process
- Phone Screen with Talent Acquisition Partner - 30 Minutes
- Video Interview with Hiring Manager - 30 Minutes
- Code Test - 1 Week
- Team Interview - 45 Minutes
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