Lead Data Engineer

Sur; Teletrabalho; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A remote-first technology organization is seeking a Data Engineer responsible for designing and maintaining data pipelines. The ideal candidate has over 5 years of experience in data engineering, strong SQL skills, and proficiency in Python. Experience with cloud infrastructure and data tooling is essential. The role supports analytics initiatives across teams and offers competitive compensation between $4,000 and $7,000 USD per month, along with unlimited PTO.

Serviços

Unlimited PTO

$4,000 - $7,000 USD / month

Qualificações

• 5+ years hands-on data engineering experience.
• Strong SQL plus programming ability (Python preferred).
• Experience with cloud infrastructure (AWS strongly preferred).

Responsabilidades

• Architect, implement, and maintain scalable data pipelines.
• Build and manage analytics infrastructure using various tools.
• Collaborate with stakeholders to support analytics and decision-making.

Conhecimentos

SQL

Python

Data tooling (Airflow, dbt, Fivetran)

Analytics / BI tools (Metabase, Looker, Tableau, PowerBI)

Cloud infrastructure (AWS)

Soft skills for collaboration

Descrição da oferta de emprego

As the Data Engineer you will be responsible for designing, building, and maintaining the data engineering function for a remote-first technology organization.

This role oversees the full lifecycle of data architecture, pipelines, modeling, tooling, and reliability. It also involves operational duties and direct collaboration with technical leadership, including defining the complete data engineering strategy from the ground up.

Key Responsibilities

• Architect, implement, and maintain scalable data pipelines across core systems.
• Build and manage analytics infrastructure using both open-source and commercial tools.
• Ensure data quality and schema discipline for operational reliability.
• Deliver clean, consistent models and dashboards utilized by multiple teams.
• Collaborate with stakeholders to support analytics, business intelligence, and decision-making initiatives.

Requirements

• 5+ years hands‑on data engineering experience; big plus if you’ve been the first data hire before.
• Strong SQL plus real programming ability (Python preferred).
• Production experience with data tooling (Airflow, dbt, Fivetran).
• Experience integrating APIs and working with warehouses / lakes such as Redshift, ClickHouse, or similar.
• Experience with analytics / BI tools (Metabase, Looker, Tableau, PowerBI, etc.).
• Comfortable with cloud infrastructure and IaC (AWS strongly preferred).
• Soft skills to understand business needs and collaborate with non-tech teams on their use cases.
• Embedded and real time analytics experience is a plus.
• Streaming architectures (Kinesis / Kafka), ClickHouse, ELK, VictoriaMetrics, reverse‑ETL is a plus.

Benefits

• $4,000 - $7,000 USD / month
• Unlimited PTO