Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Senior Data Engineer 2
USA - Remote
Actively hiring, first seen by us 11 days ago- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
Remote — work setting source
Employment Type: Full-Time (US Remote) Work Location: US Remote (Up to 25% travel to client sites across the US) Role Overview
Listed location: USA - Remote
Read the full posting- Employment
Full-time — employment source
Experience: 5+ years of software/data engineering experience Employment Type: Full-Time (US Remote) Work Location: US Remote (Up to 25% travel to client sites across the US)
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingWe are looking for a Senior Knowledge Graph Engineer to design, build, and productionize knowledge graph solutions for healthcare and clinical data.
Our architecture uses a hybrid graph approach, combining a Labeled Property Graph (LPG) for patient/clinical data with an RDF-based graph for clinical ontology and semantic knowledge.
Build scalable pipelines that transform healthcare/FHIR data into graph representations
Implement mappings between patient/clinical data and clinical ontology concepts
Develop reusable mapping and transformation patterns, not one-off builds
Build automated validation to catch unresolved mappings and graph-quality issues
From the employer’s posting
We are looking for a Senior Knowledge Graph Engineer to design, build, and productionize knowledge graph solutions for healthcare and clinical data.
Our architecture uses a hybrid graph approach, combining a Labeled Property Graph (LPG) for patient/clinical data with an RDF-based graph for clinical ontology and semantic knowledge.
Build scalable pipelines to transform healthcare/FHIR data into appropriate graph representations.
Implement mappings between patient/clinical data and concepts represented in the clinical ontology.
Develop reusable mapping and transformation patterns rather than one-off implementations.
Implement automated validation and testing to identify unresolved mappings, inconsistent relationships, and other graph-quality issues.
What you’ll bring
All qualificationsCore experience
- 5+ years of software/data engineering experience, including hands-on experience with knowledge graphs or graph technologies.
- Strong understanding of knowledge graph and graph data modeling concepts.
- Hands-on experience with either:- Labeled Property Graphs, such as Neo4j/Cypher or equivalent, or
- Experience building production data ingestion, transformation, or integration pipelines.
- Experience with graph databases and/or RDF triple stores.
- Understanding of entity identity, graph relationships, mappings, provenance, and data quality.
Qualification wording
5+ years of software/data engineering experience, including hands-on experience with knowledge graphs or graph technologies.
Strong understanding of knowledge graph and graph data modeling concepts.
Hands-on experience with either:- Labeled Property Graphs, such as Neo4j/Cypher or equivalent, or
Experience building production data ingestion, transformation, or integration pipelines.
Experience with graph databases and/or RDF triple stores.
Understanding of entity identity, graph relationships, mappings, provenance, and data quality.
About Quantiphi
As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us 11 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 24, 202611 days ago
- Recorded sightings
- 14
- Last seen by us
- Nov 4, 2026
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 11
Similar jobs usually come down between day 5 and day 54.
From 10,736 similar postings that came down. Coming down is not always a hire.
Quantiphi is hiring
30 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Engineer hiring is steady
- Takes jobs down at a usual pace
- 3% 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.
- Java
- Python
- AWS
- Neo4j
- Snowflake
- GCP
Where the posting names them
- Working knowledge of, or ability to work across, both LPG and RDF graph models. - Strong programming skills in Python, Java, or similar languages. - Experience building production data ingestion, transformation, or integration pipelines.
Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value—not just technology for technology’s sake. Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. For more details, visit: Website or LinkedIn Page.
- Strong understanding of knowledge graph and graph data modeling concepts. - Hands-on experience with either:- Labeled Property Graphs, such as Neo4j/Cypher or equivalent, or - RDF/semantic technologies, such as RDF/RDFS, OWL, and SPARQL.
Your next step
Complete your application on quantiphi.wd1.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
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- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
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
While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!
About Quantiphi
Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI—driving measurable outcomes at the very core of their operations.
Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value—not just technology for technology’s sake.
Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact.
For more details, visit: Website or LinkedIn Page.
Role: Senior Knowledge Graph Engineer
Experience: 5+ years of software/data engineering experience
Employment Type: Full-Time (US Remote)
Work Location: US Remote (Up to 25% travel to client sites across the US)
Role Overview
We are looking for a Senior Knowledge Graph Engineer to design, build, and productionize knowledge graph solutions for healthcare and clinical data.
