Data Engineer - Role DescriptionWork Environment & Data Landscape
Operates within a multi-source, distributed data environment
Data originates from:
Multiple databases and data warehouses
Files and cloud-based storage systems
Significant emphasis on data consolidation and transformation
Flexibility to define and implement data engineering tools and architecture
Exposure to evolving AI/ML use cases requiring structured and reusable datasets
This environment requires working with incomplete or fragmented data ecosystems, with a focus on building scalable and maintainable data structures.
Team Role & Focus
Acts as a foundational contributor to AI/ML initiatives by enabling high-quality data access
Partners with:
Subject Matter Experts (SMEs)
Data Scientists
Engineering Teams
Responsible for shaping how data is structured, stored, and consumed
Expected to operate with a high degree of autonomy and technical decision-making
Key ResponsibilitiesData Pipeline Development
Design and build ETL/ELT pipelines to ingest and process data from multiple sources
Integrate structured and unstructured data into centralized datasets
Ensure pipelines are scalable, reliable, and maintainable
Data Modeling & Architecture
Develop and maintain structured data models tailored to AI/ML use cases
Design datasets and data subsets optimized for downstream consumption
Build and manage databases supporting analytics and ML workflows
Graph & Knowledge Systems
Develop and maintain knowledge graphs and graph-based data structures
Build and manage graph databases (e.g., Neo4j) to support knowledge-driven applications
Structure relationships across datasets to enable advanced querying and insights
Workflow Orchestration & Data Operations
Orchestrate data workflows and pipeline execution
Ensure data availability, timeliness, and quality across systems
Monitor and improve data reliability and processing efficiency
Collaboration & Data Enablement
Work closely with SMEs and data science teams to define data requirements
Translate business and analytical needs into structured data solutions
Support downstream AI/ML workflows through well-designed data foundations
Required Skills & Experience
Strong foundation in data engineering principles and best practices
Proven experience designing and implementing ETL/ELT pipelines
Expertise in SQL and relational data modeling
Experience integrating data from multiple, distributed sources
Ability to work independently and make technical design decisions
Preferred Experience
Experience with graph databases (Neo4j strongly preferred)
Knowledge of knowledge graph or knowledge base development
Familiarity with workflow orchestration tools (e.g., Apache Airflow or similar)
Experience supporting AI/ML data use cases
Future / Optional Exposure
Healthcare data standards (e.g., HL7, FHIR) may become relevant but are not required initially
Technologies & Tools (Environment Exposure)
Graph databases: Neo4j
SQL-based systems and relational databases
Workflow orchestration tools (e.g., Airflow)
Cloud platforms (Azure preferred)
Python ecosystem (optional but beneficial)
Candidate Profile
Mid to sr -level Data Engineer
Strong independent contributor with hands-on experience
Comfortable working with fragmented or evolving data environments
Able to design and implement scalable data solutions with minimal oversight
Skills
AWS, SQL, Python, Data, Neo4J, Azure, Apache Airflow, Pandas, FHIR, HL7
Top Skills
AWS, SQL, Python, Data, Neo4J, Azure, Apache Airflow, Pandas, FHIR, HL7
Additional Skills & Qualifications
Healthcare data standards (e.g., HL7, FHIR) may become relevant but are not required initially
Python (e.g., Pandas, NumPy, PySpark)
Exposure to vector databases and retrieval-augmented generation (RAG)
Cloud platform experience (Azure preferred)
Experience Level
Intermediate Level
Job Type & Location
This is a Contract position based out of Deerfield, IL.
Pay and Benefits
The pay range for this position is $70.00 - $85.00/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 fully remote position.
Application Deadline
This position is anticipated to close on Jun 30, 2026.
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.
San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.
Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.
