[Remote] Senior Data Engineer

Note: The job is a remote job and is open to candidates in USA. Fusion Risk Management is a fast-growing, innovative company recognized for its supportive culture and commitment to operational resilience. They are seeking a Senior Data Engineer to architect and build a new graph-backed enterprise data platform, which will integrate and unify resilience data across various systems and environments.ResponsibilitiesArchitect and build Fusion’s next-generation data platform from the ground up, including a graph database layer, relational storage, and data lake componentsDesign and implement scalable ETL/ELT pipelines to ingest and transform data from customer environments, internal systems, and third-party platforms using managed connector frameworksBuild and maintain entity resolution pipelines that match, merge, and link records across disparate sources into a unified graph modelDesign and implement graph data models that represent operational dependencies, recovery sequences, and organizational relationships—supporting traversal queries across complex, multi-hop networksDevelop temporal and bitemporal data models that capture how entities and relationships change over time, enabling historical replay and audit-grade versioningEstablish best practices for data governance, quality, observability, lineage, and security across the platformBuild backend services and APIs that expose graph queries, entity lookups, and data capabilities to downstream applications and ML systemsSupport containerized deployment across both managed cloud and customer-hosted (reverse SaaS) environmentsPartner with product and engineering leadership to shape the long-term data platform roadmapSkillsBachelor's degree in Computer Science, Engineering, Information Systems, or a related field5+ years of experience in data engineering, backend data systems, or platform engineering rolesExperience building or significantly expanding a data platform or data infrastructure in a production environmentExperience working with graph, network, or highly relational data structures in a professional or academic settingExperience working in cloud-native environments (Azure preferred)Experience designing enterprise-grade integrations and connectorsStrong SQL expertise with experience designing performant data models and production-grade transformationsExperience with graph databases or network-oriented data problems—e.g., dependency mapping, supply chain graphs, knowledge graphs, social network analysis, or similar domains where relationships between entities are central to the data modelFamiliarity with graph query languages or traversal patterns (e.g., Gremlin, Cypher, SPARQL, or recursive SQL) and an understanding of when graph representations outperform relational modelsExperience with entity resolution, record linkage, or deduplication at scale—whether using probabilistic matching frameworks, deterministic rules, or ML-assisted approachesExperience building data lakes, warehouses, and distributed data systems from the ground upStrong understanding of ETL/ELT patterns, orchestration (e.g., Airflow, Dagster, dbt, or similar), and pipeline reliabilityExperience with open-source or self-hosted data infrastructure components and a pragmatic sense for build-vs-buy trade-offsExperience designing and implementing enterprise system integrations, connectors, and APIsStrong engineering fundamentals with focus on scalability, performance, monitoring, and securityExperience with entity resolution or record-matching techniques (nice to have)Experience with containerized deployments (Docker, Kubernetes) (nice to have)Familiarity with containerized deployments and orchestration (Docker, Kubernetes, Helm, or similar) (bonus)Experience with temporal or bitemporal data modeling patterns (bonus)Experience with Salesforce or ServiceNow data models and integrations (bonus)Strong Python or Java skills for building backend services (bonus)Familiarity with AI-assisted development tools (e.g., Copilot, Cursor, Claude Code, or similar) and comfort using them to accelerate engineering workflowsProduct-oriented mindset with the ability to make pragmatic architectural decisions in ambiguous, early-stage environmentsBenefitsThe position is also eligible for an annual bonus.Fusion offers a comprehensive benefits package including medical, dental, vision, and a 401(k) plan.Company OverviewFusion Risk Management provides cloud-based continuity risk management software, contingency planning solutions, and consulting services. It was founded in 2006, and is headquartered in Rolling Meadows, Illinois, USA, with a workforce of 201-500 employees. Its website is http://www.fusionrm.com/.Company H1B SponsorshipFusion Risk Management has a track record of offering H1B sponsorships, with 1 in 2024, 1 in 2023, 1 in 2020. Please note that this does not guarantee sponsorship for this specific role.