Pay
Lower than most similar jobs
$80K–$140K against $127K–$190K, the middle half of what similar US postings state.
From 2,160 postings in the last year. Stated ranges, not salaries paid.
Senior GCP Data Engineer (Remote)
Phoenix, Arizona, United States
Actively hiring, first seen by us 1 day ago- Pay
$80,000–140,000/year — pay source
Applications will be accepted until Dec 06, 2026. The annual salary for this position is between $80,000 - $140,000 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingBuild the connectivity, profiling, and graph/search backbone that the ontology runs on — turning raw source systems into clean, lineage-tracked, query able knowledge.
Build and maintain adapters connecting master data and work-ticket APIs to GCP services
Profile source data for quality, patterns, dependencies, and lineage before ontology mapping
Stand up and operate the graph and search backbone on Spanner Graph or equivalent, plus Vector Search
Build batch and streaming ingestion pipelines that keep the graph and catalog current
Implement data quality checks, schema discovery, and the metadata catalog
From the employer’s posting
Build the connectivity, profiling, and graph/search backbone that the ontology runs on — turning raw source systems into clean, lineage-tracked, query able knowledge.
Own data source connectivity: build and maintain adapters to connect master data and work-ticket APIs
profile source data for quality, statistical patterns, dependencies, and lineage ahead of ontology mapping
Stand up and operate the Knowledge Core — the graph and search backbone — using Spanner Graph (or an equivalent property-graph/RDF platform), Dataplex, BigQuery, and Vector Search.
Build batch and streaming ingestion pipelines that keep the graph and catalog current as source systems change.
Implement data quality checks, schema discovery, and the metadata catalog
What you’ll bring
All qualificationsCore experience
- 5+ years in data engineering, including building ingestion and metadata pipelines at scale.
- Hands-on experience with GCP data services: BigQuery, Dataflow, Pub/Sub, Composer, Cloud SQL, GCS.
- Experience with data profiling, lineage, and metadata catalog tooling (e.g., Dataplex or equivalent).
Qualification wording
5+ years in data engineering, including building ingestion and metadata pipelines at scale.
Hands-on experience with GCP data services: BigQuery, Dataflow, Pub/Sub, Composer, Cloud SQL, GCS.
Experience with data profiling, lineage, and metadata catalog tooling (e.g., Dataplex or equivalent).
Posting record
Report an errorActively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 7, 20261 day ago
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 1
Early. Similar jobs usually come down between day 6 and day 54.
At Cognizant, jobs usually come down by about day 21.
From 11,508 similar postings that came down, and 391 of Cognizant’s. Coming down is not always a hire.
Cognizant is hiring
142 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Engineer hiring is picking up
- Takes jobs down quickly
- 5% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- BigQuery
- GCP
- Google Cloud Storage
- Neo4j
Where the posting names them
• 5+ years in data engineering, including building ingestion and metadata pipelines at scale. • Strong Python and SQL. • Hands-on experience with GCP data services: BigQuery, Dataflow, Pub/Sub, Composer, Cloud SQL, GCS.
Tools & Technologies BigQuery, Cloud SQL, REST/Apigee, GCS, Pub/Sub, Dataflow, Composer, Dataplex, Spanner Graph (or Neo4j/Neptune/TigerGraph/RDF-SPARQL equivalent), Vector Search, Python, SQL Salary and Other Compensation:
Key Responsibilities • Own data source connectivity: build and maintain adapters to connect master data and work-ticket APIs via BigQuery, Cloud SQL, REST/Apigee, GCS, and Pub/Sub. • Own data profiling and inference: profile source data for quality, statistical patterns, dependencies, and lineage ahead of ontology mapping.
Core Skills • Source-system connectivity via BigQuery, Cloud SQL, REST/Apigee, GCS, and Pub/Sub adapters. • Data profiling: quality assessment, pattern/dependency detection, and lineage capture.
• Strong Python and SQL. • Hands-on experience with GCP data services: BigQuery, Dataflow, Pub/Sub, Composer, Cloud SQL, GCS. • Experience with data profiling, lineage, and metadata catalog tooling (e.g., Dataplex or equivalent).
• Own data profiling and inference: profile source data for quality, statistical patterns, dependencies, and lineage ahead of ontology mapping. • Stand up and operate the Knowledge Core — the graph and search backbone — using Spanner Graph (or an equivalent property-graph/RDF platform), Dataplex, BigQuery, and Vector Search. • Build batch and streaming ingestion pipelines that keep the graph and catalog current as source systems change.
