TEKsystems · 3 days ago
Data Engineer - MUST HAVE AZURE & IICS - 100% Remote
TEKsystems is a leading provider of business and technology services that accelerates business transformation for its customers. The Data Engineer will be responsible for designing, constructing, and maintaining the data infrastructure to support AI initiatives, focusing on building scalable data pipelines and ensuring data integrity for analysis and model training.
Information Technology
Responsibilities
Design, build, and maintain scalable and efficient ETL/ELT data pipelines to ingest data from internal and external sources (e.g., APIs from EPIC, Workday, relational databases, flat files) and data warehouse to ensure data is clean, accessible, and ready for analysis and model training
Collaborate with the Data Analyst(s) and other stakeholders to understand their data requirements and provide them with clean, well-structured datasets
Implement data governance, security, and quality controls to ensure data integrity and compliance
Automate data ingestion, transformation, and validation processes
Work with our broader IT team to ensure seamless integration of data infrastructure with existing systems
Contribute to the evaluation and implementation of new data technologies and tools
Qualification
Required
ETL/ELT Development: Strong experience in designing and building data pipelines using ETL/ELT tools and frameworks
SQL: Advanced proficiency in SQL for data manipulation, transformation, and optimization
Programming: Strong programming skills in Python (or a similar language) for scripting, automation, and data processing
Data Warehousing: Experience with data warehousing concepts and technologies
EPIC EMR: Experience with EPIC Health System's databases (Chronicles, Clarity, or Caboodle) and ability to extract data and built ETL pipelines
Informatica: Hands-on experience with Informatica ETL toolkit (IICS preferred)
Problem-Solving: Proven ability to troubleshoot and resolve data pipeline issues
Data Modeling: Experience with various data modeling techniques (e.g., dimensional modeling)
Real-time Processing: Familiarity with real-time data streaming technologies (e.g., Kafka, Azure Event Hubs)
Education: Bachelor's degree in Computer Science, Engineering, or related field
Preferred
API Integration: Experience building data connectors and integrating with APIs from major enterprise systems (e.g., EPIC, Workday)
Cloud Computing: Hands-on experience with at least one major cloud platform's data services (e.g., Microsoft Azure Data Factory, Azure Fabric, IICS)
Version Control: Proficiency with Git for code management and collaboration
CI/CD: Knowledge of Continuous Integration/Continuous Deployment practices for data pipelines
AI/ML MLOps: A basic understanding of the machine learning lifecycle and how to build data pipelines to support model training and deployment
Experience with Microsoft Fabric: Direct experience with Microsoft Fabric's integrated data platform (OneLake, Data Factory, Synapse Data Engineering
Benefits
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)
Company
TEKsystems
At TEKsystems, they understand people. Every year they deploy over 80,000 IT professionals at 6,000 client sites across North America,
H1B Sponsorship
TEKsystems has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (46)
2024 (52)
2023 (33)
2022 (22)
2021 (36)
2020 (53)
Funding
Current Stage
Late StageRecent News
2025-11-19
2025-10-29
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