[Hiring] Senior Data Engineer @Worldly

Role Description

Worldly is hiring a hands-on data engineer with a passion for sustainability to join our dynamic team. You will take on a primary role in building, operating, maintaining, and evolving the systems that support our internal analytics and power our customer-facing analytics platforms.

• Own our production data lake — a CDC-fed, medallion (bronze/silver/gold) lake on Apache Iceberg, queried through Trino — as well as our independent Postgres data warehouse.
• Play a core role in integrating our graph database with the warehouse, lake, and primary databases, including migrating legacy pipelines onto a single, governed integration layer.
• Apply generative AI and embeddings-based techniques already running in production (e.g., entity matching, document extraction) to keep expanding what our data can do.

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, including integrating graph models with warehouses and lakes — core, not peripheral, to this role.
• Experience with open table formats and medallion lake architectures (e.g., Apache Iceberg) and distributed SQL engines (e.g., Trino, Presto).
• Experience with streaming/CDC pipelines (e.g., Kafka or Pulsar, Debezium, Flink or similar).
• Strong Python skills for pipelines, automation, and operational tooling.
• 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), plus 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.
• Comfortable working with cross-functional/analytics stakeholders (Jira/Confluence, Agile).
• Familiarity with data security practices (PII protection, encryption, access management).

Requirements

• 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 are offered through multiple PPO options. 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.