5 days ago
Base Salary
$80k - $140k/yr
Responsibilities
- Build and maintain source-system adapters using BigQuery, Cloud SQL, REST/Apigee, GCS, and Pub/Sub.
- Profile source data for quality, statistical patterns, dependencies, and lineage before ontology mapping.
- Operate 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 to keep graph and catalog data current.
- Implement data-quality checks, schema discovery, metadata catalog capabilities, and lineage tracking.
- Provide profiled schemas, dependency maps, and sample data to support structural-ontology mapping.
- Feed clean, profiled data to ML and applied-science teams for entity-matching and inference-model development.
- Implement pipeline-level IAM scoping, encryption, lineage instrumentation, and other governance controls.
- Monitor pipeline health, performance, and cost across ingestion, profiling, and graph-load jobs.
Requirements
- At least 5 years of data-engineering experience, including building ingestion and metadata pipelines at scale.
- Strong Python and SQL skills.
- Hands-on experience with GCP data services including BigQuery, Dataflow, Pub/Sub, Composer, Cloud SQL, and GCS.
- Experience with data profiling, lineage, and metadata-catalog tooling such as Dataplex or an equivalent.
- Working familiarity with a property-graph or RDF platform, including Spanner Graph, Neo4j, Amazon Neptune, TigerGraph, JanusGraph, or an RDF/SPARQL store.
- Cypher, Gremlin, or SPARQL query experience is accepted as an equivalent to Spanner Graph experience.
- Preferred qualifications include direct Spanner Graph experience, telecom OSS/BSS experience, TM Forum SID/eTOM familiarity, API-gateway experience such as Apigee, and GCP Data Engineer certification.
Benefits
- Remote work arrangement.
- Annual discretionary incentive-program eligibility based on performance and applicable plan terms.
- Medical, dental, vision, and life insurance.
- Paid holidays and paid time off.
- 401(k) plan and contributions.
- Long-term and short-term disability coverage.
- Paid parental leave.
- Employee Stock Purchase Plan.
- Applications are accepted until December 6, 2026.
Tech Stack
Categories
Data Engineering
About Cognizant
Cognizant is a public IT services and consulting firm that designs, builds, and runs enterprise technology, including digital engineering, cloud modernization, data/AI, and managed services. It sells consulting, systems integration, and outsourcing on multi-year engagements to large enterprises in healthcare, banking, retail, communications, and manufacturing. Founded in 1994 and headquartered in Teaneck, New Jersey, Cognizant is NASDAQ-listed (CTSH) and a Fortune 500 company.