Senior Data Engineer

The role

You will build, operate, maintain, and evolve systems supporting internal and customer-facing analytics platforms. This includes owning a production data lake, a Postgres data warehouse, and integrating graph databases.

What you will do

• Own the production data lake including CDC ingestion, Trino query layer, and table catalog
• Operate and evolve the Postgres data warehouse
• Build analytics-ready datasets
• Maintain pipeline health, latency SLAs, and schema-drift detection
• Manage GitOps/Terraform infrastructure and backup/DR posture
• Maintain and evolve Dagster-orchestrated dbt pipelines
• Operate the BI/reporting layer with policy-based data access
• Integrate the graph database with the warehouse, lake, and primary databases
• Support and extend production genAI workflows
• Partner with data science to migrate legacy services

Required qualifications

• 5+ years in data engineering, analytics engineering, or data platform engineering
• Advanced SQL and relational database experience (Postgres, MongoDB)
• Hands-on graph database experience in production
• Experience with open table formats and medallion lake architectures (e.g., Apache Iceberg)
• Experience with distributed SQL engines (e.g., Trino, Presto)
• Experience with streaming/CDC pipelines (e.g., Kafka or Pulsar, Debezium, Flink or similar)
• Strong Python skills
• Experience with dbt orchestrated by a modern scheduler (e.g., Dagster, Airflow)
• AWS infrastructure experience (EKS, VPC, IAM, S3) via infrastructure-as-code (e.g., Terraform)
• Experience with CI/CD, GitOps (e.g., ArgoCD), and Docker
• Experience with analytics data modeling, metric definitions, and automated monitoring/data-quality controls
• Experience operating production data systems: incident triage, root-cause analysis, runbooks, reliability improvements

Nice to have

• Experience with BI tooling supporting per-user, policy-based data access (e.g., Superset with SSO impersonation)
• Experience with policy-based access control (e.g., OPA) and identity platforms (e.g., Keycloak)
• Familiarity with multi-region data residency (e.g., separate EU/China data handling)

Benefits

• Medical, Dental, and Vision Insurance
• Worldly covers 90% of employee premiums and 60% of spouse/dependent premiums
• Company-sponsored 401k with up to 4% match for US employees
• Incentive Stock Options
• 100% Parental Paid Leave
• Unlimited PTO
• 12 paid company holidays
• Work-From-Home Stipends
• Office stipend

About the company

Worldly is an impact intelligence platform delivering real data to businesses on impacts within their supply chain. It operates as a public benefit corporation.