Jobs
Jobs
35,070 jobs found
Loading more...
Deloitte
Cyber Engineering Manager - Incident Response
Source: National Labor Exchange
Deloitte
Client and Business Cyber Services Associate Director - BISO
Source: National Labor Exchange
Deloitte
Specialist Lead - Digital Forensics & Investigations
Source: National Labor Exchange
Deloitte
Consultant Cyber Engineering - Data Protection
Source: National Labor Exchange
Deloitte
Consultant Cyber Engineering - Data Protection
Source: National Labor Exchange
Ascension Health
Senior Director of Nursing Practice
Source: National Labor Exchange
Ascension Health
Administrative Fellow
Source: National Labor Exchange
Ascension Health
Organizational Design Lead
Source: National Labor Exchange
Ascension Health
Administrative Fellow
Source: National Labor Exchange
The Hartford
Associate Director, Product Management - Alternative Distribution
Source: National Labor Exchange
Under Armour, Inc.
Sales Associate
Source: National Labor Exchange
Verint Systems, Inc.
Solution Consultant WFM
Source: National Labor Exchange
Energizer Holdings, Inc.
Assistant Manager, Shopper Marketing Activation
Source: National Labor Exchange
WCG Clinical
Business Development, Associate Director
Source: National Labor Exchange
Cognizant
Data Quality Engineer (Databricks & dbt)
Source: National Labor Exchange
Cognizant
Program Manager/ Implementation Lead (Ketryx)
Source: National Labor Exchange
Cognizant
Program Manager / Implementation Lead (Ketryx)
Source: National Labor Exchange
Cognizant
Senior Knowledge Graph & Ontology Architect
Source: National Labor Exchange
Cognizant
Cognizant Workday - Human Capital Management Associate Consultant
Source: National Labor Exchange
Cognizant
Consultant Incubator (COIN) Analyst
Source: National Labor Exchange
Cognizant
Senior Network Engineer
Source: National Labor Exchange
Cognizant
GCP data Engineer
Source: National Labor Exchange
Winland Foods
Sanitation Safety Hero
Source: National Labor Exchange
Winland Foods
Human Resources Manager
Source: National Labor Exchange
Winland Foods
Entry Mill Team Member
Source: National Labor Exchange
American Express Global Business Travel
Manager, Mid-Market Growth NA
Source: National Labor Exchange
HCA Healthcare
CT Technologist PRN
Source: National Labor Exchange
Wells Fargo
Lead Wealth Underwriter - Specialty Finance Group
Source: National Labor Exchange
Otsuka America Pharmaceutical Inc.
Field Reimbursement Manager (FRM) - Rockies
Source: National Labor Exchange
ADI Global Distribution
Merchandise Shipping/Receiving Associate
Source: National Labor Exchange
Cornerstone onDemand
Workforce Intelligence Sales Executive
Source: National Labor Exchange
The Hertz Corporation
High Volume Talent Acquisition Partner
Source: National Labor Exchange
Henkel
Network Supply Planning Specialist
Source: National Labor Exchange
RELX INC
Product Mgr II
Source: National Labor Exchange
Navitus Health Services
Sr. Staff Attorney (Regulatory)
Evolent
Supervisor, Customer Service
Source: National Labor Exchange
CBRE
Building Engineer
Source: National Labor Exchange
CBRE
Building Engineer
Source: National Labor Exchange
CBRE
Sr. Maintenance Technician
Source: National Labor Exchange
CBRE
Sr. Maintenance Technician
Source: National Labor Exchange
Loading more...
Job ID #109656
Cognizant
GCP data Engineer
location_on
Jefferson City, MO
description
Summary
Role Overview
Cognizant is seeking an experienced Knowledge Graph Data Engineer to build and operate the connectivity, profiling, and graph/search foundation that powers enterprise ontology and knowledge management platforms.
In this role, you will be responsible for transforming raw operational and master data sources into clean, lineage-tracked, governed, and queryable knowledge assets. You will design and support data connectivity, metadata management, graph platforms, ingestion frameworks, and search capabilities that enable scalable knowledge discovery and enterprise intelligence solutions.
