Overview We are seeking an expert‑level Senior Data Engineer to design and build a modern data foundation that transforms complex healthcare data into trusted, connected, and analytics‑ready intelligence. This role plays a critical part in supporting regulatory reporting, enterprise analytics, and long‑term interoperability strategy. You will operate at the intersection of data engineering and architecture, helping move the organization from basic data exchange to true, insight‑driven interoperability across clinical, claims, enrollment, quality, and regulatory domains. This is a hands‑on, highly autonomous role ideal for someone who enjoys owning complex problems and shaping data strategy from the ground up. Key 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 Required Qualifications - 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 Ideal Candidate Profile - 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 Work Environment & Details - 100% Remote - Contract opportunity (6 months) - Agile, collaborative, and fast‑paced environment - High‑visibility initiative with meaningful ownership and impact Job Type & LocationThis is a Contract position based out of Omaha, NE. Pay and BenefitsThe pay range for this position is $58.00 - $78.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace TypeThis is a fully remote position. Application DeadlineThis position is anticipated to close on Mar 31, 2026. h4>About TEKsystems: We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

• Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in • Strike the right balance between lending expertise and providing an inclusive environment where others’ ideas can be heard and championed • Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible • Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization • Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in a unified manner • Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One’s Tech talent

• Design and lead scalable, cloud-native data platforms • Build high-performance pipelines using Python and SQL • Collaborate with machine learning teams • Emphasize architecture, governance, and best practices • Create robust ETL/ELT pipelines • Lead projects focusing on data architecture and AI-driven data workflows

• Serve as the Snowflake subject matter expert within the Data Platform Operations team, providing specialized expertise for platform architecture, administration, and optimization. • Monitor, triage, and resolve production ETL/ELT pipeline incidents and alerts, with emphasis on Snowflake-related issues including query performance, warehouse contention, and data loading failures. • Manage Snowflake access controls, role-based security, and data governance policies to ensure compliance with security and privacy requirements. • Optimize Snowflake platform performance and costs through proactive monitoring, query optimization, warehouse sizing, resource management, and storage efficiency improvements. • Collaborate with data engineers and operations team members to troubleshoot data pipeline failures, performance bottlenecks, and data quality issues. • Implement and maintain operational standards, monitoring solutions, and runbooks for Snowflake platform management and ETL support. • Design and enforce Snowflake best practices including data modeling patterns, security configurations, and cost management strategies. • Support the operations team in evaluating, implementing, and maintaining data integration tools, orchestration platforms (Airflow, dbt), and CI/CD processes. • Implement data governance frameworks including data quality standards, metadata management, and lineage tracking within Snowflake. • Partner with DevOps, security, and data engineering teams to ensure seamless platform operations and continuous improvement.