Jobs in the United States

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Added 9 mins ago
DevOps Engineer | Luma
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Dotmatics is seeking a DevOps Engineer to join our team working on ground-breaking Scientific Software products such as Luma. In this role, you will have the opportunity to apply your…
Added 10 mins ago
Senior Data Engineer - MongoDB and PostgreSQL
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Principal Systems Engineer / Senior Principal Systems Engineer
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Added 13 mins ago
Software Engineer
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This job is an integral member of an agile software engineer team responsible for building complex scalable software applications across all digital channels to serve our customers. The…
Added 13 mins ago
C
GCP data Engineer
Cognizant
Tallahassee, FL
- $100,000 to $120,000 USD / year
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…
Added 13 mins ago
Senior Network Engineer
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Senior Network Engineer - DDoS
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- $112,500 to $202,500 USD / year
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Added 13 mins ago
Senior Manager, Knowledge & Context Architecture
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Software Engineer [Multiple Position Available]
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…building scalable, resilient systems using technologies such as Python, Kubernetes, and Kafka, while ensuring compliance with public cloud frameworks and cybersecurity controls. Conduct…
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Mechanical Engineer
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Water Resources Scientist/Engineer
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Engineer II, Google Cloud
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Tampa, FL · Boca Raton, FL · Miami, FL · Jacksonville, FL · Orlando, FL
What You Must Have
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Google Cloud Engineer - Senior Associate
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Senior Manager, Agentic AI Engineer
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Google Cloud Engineer, Experienced Associate
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Tampa, FL · Boca Raton, FL · Miami, FL · Jacksonville, FL · Orlando, FL
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Senior Associate, Azure AI Engineer
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Tampa, FL · Boca Raton, FL · Orlando, FL · Miami, FL · Jacksonville, FL
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Added 24 mins ago
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Civil Engineer
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Sacramento, CA
- $106,335 to $142,737 USD / year
You will serve as a Civil Engineer with the Bureau of Reclamation, Bay Delta Office responsible for developing and applying hydrologic and water-operations models to support planning and…
Added 26 mins ago
Senior/Principal Software Engineer - Cryptography & Post-Quantum Security (Multiple Roles)
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South District, IL · North District, IL
…considered for a high-impact role (at either the Senior Software Engineer or Principal Software Engineer…
Added 36 mins ago
Junior HPC Applications Engineer
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Parallel Works is hiring a Junior HPC Applications Engineer to support the researchers and engineers running work on our platforms. The role handles first line support: build failures,…
Added 38 mins ago
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Senior Platform Software Engineer - Oracle Health | US Citizens & Green Card Holders Only
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Jefferson City, MO
- $87,800 to $209,500 USD / year
…platform. We are seeking a highly skilled Principal Software Engineer to join our Clinical Applications Engineering team focused on modernizing provider workflows, inbox management, and…
Added 41 mins ago
Senior Detection Engineer
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Added 44 mins ago
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Senior II Software Engineer
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Added 46 mins ago
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Senior Knowledge Graph & Ontology Architect
Cognizant
Jefferson City, MO
- $130,000 to $160,000 USD / year
+ Strong proficiency in Python and SQL, with working knowledge of Google Cloud Platform services including BigQuery, Dataplex, and Vector Search.
Added 46 mins ago
C
Data Quality Engineer (Databricks & dbt)
Cognizant
Jefferson City, MO
- $70,000 to $117,000 USD / year
We are seeking a Data Quality Engineer to ensure the accuracy, consistency, and reliability of enterprise data platforms. The ideal candidate will design and automate data quality testing…

Cognizant

GCP data Engineer

Tallahassee, FL, United States

$100,000 to $120,000 USD / year

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Job details

Pay: $100,000 to $120,000 USD / year
Experience: 5+ years of experience in Data Engineering or Data Platform Engineering.
Posting language: English
Posted: Nov 9, 2026

Original job description

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
Cloud Composer
Dataplex
Spanner Graph
Neo4j
Amazon Neptune
TigerGraph
RDF/SPARQL
Metadata Management
Data Lineage
Data Quality
Knowledge Graphs
Semantic Search
Vector Search
Python
SQL
API Integration
Data Governance

Salary and Other Compensation

The annual salary for this position is anticipated to be between $100,000 and $120,000 USD , depending on experience, qualifications, geographic location, and other factors permitted by law.

In addition to base salary, this position may be eligible for:

Annual performance-based bonus
Merit-based compensation increases
Employee referral bonuses, where applicable

The compensation information provided is accurate as of the date of this posting. Cognizant reserves the right to modify compensation information based on business needs and applicable laws.

Benefits

Cognizant offers a comprehensive benefits package, including:

Medical, Dental, and Vision Insurance
Health Savings Account (HSA) and Flexible Spending Accounts (FSA)
Life Insurance and AD&D Coverage
Short-Term and Long-Term Disability Insurance
Paid Time Off (PTO) and Company Holidays
401(k) Plan with Company Contributions (subject to eligibility)
Employee Stock Purchase Plan (where available)
Employee Assistance Program (EAP)
Parental Leave and Family Care Benefits
Tuition Reimbursement and Professional Development Programs
Access to Learning, Certification, and Career Development Opportunities

Benefits are subject to eligibility requirements and plan terms.

Why Cognizant

Build next-generation knowledge graph and ontology platforms.
Work with cutting-edge graph, metadata, cloud, and AI technologies.
Collaborate with architects, data scientists, and platform engineering teams on enterprise-scale initiatives.
Gain exposure to advanced semantic search, vector search, and AI-powered knowledge management solutions.
Access industry-leading learning, cloud certifications, and career development programs.
Join a global organization committed to innovation, engineering excellence, and digital transformation.

Equal Opportunity Employer

Cognizant is an equal opportunity employer. We are committed to fostering an inclusive workplace where all associates feel valued, respected, and empowered to contribute their unique perspectives. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, or any other characteristic protected by applicable law.

Applications will be accepted until the position is filled.

Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

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More about this job

Skills

Google Cloud
Data engineering
BigQuery
SQL
API development
Neo4j
SPARQL
Data modelling
Identity and access management
Regulatory compliance
Machine learning
Troubleshoot
Computer science
Data management
Python
Query languages
Troubleshooting
Problem solving
BSS

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Work requirements

Jobs in the United States