Jobs in the United States

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Added 3 mins ago
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Machine Learning Engineer, AI
Biohub
Redwood City, CA
- $241,000 to $301,000 USD / year
As an ML Engineer, you'll join some of the strongest infrastructure engineers in AI, building the systems that connect everything together. The infrastructure problems you solve directly…
Added 3 mins ago
B
Machine Learning Engineer, AI
Biohub
NY
- $241,000 to $301,000 USD / year
As an ML Engineer, you'll join some of the strongest infrastructure engineers in AI, building the systems that connect everything together. The infrastructure problems you solve directly…
Added 5 mins ago
AT
Senior Network Engineer - DDoS
Akamai Technologies, Inc.
Bismarck, ND
- $112,500 to $202,500 USD / year
As a Senior Network Engineer, you will lead efforts in designing, implementing, and automating Akamai's global network infrastructure. You will address complex issues in routing, data…
Added 5 mins ago
C
GCP data Engineer
Cognizant
Bismarck, ND
- $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 5 mins ago
C
Senior Knowledge Graph & Ontology Architect
Cognizant
Bismarck, ND
- $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 5 mins ago
Senior Manager, Knowledge & Context Architecture
Teradata
Bismarck, ND
Our mission is to design the knowledge an enterprise runs on, engineer the context its AI agents need, and prove that context can be trusted. This helps make Teradata's vision for an…
Added 10 mins ago
Strategic Mission Systems Engineer
General Dynamics Information Technology
Offutt AFB, NE
Must have a current/active Top Secret clearance with ability to obtain TS/SCI and a CI Poly
Added 10 mins ago
Strategic Mission Systems Engineer
General Dynamics Information Technology
Offutt AFB, NE
Must have a current/active Top Secret clearance with ability to obtain TS/SCI and a CI Poly
Added 10 mins ago
C
Senior Knowledge Graph & Ontology Architect
Cognizant
Lincoln, NE
- $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 10 mins ago
AT
Senior Network Engineer - DDoS
Akamai Technologies, Inc.
Lincoln, NE
- $112,500 to $202,500 USD / year
As a Senior Network Engineer, you will lead efforts in designing, implementing, and automating Akamai's global network infrastructure. You will address complex issues in routing, data…
Added 10 mins ago
C
GCP data Engineer
Cognizant
Lincoln, NE
- $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 10 mins ago
Senior Manager, Knowledge & Context Architecture
Teradata
Lincoln, NE
Our mission is to design the knowledge an enterprise runs on, engineer the context its AI agents need, and prove that context can be trusted. This helps make Teradata's vision for an…
Added 19 mins ago
CH
Forward Deployed AI Engineer
Circadia Health
United States
- $90,000 to $120,000 USD / year
As our Forward Deployed AI Engineer, you’ll sit at the point where Circadia’s AI meets our customers’ day-to-day care operations. You’ll work hands-on with skilled-nursing, home-health and…
Added 20 mins ago
Google Cloud Engineer, Experienced Associate
PwC
Las Vegas, NV
What You Must Have
Added 20 mins ago
Senior Associate, Azure AI Engineer
PwC
Las Vegas, NV
What You Must Have
Added 20 mins ago
Google Cloud Engineer - Senior Associate
PwC
Las Vegas, NV
What You Must Have
Added 20 mins ago
Senior Manager, Agentic AI Engineer
PwC
Las Vegas, NV
What You Must Have
Added 24 mins ago
Senior Data Engineer
Principal Mineral Holdings
CAMDEN, SC
As a Senior Data Engineer, you’ll be a foundational builder of our Databricks lakehouse, turning fragmented information into production-grade pipelines and reliable data assets that support…
Added 24 mins ago
DevOps / MLOps Engineer
Principal Mineral Holdings
CAMDEN, SC
The DevOps / MLOps Engineer owns the Databricks platform that our data team builds on: infrastructure, deployment pipelines, access controls, and ML operations. You will help keep the…
Added 42 mins ago
Principal Engineer, Privacy
Anthropic PBC
Seattle, WA
A track record of operating as a Principal engineer or equivalent: setting technical direction that multiple teams adopted, and delivering company-critical, multi-year initiatives
Added 53 mins ago
Sr. Consulting Manager- Logistics Consulting
Cognizant
Liberty Hill, TX
What You Must Have to Be Considered
Added 53 mins ago
Computer Vision & MLOps Engineer
ARTIDIS
Remote, United States
Proficiency in Python data stack (TensorFlow, PyTorch, numpy, pandas, scikit-learn).
Added 53 mins ago
Site Reliability Engineer
Charles Schwab
Southlake, TX
…that support clients around the clock. As a Site Reliability Engineer, you will partner across application engineering, architecture, platform, cybersecurity, and support teams to improve…
Added 55 mins ago
Data Engineer I-SR
Entergy
The Woodlands, TX
We are seeking a skilled Data Engineer to oversee the design, construction and maintenance of data infrastructure and pipelines to further enable data-driven decision-making across the…
Added 55 mins ago
CMP/Wet/YE Ramp Process Engineer (SM1)
Texas Instruments
Sherman, TX
Texas Instruments is looking for an energetic engineer with a passion for process. This position provides the opportunity to drive continual improvement at all levels. Our team is primarily…

Cognizant

GCP data Engineer

Lincoln, NE, 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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Jobs in the United States