TEKsystemsRemote
Senior Data Engineer
United States of America
Contract
2 hours ago
$58 - $78 USD
H1B Sponsor Likely
Key skills
Data engineeringAzure ecosystemSemantic modelingKnowledge graphsDatabricksAzure Cosmos DBData governanceHealthcare payer datacommunicatorProactive thinkerAIMachine LearningData EngineeringAnalyticsSparkAzureCosmos DB
About this role
TEKsystems is a leading provider of business and technology services, and they are seeking an expert-level Senior Data Engineer to design and build a modern data foundation for healthcare data. The role involves creating a semantic and graph-based data layer, engineering scalable data pipelines, and collaborating with various teams to deliver trusted datasets.
Responsibilities:
- Design and implement a semantic and graph‑based data layer to connect healthcare data across multiple domains
- Build and maintain knowledge graphs, ontologies, and semantic models that define and relate enterprise data
- Engineer scalable data pipelines using Databricks (Spark, Delta Lake, Medallion Architecture)
- Design and optimize graph persistence models using Azure Cosmos DB
- Establish data lineage, metadata, and traceability frameworks to support audit and compliance requirements
- Enable regulatory and analytics reporting by creating unified data definitions and impact analysis
- Partner with analytics, finance, quality, and compliance teams to deliver interpretable and trusted datasets
- Design data structures that support future AI and machine learning use cases
Requirements:
- 7–10+ years of experience in data engineering
- Deep experience within the Azure ecosystem
- Strong expertise in: Semantic modeling and data architecture
- Knowledge graphs and ontology design
- Azure Cosmos DB (graph modeling and performance tuning)
- Databricks (PySpark, Delta Lake, notebooks, structured streaming)
- Data governance, lineage, and metadata frameworks
- Strong understanding of healthcare payer data, including claims, clinical, eligibility, quality, and regulatory data
- Proven ability to independently design and implement new data architectures with minimal oversight
- Thinks like an architect and executes like an engineer
- Comfortable owning large, ambiguous initiatives
- Proactive and anticipates data quality, compliance, and scalability challenges
- Strong conceptual thinker who can translate complex relationships into usable data models
- Confident communicator who can partner effectively with both technical and non‑technical teams