Engineering Manager, Data Tools (Python/Go) - Remote

remote work

United States

Hybrid

USD 150,000 - 190,000

Full time

2 days ago
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Benefits offered by this job

Relocation support
Flexible work
Healthcare coverage
Education budget
Wellness budget
Annual leave

Job summary

remote work is seeking an experienced Engineering Manager to lead the DWH Data Tools team, guiding architecture and development of data platforms including Superset, Jupyter Hub, and DataHub. The role blends people leadership with hands-on technical oversight across Python, Node.js, and Go stacks.

You will mentor engineers, collaborate with product teams, and ensure reliable, scalable tools while adapting to evolving business needs and priorities in an international setting.

Qualifications

  • 1+ years of experience managing engineering teams in fast-paced settings, preferably fintech.
  • Strong skills in cross-functional collaboration and partnership building.
  • Proven ability to design, deploy, and manage data tools and BI platforms.

Responsibilities

  • Lead, mentor, and manage a team of engineers and drive performance.
  • Collaborate with product stakeholders to translate visions into actionable designs.
  • Drive planning, development plans, and adapt to shifting priorities.
  • Oversee architecture, design, and implementation of data tools (Superset, Jupyter Hub, DataHub).
  • Communicate with data engineers, analysts, and stakeholders to ensure data usability.

Skills

People management
Cross-functional collaboration
Data tools expertise
Communication skills
Adaptability

Tools

Python
Node.js
Go
Superset
Jupyter Hub
DataHub
Airflow
DBT
Kubernetes
Snowflake

Job description

remote work is seeking an experienced Engineering Manager to lead the DWH Data Tools team, guiding architecture and development of data platforms including Superset, Jupyter Hub, and DataHub. The role blends people leadership with hands-on technical oversight across Python, Node.js, and Go stacks.

You will mentor engineers, collaborate with product teams, and ensure reliable, scalable tools while adapting to evolving business needs and priorities in an international setting.

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