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Added 2 mins ago
9M
Electronics Technician - Cable & Harness Fabrication
9 Mothers
Austin, TX
- $75,000 to $95,000 USD / year
…turret for counter-UAS, and a proprietary belt-fed shotgun platform. Every prototype we field is an electromechanical system full of cable harnesses, wired compute and control boxes, and…
Added 3 mins ago
SOLUTION ENGINEER
Lumen
Little Rock, AR
…design and architect solutions utilizing our technology services platform. The successful Solution Engineer must have a strong desire to leverage their technical and sales skills, including…
Added 3 mins ago
C
GCP data Engineer
Cognizant
Little Rock, AR
- $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 3 mins ago
GA
Director, Architecture and Data
GE Aerospace
Little Rock, AR
- $152,000 to $202,000 USD / year
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Senior Workday Security Engineer
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Network Engineer I
Ashburn Consulting
Arlington, VA
- $65,000 to $75,000 USD / year
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Added 6 mins ago
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Sr. Network Development Engineer, IT Cloud & Infrastructure
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Remote, United States
- $100,000 to $155,000 USD / year
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Added 6 mins ago
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Senior Data Engineer, Data Transformation Platform
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- $160,000 to $175,000 USD / year
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Added 8 mins ago
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Sr. Staff DevOps Engineer with Clearance
Maxar Intelligence I
Westminster, CO
- $128,000 to $170,000 USD / year
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Added 10 mins ago
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Cloud Services DevOps Engineer
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- $108,000 USD / year
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Added 17 mins ago
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Director, Architecture and Data
GE Aerospace
Waukesha, WI
- $152,000 to $202,000 USD / year
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Added 17 mins ago
SOLUTION ENGINEER
Lumen
Madison, WI
…design and architect solutions utilizing our technology services platform. The successful Solution Engineer must have a strong desire to leverage their technical and sales skills, including…
Added 18 mins ago
C
GCP data Engineer
Cognizant
Madison, WI
- $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 18 mins ago
Senior Workday Security Engineer
CVS Health
Madison, WI
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Added 22 mins ago
Solutions Engineer - US
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Remote, United States
CertifyOS is building the data infrastructure that powers modern healthcare.
Added 34 mins ago
Network Infrastructure Manager
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Added 38 mins ago
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Software Engineer- Python & .NET
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Columbus, OH
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Added 41 mins ago
Software Engineer, Infrastructure - Ads Infra and Ranking
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Software Engineer, Systems ML
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Added 41 mins ago
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Network Dev Engineer II - AMZ10165500
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Seattle, WA
- $136,000 to $184,000 USD / year
…device hardware failures. Identify and troubleshoot recurring platform problems. Collaborate with internal teams to diagnose problems and return devices/configurations to a healthy state.…
Added 41 mins ago
Software Development Engineer, AWS Lambda EDA
Amazon
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…Our growing team in Seattle has an opening for an experienced engineer who can help us to bring better experience to customers for building data driven…
Added 42 mins ago
Senior Software Engineer - Platform Infrastructure
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Added 42 mins ago
RFID Store Design/Operations Engineer, RFID Program Management
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…in-store and back-of-house. Customers need help adapting their infrastructure, tools, and operations to maximize the value they can extract from JWO’s RFID technologies. The RFID Program…
Added 44 mins ago
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QA Engineer
Clera
San Francisco, CA
- $180,000 to $200,000 USD / year
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Added 47 mins ago
Flow Engineer
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Cognizant

GCP data Engineer

Madison, WI, 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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