The ideal candidate will possess strong expertise in Google Cloud Platform (GCP), data engineering, metadata management, graph technologies, data lineage, and scalable ingestion architectures.
Work Model
This position is fully remote within the United States , providing flexibility while collaborating with globally distributed teams across multiple locations and time zones.
Occasional travel may be required for client workshops, planning sessions, architecture reviews, and strategic initiatives.
Key Responsibilities
Data Connectivity & Integration
+ Design, develop, and maintain connectivity solutions for enterprise data sources.
+ Build adapters and integration frameworks supporting:
+ BigQuery
+ Cloud SQL
+ REST APIs
+ Apigee
+ Google Cloud Storage (GCS)
+ Pub/Sub
+ Establish scalable and reliable ingestion patterns for operational, transactional, and master data systems.
+ Support API-based integrations across enterprise applications and data platforms.
Data Profiling & Metadata Management
+ Profile enterprise data to assess:
+ Data Quality
+ Completeness
+ Statistical Patterns
+ Dependencies
+ Data Relationships
+ Source System Characteristics
+ Develop data discovery frameworks that support ontology and semantic model development.
+ Build metadata management processes supporting data governance, traceability, and analytics.
+ Surface data quality issues and metadata findings to architecture and business teams.
Knowledge Graph & Search Platform Engineering
+ Design and operate the enterprise Knowledge Core supporting graph-based data exploration and search.
+ Implement graph and knowledge management platforms utilizing:
+ Spanner Graph
+ Neo4j
+ Amazon Neptune
+ TigerGraph
+ RDF/SPARQL Technologies
+ Equivalent Graph Platforms
+ Support graph data modeling, relationship management, and semantic search capabilities.
+ Enable enterprise-scale graph analytics and knowledge discovery use cases.
Batch & Streaming Data Engineering
+ Build and maintain batch and real-time data pipelines that continuously synchronize source data with graph and catalog platforms.
+ Design ingestion architectures utilizing:
+ Dataflow
+ Apache Beam
+ Pub/Sub
+ Cloud Composer
+ Event-Driven Architectures
+ Ensure data pipelines remain scalable, resilient, and cost-efficient.
+ Support near real-time updates across ontology and knowledge graph environments.
Data Governance, Quality & Lineage
+ Implement automated data quality controls and validation frameworks.
+ Support schema discovery and metadata catalog capabilities.
+ Capture and maintain end-to-end data lineage from source systems through graph and ontology representations.
+ Establish governance controls including:
+ IAM Policies
+ Encryption Standards
+ Metadata Tracking
+ Lineage Instrumentation
+ Partner with architecture and governance teams to ensure compliance with enterprise standards.
Ontology & AI Enablement
+ Support ontology mapping activities by providing:
+ Profiled Schemas
+ Data Dependency Maps
+ Sample Data Sets
+ Metadata Context
+ Deliver curated and well-profiled datasets supporting machine learning and entity-resolution initiatives.
+ Collaborate with Data Scientists and Applied AI teams to improve data quality and knowledge graph accuracy.
+ Enable graph-based AI use cases, entity matching, semantic search, and inference capabilities.
Monitoring, Reliability & Optimization
+ Monitor platform health, ingestion jobs, graph-processing workloads, and metadata services.
+ Troubleshoot data and pipeline issues and implement preventative solutions.
+ Optimize performance, scalability, and operational efficiency across the platform stack.
+ Manage cost optimization initiatives across cloud infrastructure and processing workloads.
Required Qualifications
+ Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related discipline, or equivalent work experience.
+ 5+ years of experience in Data Engineering or Data Platform Engineering.
+ Proven experience building large-scale ingestion, metadata, and data management solutions.
