Engineering Manager (Full Stack & Data, Remote)

Job summary

The role involves leading cross-functional teams of software and data engineers to develop customer-facing products and data processing pipelines. The Engineering Manager will focus on building high-performing teams, driving results, and ensuring the technical direction aligns with both short and long-term goals.

Qualifications

• Experience in a high-growth scaleup environment.
• Passion for climate-related initiatives.
• Proven impact on business through data platforms and systems.
• 2+ years of experience managing full-stack or data engineering teams.

Responsibilities

• Enable data engineers to deliver high-quality data platforms and pipelines.
• Attract and grow engineering talent.
• Foster an inclusive team culture.
• Provide coaching and feedback to team members.
• Collaborate with product managers and stakeholders on data architecture decisions.
• Ensure data architecture and pipelines meet product and analytics goals.
• Work with other leaders on strategy and technology improvements.

Skills

• Proficiency in technologies such as React/Typescript, Python/FastAPI, PostgresDB, and data orchestration tools like Airflow.
• Ability to contribute at a senior engineering level when needed.
• Familiarity with cloud environments (GCP, Kubernetes) and data reliability practices.
• Strong leadership and mentoring skills.
• Excellent communication and collaboration abilities.

Education

• Relevant degree or equivalent experience in engineering or a related field.

Tools

• Experience with data pipeline orchestration tools, cloud platforms, and observability tools.