Lead Data Engineer en Niuro

Remoto (Sudamérica, Centroamérica o México) | Senior | Full time | Data Science / Analytics

Sueldo bruto $4000 - 5000 USD/mes

56 postulaciones

Replies between 0 and 10 days

Revisado por última vez hoy

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This is an opportunity to own a fintech data platform end-to-end as a Lead Data Engineer. The role covers optimizing the customer database, building modern pipelines from SQL Server to BigQuery, and laying the architecture that powers underwriting, collections, and AI workflows. Real ownership from day one — understand the business first, then build the data foundation to scale it.

Este empleo es exclusivo de getonbrd.com.

Key Responsibilities

Own the end-to-end data platform: architecture, pipelines, quality, and governance.
Develop a deep understanding of the business and how its data is generated, and translate that into architecture and design decisions.
Drive the remediation and optimization of existing data assets, ensuring quality, consistency, and reliability across core datasets.
Design, build, and operate reliable data pipelines between SQL Server, BigQuery, and third-party integrations.
Define and implement the target data architecture, including layered modeling (medallion), data cataloging, and lineage.
Establish governance practices across the platform — auditability, access, and cost efficiency across BigQuery and Azure.
Partner with cross-functional stakeholders (Underwriting, Collections, Product) to align data capabilities with business needs.
Shape the long-term cloud and data strategy, and mentor engineers as the team grows.

Experience and Skills

5+ years of experience designing and operating production data pipelines at scale, ideally within fintech or lending environments
Proven ability to quickly understand a business domain and how its data is generated, and translate that into architecture decisions
Demonstrated experience inheriting legacy data structures and remediating them end-to-end — data cleanup, deduplication, and quality frameworks
Strong proficiency in Google Cloud (BigQuery) and working knowledge of Azure (Data Factory, ADLS)
Production-level Python and strong SQL fluency, including BigQuery-specific optimization patterns like partitioning, clustering, and cost control
Experience implementing medallion architecture with explicit schema contracts and lineage between layers
Experience mentoring engineers or leading small teams is a plus
Hands-on by default — you build, not just direct
B2 English level or higher

Skills

Data Engineering
Python
SQL
Google Cloud
BigQuery
Azure
Azure Data Factory
ADLS
Medallion Architecture
Data Governance

Nice to Have

Databricks
Unity Catalog
Apache Airflow
Dagster
GitHub Actions

Benefits

We provide the opportunity to participate in impactful and technically rigorous industrial data projects that drive innovation and professional growth. Our work environment emphasizes technical excellence, collaboration, and continuous innovation.

Niuro supports a 100% remote work model, allowing flexibility in work location globally. We invest in career development through ongoing training programs and leadership opportunities, ensuring continuous growth and success.

Upon successful completion of the initial contract, there is potential for long-term collaboration and stable, full-time employment, reflecting our long-term commitment to our team members.

Joining Niuro means becoming part of a global community dedicated to technological excellence and benefiting from a strong administrative support infrastructure that enables you to focus on impactful work without distraction.

GETONBRD Job ID: 62542

Política de trabajo remoto

Remoto sólo localmente

El trabajo es 100% remoto, pero los candidatos deben residir en Sudamérica, Centroamérica o México para postular.

Acerca de Niuro

Niuro connects projects with elite tech teams, collaborating with leading U.S. companies. Our mission is to simplify global talent acquisition through innovative solutions that maximize efficiency and quality. — Perfil completo de Niuro

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