• Data profiling: quality assessment, pattern/dependency detection, and lineage capture. • Graph and search backbone operations on Spanner Graph (or an equivalent property-graph/RDF platform), Dataplex, BigQuery, and Vector Search. • Batch and streaming pipeline design (Dataflow, Composer, Pub/Sub).
• Experience with data profiling, lineage, and metadata catalog tooling (e.g., Dataplex or equivalent). • Working familiarity with a property graph or RDF platform — Spanner Graph, Neo4j, Amazon Neptune, TigerGraph, JanusGraph, or an RDF/SPARQL store. Spanner Graph itself is not required; Cypher, Gremlin, or SPARQL query experience is an accepted equivalent and ramps up quickly. Preferred Qualifications
Your next step
Complete your application on careers.cognizant.com. The employer’s form will show what is required.
Already applied? Track this application
About Cognizant
- People
- About 351,600 in 2025, up 4% from the year before.Annual report (SEC Form 10-K)
- Company
- Listed as CTSH.
- H-1B visas
- 1,401 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
Role Summary
Build the connectivity, profiling, and graph/search backbone that the ontology runs on — turning raw source systems into clean, lineage-tracked, query able knowledge.
Key Responsibilities
• Own data source connectivity: build and maintain adapters to connect master data and work-ticket APIs via BigQuery, Cloud SQL, REST/Apigee, GCS, and Pub/Sub.
• Own data profiling and inference: profile source data for quality, statistical patterns, dependencies, and lineage ahead of ontology mapping.
• Stand up and operate the Knowledge Core — the graph and search backbone — using Spanner Graph (or an equivalent property-graph/RDF platform), Dataplex, BigQuery, and Vector Search.
• Build batch and streaming ingestion pipelines that keep the graph and catalog current as source systems change.
• Implement data quality checks, schema discovery, and the metadata catalog, surfacing issues to the Architect and Data Domain SME.
• Capture and maintain data lineage from source system through ontology mapping to graph representation.
• Support the Architect's structural-ontology mapping by supplying profiled schemas, dependency maps, and sample data.
• Feed clean, well-profiled data to the ML/Applied Scientists for entity-matching and inference model development.
• Implement governance and control-plane requirements at the pipeline level: IAM scoping, encryption, and lineage tracking set by the Architect.
• Monitor pipeline health, performance, and cost across ingestion, profiling, and graph-load jobs.
Core Skills
• Source-system connectivity via BigQuery, Cloud SQL, REST/Apigee, GCS, and Pub/Sub adapters.
• Data profiling: quality assessment, pattern/dependency detection, and lineage capture.
• Graph and search backbone operations on Spanner Graph (or an equivalent property-graph/RDF platform), Dataplex, BigQuery, and Vector Search.
• Batch and streaming pipeline design (Dataflow, Composer, Pub/Sub).
• Metadata catalog and data-quality tooling.
• Pipeline-level governance: IAM scoping, encryption, and lineage instrumentation.
Required Qualifications
• 5+ years in data engineering, including building ingestion and metadata pipelines at scale.
• Strong Python and SQL.
• Hands-on experience with GCP data services: BigQuery, Dataflow, Pub/Sub, Composer, Cloud SQL, GCS.
• Experience with data profiling, lineage, and metadata catalog tooling (e.g., Dataplex or equivalent).
• Working familiarity with a property graph or RDF platform — Spanner Graph, Neo4j, Amazon Neptune, TigerGraph, JanusGraph, or an RDF/SPARQL store. Spanner Graph itself is not required; Cypher, Gremlin, or SPARQL query experience is an accepted equivalent and ramps up quickly.
Preferred Qualifications
• Direct hands-on experience with Spanner Graph specifically.
• Telecom OSS/BSS experience; TM Forum SID/eTOM familiarity.
• Apigee or another API gateway for source connectivity.
• GCP Data Engineer certification.
Tools & Technologies
BigQuery, Cloud SQL, REST/Apigee, GCS, Pub/Sub, Dataflow, Composer, Dataplex, Spanner Graph (or Neo4j/Neptune/TigerGraph/RDF-SPARQL equivalent), Vector Search, Python, SQL
Salary and Other Compensation:
Applications will be accepted until Dec 06, 2026.
The annual salary for this position is between $80,000 - $140,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- 401(k) plan and contributions
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Applications will be accepted until Dec 06, 2026. The annual salary for this position is between $80,000 - $140,000 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
- Location & working pattern
Phoenix, Arizona, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.