Job DescriptionData Engineering & Integration
Coordinate and implement Specialty Pharmacy and Market Access data integration solutions in partnership with Commercial Data Lake teams.
Develop ETL/ELT pipelines using PySpark and Python to ingest, transform, aggregate, and orchestrate data for end-user consumption.
Build competency across Market Access and Patient Services datasets, including:
Rebate data
EDI sales and chargeback data
Master data
Copay and affordability data
Medical and prescription claims
Care model and patient services data
Apply best practices for data quality monitoring, validation, and reporting.
Leverage big data tools and architectures (e.g., Spark, Hive, Impala, cloud data platforms) to answer critical business questions.
Knowledge Graph Architecture & Development
Architect, design, and build Neo4j-based knowledge graph structures supporting Market Access and Patient Services use cases.
Ingest, model, and connect complex pharma datasets including patients, coverage, contracts, benefits, services, and gross-to-net (GTN) components.
Design and optimize graph schemas, nodes, relationships, metadata layers, indexing strategies, and query performance.
Ensure graph data is accurate, traceable, and aligned with enterprise data governance and compliance standards.
AI / LLM Integration
Design and integrate LLM-powered chatbot and assistant workflows on top of the knowledge graph.
Implement prompt engineering, retrieval-augmented generation (RAG), and domain-specific grounding using graph and document sources.
Ensure AI components follow enterprise standards for explainability, auditability, and compliance.
Collaborate with enterprise AI teams to align with approved frameworks, guardrails, and tooling.
Backend Services, Metadata & Logging
Build backend services that interface with the knowledge graph, LLM systems, and field-facing applications.
Implement robust metadata, logging, and monitoring frameworks to support auditability and regulated environments.
Utilize cloud-native services (e.g., object storage, NoSQL stores, serverless compute, APIs) where appropriate.
Agile Delivery & Stakeholder Collaboration
Deliver at high velocity in an agile, iterative environment with visible daily progress.
Participate in standups, technical design reviews, and sprint planning.
Own work end-to-end: design, implementation, testing, and validation.
Proactively identify data gaps, design risks, and integration issues before they become blockers.
Establish and maintain strong working relationships across technical teams and external partners, managing expectations and communication effectively.
Required Skills & Experience
Expert-level experience with:
Data architecture and data modeling
Graph modeling and Neo4j
Python and PySpark
AI/LLMs and chatbot architectures
Cloud platforms (AWS preferred)
Strong hands-on experience integrating complex enterprise datasets.
Proven ability to work independently with minimal direction.
Experience delivering MVPs or proto@types under tight timelines.
Experience working in highly regulated environments (data privacy, audit, compliance).
Preferred / Nice-to-Have Qualifications
Prior experience with Market Access, Patient Services, or Specialty Pharmacy data
Experience contributing to enterprise LLM pilots or production AI solutions
Familiarity with AWS services such as DynamoDB, Lambda, S3, API Gateway
Experience designing AI-driven insights layers on top of enterprise data platforms
Job Type & Location
This is a Contract position based out of Chicago, IL.
Pay and Benefits
The pay range for this position is $90.00 - $90.00/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 Type
This is a hybrid position in Chicago,IL.
Application Deadline
This position is anticipated to close on Mar 5, 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.
