Senior Data Engineer – Remote Data Lake & GenAI

Worldly; Northern (KY); Hybrid; USD 135,000 - 165,000; Full time

Benefits offered by this job

Medical, Dental & Vision

401k match

Stock options

Parental leave

Unlimited PTO

12 holidays

Job summary

Worldly is seeking a Senior Data Engineer to design and operate the systems behind our analytics platforms. You will own the production data lake (Iceberg) and the Postgres warehouse, integrating graph data, and enabling GenAI workflows.

The role requires strong SQL, Python, and cloud infrastructure experience, plus collaboration with cross-functional teams across data, product, and security. Join a remote-friendly US team building ESG insights for a global customer base, with a focus on

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).

Responsibilities

• Own our production data lake — a CDC-fed, medallion lake on Iceberg, queried through Trino — and our Postgres data warehouse.
• Integrate the graph database with the warehouse, lake, and primary databases, migrating legacy pipelines to a single governed integration layer.
• Apply GenAI and embeddings-based techniques to expand data capabilities in production.
• Operate and evolve the data warehouse and data lake schemas, access controls, and analytics-ready datasets.
• Maintain and evolve Dagster-orchestrated dbt pipelines and BI/reporting with per-user data access enforcement.
• Own pipelines integrating the graph with data platforms and guide migration of legacy services to shared paths.
• Support GenAI workflows — embeddings, similarity search, and extraction/classification.

Job description

Worldly is seeking a Senior Data Engineer to design and operate the systems behind our analytics platforms. You will own the production data lake (Iceberg) and the Postgres warehouse, integrating graph data, and enabling GenAI workflows.

The role requires strong SQL, Python, and cloud infrastructure experience, plus collaboration with cross-functional teams across data, product, and security. Join a remote-friendly US team building ESG insights for a global customer base, with a focus on