Our architecture uses a hybrid graph approach, combining a Labeled Property Graph (LPG) for patient/clinical data with an RDF-based graph for clinical ontology and semantic knowledge.
The role will focus on translating ontology and mapping specifications into scalable graph solutions, including data transformation, graph ingestion, concept/entity linking, provenance, validation, and querying.
You will work closely with ontology, terminology, FHIR, clinical/domain, and data engineering teams to translate agreed semantic and mapping decisions into robust technical implementations.
Key Responsibilities:
- Develop, implement, build, and maintain production knowledge graph solutions across LPG and RDF graph technologies.
- Build scalable pipelines to transform healthcare/FHIR data into appropriate graph representations.
- Implement mappings between patient/clinical data and concepts represented in the clinical ontology.
- Develop reusable mapping and transformation patterns rather than one-off implementations.
- Implement consistent approaches for entity identity, canonical identifiers/URI/IRI, relationships, and concept linking.
- Maintain provenance and traceability between source data, mapping rules, and resulting graph entities and relationships.
- Develop and optimize graph queries using Cypher and/or SPARQL.
- Implement automated validation and testing to identify unresolved mappings, inconsistent relationships, and other graph-quality issues.
- Work with ontology, FHIR, terminology, and clinical SMEs to clarify ambiguous or missing mapping requirements.
- Participate in technical design, architecture reviews, code reviews, and engineering best practices.
Required Qualifications:
- 5+ years of software/data engineering experience, including hands-on experience with knowledge graphs or graph technologies.
- Strong understanding of knowledge graph and graph data modeling concepts.
- Hands-on experience with either:
- Labeled Property Graphs, such as Neo4j/Cypher or equivalent, or
- RDF/semantic technologies, such as RDF/RDFS, OWL, and SPARQL.
- Working knowledge of, or ability to work across, both LPG and RDF graph models.
- Strong programming skills in Python, Java, or similar languages.
- Experience building production data ingestion, transformation, or integration pipelines.
- Experience with graph databases and/or RDF triple stores.
- Understanding of entity identity, graph relationships, mappings, provenance, and data quality.
- Ability to translate conceptual models and mapping specifications into production implementations.
- Ability to work effectively with evolving requirements and cross-functional technical/domain teams.
Other Qualifications (OQs)
- Hands-on experience with both LPG and RDF/semantic knowledge graphs.
- Healthcare or life sciences data experience.
- Familiarity with HL7 FHIR, including concepts such as Coding, CodeableConcept, Reference, and Identifier.
- Experience with ontology-driven data integration or semantic mapping.
- Experience with SHACL or other graph/semantic validation approaches.
- Experience with terminology/concept normalization and canonical concept mapping.
- Familiarity with clinical terminologies such as SNOMED CT, LOINC, RxNorm, ICD, or UMLS.
- Cloud and CI/CD experience.
What Sets You Apart?
- Hands-on experience with both LPG and RDF/semantic knowledge graphs.
- Healthcare or life sciences data experience with familiarity with HL7 FHIR and clinical terminologies (SNOMED CT, LOINC, RxNorm, ICD, or UMLS).
- Experience with ontology-driven data integration, semantic mapping, and SHACL/semantic validation approaches.
- Cloud and CI/CD engineering experience in production environment.
What’s In It For YOU At Quantiphi?
- Make an impact at one of the world’s fastest-growing AI-first digital engineering companies.
- Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.
- Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.
- Stay ahead of the curve, immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 1000 companies.
- If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
USA - Remote
Experience: 5+ years of software/data engineering experience Employment Type: Full-Time (US Remote) Work Location: US Remote (Up to 25% travel to client sites across the US) Role Overview
More source context
We are looking for a Senior Knowledge Graph Engineer to design, build, and productionize knowledge graph solutions for healthcare and clinical data. Our architecture uses a hybrid graph approach, combining a Labeled Property Graph (LPG) for patient/clinical data with an RDF-based graph for clinical ontology and semantic knowledge. The role will focus on translating ontology and mapping specifications into scalable graph solutions, including data transformation, graph ingestion, concept/entity linking, provenance, validation, and querying.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.