Senior Data Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $135k - $165k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Worldly

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏭 Manufacturing

📦 Logistics

Consulting • Manufacturing • Logistics

Worldly is a leading provider of sustainability intelligence solutions for brands and manufacturers. The company helps businesses develop and scale sustainability programs by delivering real data about their supply chain, products, and operations. Worldly's platform includes tools for tracking factory impacts, ensuring regulatory compliance, and understanding product impacts through standardized frameworks like the Higg Index. Their services support environmental and social performance assessments, ESG reporting, and supply chain transparency. Worldly's clients benefit from improved visibility into their supply chains and actionable insights to enhance their sustainability performance and comply with emerging regulations.

📋 Description

• Build, operate, maintain, and evolve systems supporting internal analytics and customer-facing analytics platforms • Own the production CDC-fed medallion data lake on Apache Iceberg queried through Trino • Operate and evolve the Postgres data warehouse, including schema, performance, access controls, and analytics-ready datasets • Own CDC ingestion from source databases through message bus, streaming writer, and Iceberg bronze/silver/gold layers • Operate the Trino query layer and table catalog • Own pipeline health, including latency SLAs, schema-drift detection, and source reconciliation • Manage GitOps/Terraform infrastructure and backup/disaster-recovery posture • Establish consistent schemas, documented lineage, and clear ownership across the data estate • Maintain and evolve Dagster-orchestrated dbt pipelines, including sensor-triggered and scheduled builds, data-quality tests, and branch-based versioning • Operate the BI/reporting layer with per-user, policy-based data access and consistent metric definitions • Own pipelines integrating the graph database with the warehouse, lake, and primary databases • Migrate legacy direct-to-graph services onto a shared integration path and evolve relational structures into graph-native models • Support and extend production genAI workflows including embeddings/similarity search and LLM-based extraction and classification • Keep data infrastructure AI-ready • Collaborate with data science and cross-functional analytics stakeholders • Participate in incident triage, root-cause analysis, runbook development, and reliability improvements

🎯 Requirements

• 5+ years in data engineering, analytics engineering, or data platform engineering • Advanced SQL and relational database experience with Postgres and MongoDB • Hands-on graph database experience in production, including integration with warehouses and lakes • Experience with open table formats and medallion lake architectures such as Apache Iceberg • Experience with distributed SQL engines such as Trino or Presto • Experience with streaming/CDC pipelines such as Kafka or Pulsar, Debezium, and Flink or similar • Strong Python skills for pipelines, automation, and operational tooling • Experience with dbt orchestrated by a modern scheduler such as Dagster or Airflow • AWS infrastructure experience with EKS, VPC, IAM, and S3 via infrastructure-as-code such as Terraform • Experience with CI/CD, GitOps such as ArgoCD, and Docker • Experience with analytics data modeling, metric definitions, and automated monitoring/data-quality controls • Experience operating production data systems, including incident triage, root-cause analysis, runbooks, and reliability improvements • Comfortable working with cross-functional/analytics stakeholders using Jira/Confluence and Agile • Familiarity with data security practices including PII protection, encryption, and access management • Experience with BI tooling supporting per-user, policy-based data access is helpful • Experience with policy-based access control and identity platforms is helpful • Familiarity with multi-region data residency is helpful • Must be located in and legally eligible to work in the United States • Must have 5+ years of hands-on experience in data engineering, analytics engineering, or data platform engineering • Must have worked with graph databases in production and integrated them with data warehouses or data lakes • Must have direct experience building and maintaining data pipelines using streaming/CDC technologies

🏖️ Benefits

• Medical, Dental, and Vision Insurance through multiple PPO options; employer 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 • Performance-based bonuses • Office stipend • No-meeting Fridays • Flexible time off • Culture committee, coffee chats, and interest groups • Work-from-home stipends • Occasional travel for business needs