{"id":1001555,"url":"https://alion.io/job/worldly-senior-data-engineer","title":"Senior Data Engineer","company":{"id":689601,"name":"Worldly","domain":"worldly.io","url":"https://alion.io/company/worldly","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":135000,"max":165000,"currency":"USD","period":"year","gross":null,"usd_annual":165000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Agile","optional":false},{"name":"Airflow","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Apache Pulsar","optional":false},{"name":"ArgoCD","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Dagster","optional":false},{"name":"dbt","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"Flink","optional":false},{"name":"GitOps","optional":false},{"name":"IAM","optional":false},{"name":"Keycloak","optional":false},{"name":"LLM","optional":false},{"name":"NLP","optional":false},{"name":"Platform Engineering","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Presto","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Superset","optional":false},{"name":"Terraform","optional":false},{"name":"Trino","optional":false},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-09-17T04:39:16Z","employer_posted_date":"2026-09-17","last_verified_at":"2026-11-06T23:07:31Z","board_verified":true,"closed_at":null,"days_open":50,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":50},"description":"Senior Data Engineer\nLocation: Remote - US\nAbout Worldly\nWorldly is the world's most comprehensive impact intelligence platform - delivering real data to businesses on impacts within their supply chain. Worldly is trusted by 40,000 global brands, retailers, and manufacturers to provide the single source of ESG intelligence they need to accelerate business and industry transformation.\nThrough strategic and meaningful customer relationships, Worldly provides key insights into supplier performance, product impact, trends analysis, and compliance. When a company wants to change how business is done, we enable that systemic shift.\nBacked by a dedicated global team of individuals aligned by values, Worldly proudly operates as a public benefit corporation with backing from mission-aligned investors. Want to learn more? Read our story.\nAbout the Opportunity\nWorldly 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.\nIn this role, you will:\nOwn 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.\n\nPlay 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.\n\nApply generative AI and embeddings-based techniques already running in production (e.g., entity matching, document extraction) to keep expanding what our data can do.\n\nWhat You'll Do\n Data Warehouse & Data Lake\nOperate and evolve our Postgres data warehouse (schema, performance, access controls) and build analytics-ready datasets from it.\n\nOwn the lake end-to-end: CDC ingestion (source database → message bus → streaming writer → Iceberg bronze/silver/gold), the Trino query layer, and the table catalog.\n\nOwn pipeline health - latency SLAs, schema-drift detection, source reconciliation - and the GitOps/Terraform infrastructure and backup/DR posture underneath it.\n\nBring consistent schemas, documented lineage, and clear ownership to a data estate that's grown quickly through acquisitions.\n\n Orchestration, Transformation & Reporting\nMaintain and evolve our Dagster-orchestrated dbt pipelines: sensor-triggered and scheduled builds, data quality tests, branch-based versioning for curated releases.\n\nOperate our BI/reporting layer, including per-user, policy-based data access enforced at the query engine (not just the dashboard), and consistent metric definitions across dashboards.\n\nGraph Integration\nOwn pipelines integrating the graph database with the warehouse, lake, and primary databases, working within canonical data models and a single write path.\n\nPartner with data science to migrate legacy direct-to-graph services onto that shared path, and to evolve relational structures into graph-native models.\n\nGenAI/NLP Enablement\nSupport and extend production genAI workflows - embeddings/similarity search, LLM-based extraction and classification - and keep our data infrastructure \"AI-ready.\"\n\nWe'd Like to See\n5+ years in data engineering, analytics engineering, or data platform engineering.\n\nAdvanced SQL and relational database experience (Postgres, MongoDB).\n\nHands-on graph database experience in production, including integrating graph models with warehouses and lakes - core, not peripheral, to this role.\n\nExperience with open table formats and medallion lake architectures (e.g., Apache Iceberg) and distributed SQL engines (e.g., Trino, Presto).\n\nExperience with streaming/CDC pipelines (e.g., Kafka or Pulsar, Debezium, Flink or similar).\n\nStrong Python skills for pipelines, automation, and operational tooling.\n\nExperience with dbt orchestrated by a modern scheduler (e.g., Dagster, Airflow).\n\nAWS infrastructure experience (EKS, VPC, IAM, S3) via infrastructure-as-code (e.g., Terraform), plus CI/CD, GitOps (e.g., ArgoCD), and Docker.\n\nExperience with analytics data modeling, metric definitions, and automated monitoring/data-quality controls.\n\nExperience operating production data systems: incident triage, root-cause analysis, runbooks, reliability improvements.\n\nComfortable working with cross-functional/analytics stakeholders (Jira/Confluence, Agile).\n\nFamiliarity with data security practices (PII protection, encryption, access management).\n\nIt Helps If You Have\nExperience with BI tooling supporting per-user, policy-based data access (e.g., Superset with SSO impersonation).\n\nExperience with policy-based access control (e.g., OPA) and identity platforms (e.g., Keycloak).\n\nFamiliarity with multi-region data residency (e.g., separate EU/China data handling).\n\nWhat We Can Offer You\nMedical, Dental, and Vision Insurance are offered through multiple PPO options. Worldly covers 90% of employee premiums and 60% of spouse/dependent premiums.\n\nCompany-sponsored 401k with up to 4% match for US employees.\n\nIncentive Stock Options.\n\n100% Parental Paid Leave.\n\nUnlimited PTO.\n\n12 paid company holidays.\n\nLife at Worldly\nOur team is motivated to transform the way products are made. By helping our customers succeed in a new era of sustainable production, we can build technology that makes a difference on a planetary level.\nOur team represents over 15 countries and brings unique experiences from technology to farming to the table. Surround yourself with kind, enthusiastic, and dedicated people who put collaboration and growth at the center of our shared goals.\nBenefits and Perks\nEarn a competitive salary and performance-based bonuses. Get healthcare, retirement matching, and equity for US employees.\n\nUse the office stipend to get the supplies you need-combat Zoom fatigue with no-meeting Fridays.\n\nFlexible time off. Take the time you need to recharge. Our culture encourages team members to explore and rest to be their best selves.\n\nWe're remote, not lonely. Join the culture committee, coffee chats, or a variety of other interest groups.\n\nTravel Notice\nRoles at Worldly may require occasional travel to support business needs, including but not limited to team collaboration, customer engagement, or company events.\nEquity Statement\nWe believe reflecting the diversity of those we strive to serve is essential. True innovation happens when everyone has room at the table, including the tools, resources, and opportunity to excel. We're dedicated to building a culturally and experientially diverse team that leads and works with empathy and respect.\nCompensation Overview\nAnnual Base Rate (USD): $135,000 - $165,000\n10% Annual Bonus\nIncentive Stock Option Package\nWork-From-Home Stipends\n*Final compensation figures will be determined based on a wide variety of factors, including experience and location. 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