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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 26-Jul-26 Location: Boston, Massachusetts Categories: Academic/Faculty Computer/Information Sciences Internal Number
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in database systems, including: Relational databases (e.g., PostgreSQL / SQL) Graph databases (e.g., Neo4j, Memgraph, or equivalent) Familiarity with cloud computing environments (e.g., Azure, AWS
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., PostgreSQL / SQL) Graph databases (e.g., Neo4j, Memgraph, or equivalent) Familiarity with cloud computing environments (e.g., Azure, AWS, or GovCloud equivalents), including containerized or scalable ML
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for this role, now or in the future. Minimum Qualification Education Bachelor’s or master’s degree in computer science, Information Systems, Business Administration, or a related field. Experience 8–10
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(e.g., Neo4j, Memgraph, or equivalent) Familiarity with cloud computing environments (e.g., Azure, AWS, or GovCloud equivalents), including containerized or scalable ML workflows. Strong software
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of database systems, including: Relational databases (e.g., PostgreSQL / SQL) Exposure to graph databases (e.g., Neo4j, Memgraph, or similar) Familiarity with cloud computing environments (e.g., Azure, AWS
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, including: Relational databases (e.g., PostgreSQL / SQL) Graph databases (e.g., Neo4j, Memgraph, or equivalent) Familiarity with cloud computing environments (e.g., Azure, AWS, or GovCloud equivalents
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Qualifications Education: Bachelor's degree in Information Systems, Computer Science, Engineering, or a related field required Experience: 4–6+ years of experience building cloud-native data pipelines
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are typically acquired through the completion of a Bachelor's degree in Information Systems, Computer Science, Engineering, or a related field and ten or more years of progressive experience in data architecture
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Predictive AI and Generative AI use cases. Education & Experience Master’s degree (required) or Ph.D. (optional) in Computer Science, Engineering, Applied Mathematics, Statistics, or a closely related field. 0