DATAECONOMY · 11 hours ago
Data Engineer
Boston, MA
Full-time
Onsite
Senior Level
6+ years expDATAECONOMY is one of the fastest-growing Data & Analytics companies with a global presence. They are seeking an experienced Data Engineer with deep expertise in Neo4j and Cypher development to design, build, and deploy knowledge graphs, collaborating closely with cross-functional teams.
AnalyticsArtificial Intelligence (AI)Big DataCloud ComputingComputerData GovernanceData ManagementInformation ServicesInformation TechnologySoftware
Responsibilities
Design and implement knowledge graphs that accurately represent complex business domains, including ontology development, schema design, and entity‑relationship modeling
Develop, optimize, and maintain Cypher queries, procedures, and graph algorithms for both transactional and analytical workloads
Architect Neo4j solutions, including data ingestion pipelines, indexing strategies, and performance tuning
Collaborate with cross‑functional teams to translate business requirements into graph‑based solutions and integrate Neo4j with existing systems
Implement ETL/ELT processes to load structured and unstructured data into Neo4j using tools such as APOC, Graph Data Science (GDS), or custom pipelines
Ensure data quality, consistency, and governance across graph models and related systems
Monitor and maintain Neo4j environments, including clustering, backups, upgrades, and security configurations
Document graph models, design decisions, and best practices to support internal knowledge sharing
Qualification
Required
6+ years of hands‑on experience with Neo4j in production environments
Expert‑level proficiency in Cypher, including query optimization, pattern matching, and advanced graph operations
Proven experience designing and implementing knowledge graphs, ontologies, or semantic data models
Strong understanding of graph theory, graph algorithms, and data modeling principles
Experience with APOC procedures, GDS library, and Neo4j tooling
Familiarity with data integration frameworks (e.g., Kafka, Spark, Python ETL, GraphQL, REST APIs)
Solid understanding of database performance tuning, indexing, and query profiling
Proficiency in at least one programming language commonly used with Neo4j (e.g., Python, Java, JavaScript)
Benefits
Standard full-time benefits
Company
DATAECONOMY
Dataeconomy believes that the industry is pivotal, with considerable opportunities in re-imagining business models and scaling business.
201-500 employees
H1B Sponsorship
DATAECONOMY has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (57)
2024 (33)
2023 (68)
2022 (46)
2021 (21)
2020 (10)
Funding
Current Stage
Growth StageLeadership Team
Ravi Kopuri
Co-Founder and CEO
Reginald Mathews
Co-Founder and CTO
Company data provided by crunchbase