Remote Staff Software Engineer, Curated Data Platform

Jobgether

Lavamünd

Vor Ort

EUR 148.000 - 201.000

Vollzeit

Vor 4 Tagen
Sei unter den ersten Bewerbenden
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Benefits dieser Stelle

Competitive salary and equity
Remote-first environment
Flexible hours
Medical, dental, vision insurance
Parental leave
Travel allowances
Home-office setup
Team offsites

Zusammenfassung

Jobgether is seeking a Staff Software Engineer for Curated Data, based remotely with Switzerland as the partner location. You will design and own the data orchestration and lifecycle control plane, champion data correctness, and guide complex components from design to production across Go, Kotlin, Rust, Python, and SQL.

You will collaborate across distributed teams, implement robust schemas, recoveries, and backfills, and ship reliable data services with a strong emphasis on architectural

Qualifikationen

  • Significant backend experience with data systems.

Aufgaben

  • Design and build the control plane for curated data lifecycles and orchestration.
  • Own architectural decisions across datasets and data models.
  • Define clear contracts between ingestion and curation layers for end-to-end data integrity.
  • Develop monitoring, alerts, and data quality signals to reduce operational noise.
  • Collaborate with distributed teams and translate product requirements into actionable plans.
  • Implement the most challenging components and mentor others to deliver.

Kenntnisse

Backend engineering
Data systems
SQL proficiency
Distributed systems
Architectural thinking
Async collaboration
AI tooling usage
Polyglot programming

Tools

dbt
SQLMesh
Flink
Kafka Streams
Spark

Jobbeschreibung

Jobgether is seeking a Staff Software Engineer for Curated Data, based remotely with Switzerland as the partner location. You will design and own the data orchestration and lifecycle control plane, champion data correctness, and guide complex components from design to production across Go, Kotlin, Rust, Python, and SQL.

You will collaborate across distributed teams, implement robust schemas, recoveries, and backfills, and ship reliable data services with a strong emphasis on architectural

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