Senior Data Engineer

Worldly
United States
Workplace: RemoteFull timeUSD 135,000 - 165,000 annuallyFunction: Solutions Engineering & Sales EngineeringSkills: ["Incident triage","Root-cause analysis","Runbooks","Cross-functional collaboration","Agile"]

Build and operate a production data lake and Postgres data warehouse that power internal analytics and customer-facing ESG intelligence. Own end-to-end CDC ingestion to Apache Iceberg (medallion architecture) and run Trino query access with solid governance. Integrate graph databases with relational systems, extend GenAI workflows for embeddings and extraction, and maintain dbt/Dagster pipelines with strong data quality, lineage, and reliability.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Worldly
Worldly
1 hour ago

Senior Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Build and operate a production data lake and Postgres data warehouse that power internal analytics and customer-facing ESG intelligence. Own end-to-end CDC ingestion to Apache Iceberg (medallion architecture) and run Trino query access with solid governance. Integrate graph databases with relational systems, extend GenAI workflows for embeddings and extraction, and maintain dbt/Dagster pipelines with strong data quality, lineage, and reliability.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Own the production data lake (CDC ingestion to a medallion bronze/silver/gold architecture on Apache Iceberg) and support query access through Trino, including the table catalog.
  • •Operate and evolve the Postgres data warehouse (schema, performance, access controls) and build analytics-ready datasets with consistent schemas and lineage.
  • •Integrate graph databases with the warehouse, lake, and primary databases, migrating legacy pipelines to a governed integration layer with a shared write path.
  • •Maintain data orchestration and transformation: evolve Dagster-orchestrated dbt pipelines, enforce data quality tests, and deliver curated releases.
  • •Extend production GenAI/embeddings workflows for similarity search and LLM-based extraction/classification while monitoring pipeline health (latency SLAs, schema drift, reconciliation).
Travel: Low travel

Pay and Benefits

Salary: USD 135,000 - 165,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVision401kEquityParental LeavePaid LeaveRemote Work

Key Requirements

  • •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, integrating graph models with warehouses and lakes.
  • •Experience with open table formats and medallion lake architectures (e.g., Apache Iceberg) and distributed SQL engines (e.g., Trino, Presto).
  • •Hands-on streaming/CDC pipeline experience (e.g., Kafka or Pulsar, Debezium, Flink) and strong Python skills.
Skills:Incident triageRoot-cause analysisRunbooksCross-functional collaborationAgile
Tech Stack:Apache IcebergTrinoPrestoPostgresMongoDBCDCKafkaPulsarDebeziumFlinkPythonDagsterDbtAirflowAWSEKSVPCIAMS3Terraform

Company Brief

Worldly
Provides cross-border payment and payout solutions for businesses, enabling international transfers, multi-currency accounts, and local payouts to contractors and employees to simplify global payments and payroll operations.
Industry: Fintech Infrastructure
Website