+ Strong expertise in:
+ Python
+ SQL
+ Hands-on experience with Google Cloud Platform (GCP), including:
+ BigQuery
+ Dataflow
+ Pub/Sub
+ Cloud Composer
+ Cloud SQL
+ Google Cloud Storage (GCS)
+ Experience implementing:
+ Data Profiling
+ Data Lineage
+ Metadata Management
+ Data Quality Frameworks
+ Experience with graph technologies, including one or more of:
+ Spanner Graph
+ Neo4j
+ Amazon Neptune
+ TigerGraph
+ JanusGraph
+ RDF/SPARQL Platforms
+ Experience writing graph queries using:
+ Cypher
+ Gremlin
+ SPARQL
+ Equivalent Graph Query Languages
+ Strong understanding of data governance and metadata management principles.
+ Excellent troubleshooting, analytical, and problem-solving skills.
Preferred Qualifications
+ Hands-on experience with Spanner Graph.
+ Experience within telecommunications environments.
+ Knowledge of:
+ OSS/BSS Systems
+ TM Forum SID
+ eTOM Frameworks
+ Experience with Apigee or enterprise API management platforms.
+ Google Cloud Professional Data Engineer Certification.
+ Experience building semantic search, knowledge graph, or ontology-based solutions.
+ Familiarity with vector search technologies and retrieval architectures.
+ Experience supporting AI, knowledge management, or graph-powered analytics initiatives.
Technical Expertise
Candidates should demonstrate expertise in:
+ Google Cloud Platform (GCP)
+ BigQuery
+ Cloud SQL
+ Dataflow
+ Pub/Sub
+ ...
Cognizant is seeking an experienced Knowledge Graph Data Engineer to build and operate the connectivity, profiling, and graph/search foundation that powers enterprise ontology and knowledge management platforms.
In this role, you will be responsible for transforming raw operational and master data sources into clean, lineage-tracked, governed, and queryable knowledge assets. You will design and support data connectivity, metadata management, graph platforms, ingestion frameworks, and search capabilities that enable scalable knowledge discovery and enterprise intelligence solutions.
The ideal candidate will possess strong expertise in Google Cloud Platform (GCP), data engineering, metadata management, graph technologies, data lineage, and scalable ingestion architectures.
Work Model
This position is fully remote within the United States , providing flexibility while collaborating with globally distributed teams across multiple locations and time zones.
Occasional travel may be required for client workshops, planning sessions, architecture reviews, and strategic initiatives.
Key Responsibilities
Data Connectivity & Integration
+ Design, develop, and maintain connectivity solutions for enterprise data sources.
+ Build adapters and integration frameworks supporting:
+ BigQuery
+ Cloud SQL
+ REST APIs
+ Apigee
+ Google Cloud Storage (GCS)
+ Pub/Sub
+ Establish scalable and reliable ingestion patterns for operational, transactional, and master data systems.
+ Support API-based integrations across enterprise applications and data platforms.
Data Profiling & Metadata Management
+ Profile enterprise data to assess:
+ Data Quality
+ Completeness
+ Statistical Patterns
+ Dependencies
+ Data Relationships
+ Source System Characteristics
+ Develop data discovery frameworks that support ontology and semantic model development.
+ Build metadata management processes supporting data governance, traceability, and analytics.
+ Surface data quality issues and metadata findings to architecture and business teams.
Knowledge Graph & Search Platform Engineering
+ Design and operate the enterprise Knowledge Core supporting graph-based data exploration and search.
+ Implement graph and knowledge management platforms utilizing:
+ Spanner Graph
+ Neo4j
+ Amazon Neptune
+ TigerGraph
+ RDF/SPARQL Technologies
+ Equivalent Graph Platforms
+ Support graph data modeling, relationship management, and semantic search capabilities.
+ Enable enterprise-scale graph analytics and knowledge discovery use cases.
Batch & Streaming Data Engineering
+ Build and maintain batch and real-time data pipelines that continuously synchronize source data with graph and catalog platforms.
+ Design ingestion architectures utilizing:
+ Dataflow
+ Apache Beam
+ Pub/Sub
+ Cloud Composer
+ Event-Driven Architectures
+ Ensure data pipelines remain scalable, resilient, and cost-efficient.
