Data Engineer

About the role

Ethos Life is looking for a Data Engineer to join its Data Platform team. You will build and operate the internal infrastructure, services, and tooling that power the company’s data stack, serving engineers, analysts, data scientists, and operations teams.

Key responsibilities

• Design, build, and operate distributed workflow systems using Temporal and Airflow.
• Develop internal Python libraries and shared Airflow operators for cross‑team consumption.
• Create config‑driven UI applications that let users author and run ingestion and transformation jobs.
• Administer Snowflake, dbt Cloud, Airflow, and Kafka, handling governance, reliability, and cost optimization.
• Own end‑to‑end production code lifecycle: design, review, deployment, monitoring, and incident response.
• Implement automation for service and ML model deployment, and monitor production system health.

Required profile

• 4+ years of software engineering experience with strong fundamentals in data structures, algorithms, concurrency, and system design.
• Proficiency in at least one programming language such as Python or Go.
• Solid understanding of SQL, data modeling, ETL processes, data warehousing, and data governance.
• Experience building and operating backend systems, APIs, and distributed applications in production.

Required skills

• Python, Go
• SQL and data modeling
• Snowflake, dbt Cloud, Airflow, Kafka
• Temporal workflow orchestration
• CI/CD, automated testing, code review, observability tooling
• MLOps concepts (MLflow, Kubeflow, SageMaker) – optional
• Stream processing frameworks such as Flink – optional