Trainee Data Engineer Python Jobs in Chicago, IL

• 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.

• 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

• 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

• 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

• 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

• Orchestrate data workflows and pipeline execution
• Ensure data availability, timeliness, and quality across systems
• Monitor and improve data reliability and processing efficiency

• 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

• 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

• 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

• Healthcare data standards (e.g., HL7, FHIR) may become relevant but are not required initially

• Graph databases: Neo4j
• SQL-based systems and relational databases
• Workflow orchestration tools (e.g., Airflow)
• Cloud platforms (Azure preferred)
• Python ecosystem (optional but beneficial)

• 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

AWS, SQL, Python, Data, Neo4J, Azure, Apache Airflow, Pandas, FHIR, HL7

AWS, SQL, Python, Data, Neo4J, Azure, Apache Airflow, Pandas, FHIR, HL7

• 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)

Intermediate Level

This is a Contract position based out of Deerfield, IL.

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)

This is a fully remote position.

This position is anticipated to close on Jun 30, 2026.

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.

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.