+ Support near real-time updates across ontology and knowledge graph environments.
Data Governance, Quality & Lineage
+ Implement automated data quality controls and validation frameworks.
+ Support schema discovery and metadata catalog capabilities.
+ Capture and maintain end-to-end data lineage from source systems through graph and ontology representations.
+ Establish governance controls including:
+ IAM Policies
+ Encryption Standards
+ Metadata Tracking
+ Lineage Instrumentation
+ Partner with architecture and governance teams to ensure compliance with enterprise standards.
Ontology & AI Enablement
+ Support ontology mapping activities by providing:
+ Profiled Schemas
+ Data Dependency Maps
+ Sample Data Sets
+ Metadata Context
+ Deliver curated and well-profiled datasets supporting machine learning and entity-resolution initiatives.
+ Collaborate with Data Scientists and Applied AI teams to improve data quality and knowledge graph accuracy.
+ Enable graph-based AI use cases, entity matching, semantic search, and inference capabilities.
Monitoring, Reliability & Optimization
+ Monitor platform health, ingestion jobs, graph-processing workloads, and metadata services.
+ Troubleshoot data and pipeline issues and implement preventative solutions.
+ Optimize performance, scalability, and operational efficiency across the platform stack.
+ Manage cost optimization initiatives across cloud infrastructure and processing workloads.
Required Qualifications
+ Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related discipline, or equivalent work experience.
+ 5+ years of experience in Data Engineering or Data Platform Engineering.
+ Proven experience building large-scale ingestion, metadata, and data management solutions.
+ Strong expertise in:
+ Python
+ SQL
+ Hands-on experience with Google Cloud Platform (GCP), including:
+ BigQuery
+ Dataflow
+ Pub/Sub
+ Cloud Composer
+ Cloud SQL
+ Google Cloud Storage (GCS)
+ Experience implementing:
+ Data Profiling
+ Data Lineage
+ Metadata Management
+ Data Quality Frameworks
+ Experience with graph technologies, including one or more of:
+ Spanner Graph
+ Neo4j
+ Amazon Neptune
+ TigerGraph
+ JanusGraph
+ RDF/SPARQL Platforms
+ Experience writing graph queries using:
+ Cypher
+ Gremlin
+ SPARQL
+ Equivalent Graph Query Languages
+ Strong understanding of data governance and metadata management principles.
+ Excellent troubleshooting, analytical, and problem-solving skills.
Preferred Qualifications
+ Hands-on experience with Spanner Graph.
+ Experience within telecommunications environments.
+ Knowledge of:
+ OSS/BSS Systems
+ TM Forum SID
+ eTOM Frameworks
+ Experience with Apigee or enterprise API management platforms.
+ Google Cloud Professional Data Engineer Certification.
+ Experience building semantic search, knowledge graph, or ontology-based solutions.
+ Familiarity with vector search technologies and retrieval architectures.
+ Experience supporting AI, knowledge management, or graph-powered analytics initiatives.
Technical Expertise
Candidates should demonstrate expertise in:
+ Google Cloud Platform (GCP)
+ BigQuery
+ Cloud SQL
+ Dataflow
+ Pub/Sub
+ ...
Do You Have a MO Jobs Account?
Your HireMO account is created from your MO Jobs account, so we need to connect the two.
Already have an account?
Sign In
First, Let's Find Your MO Jobs Account
HireMO works together with MO Jobs, the State of Missouri jobs website.
Create an Account to Apply
Your MO Jobs account is connected. Choose an email and password to sign in to HireMO.
You Need a MO Jobs Account First
HireMO works together with MO Jobs, the State of Missouri jobs website. You need a MO Jobs account before you can create your HireMO account.
- Create your MO Jobs account at jobs.mo.gov. It is free.
- Log in to MO Jobs, then click HireMO from there. That link brings you back here to finish your registration.
- Complete your HireMO account.