Role Description We are seeking a skilled Data Engineer with Python and JSON to design, develop, and maintain scalable data pipelines. The ideal candidate will work with structured and unstructured data, ensuring efficient data processing, transformation, and storage. - Develop and optimize data pipelines using Python. - Process, parse, and transform data using JSON and other formats. - Integrate data from various sources, including APIs and databases. - Ensure data integrity, performance, and security in ETL processes. - Collaborate with data scientists and engineers to build scalable solutions. Qualifications - Experience in Python. - Experience working with JSON for data transformation. - Hands-on experience with ETL processes and data pipeline development. - Knowledge of databases (SQL/NoSQL) and cloud platforms (AWS, GCP, or Azure). Company Description NAVTECH INC is an E-Verified Company located at 1600 Golf Road, Suite 1200, Rolling Meadows, IL 60008. Contact: (224) 348-1340 | Email: Alex@navtechusa.com Website: www.Navtechusa.com

Role Description I have an opportunity for a "Data Modeler / Data Engineer" - (Chicago, IL - 100% Remote). Strong Data Modeling background is a must, with experience transforming logical models into physical database designs using best practices to ensure high data quality, reduce redundancy, and optimize performance. - Strong experience with Data Modeling to build complex enterprise data models. - Optimize, update, and maintain logical and physical data models, source to target mappings to support new and existing projects. - Work with the Application Development team to implement data strategies, build data flows, and develop conceptual data models. - Experience in designing multi-phased cloud data strategies, including designing multi-phased implementation roadmaps. - Design and develop scalable data ingestion frameworks to transform a variety of datasets. - Deep experience with designing and deploying end-to-end solutions with a cloud platform's analytic services including storage, permissions, private cloud, database services, virtual machines, and parallel processing technologies. - Experience analyzing, architecting, designing, and developing cloud data solutions, preferably with technologies such as Databricks, Snowflake. - Expert in working with business and understanding requirements to build multi-dimensional models to support business and reporting needs. - Expert in SQL, with the ability to write and debug complex SQL and stored procedures. - Exposure to programming language, preferably Python. - Overall background in data modeling, metadata management, data warehousing concepts, ETL development, and data quality. - Strong communications skills (verbal and written) and the ability to effectively communicate design recommendations to a varied audience. Qualifications - Strong Data Modeling background. - Experience with Data Modeling to build complex enterprise data models. - Experience in designing multi-phased cloud data strategies. - Expert in SQL. - Exposure to programming language, preferably Python. Requirements - Ability to transform logical models into physical database designs. - Experience optimizing, updating, and maintaining data models. - Experience with data ingestion frameworks. - Experience with cloud data solutions, preferably Databricks, Snowflake. - Strong communication skills. Benefits - 100% Remote work. - 12 Months Contract.

Role Description The Data Analytics Engineer 3 is responsible for designing and creating tables within data marts, data lakes, and data warehouses, and all related extraction, transformation, and load of data functions. Their goal is to make data accessible so that organizations can use it to evaluate and optimize their performance. Responsibilities include: - Building systems that collect, manage, and convert raw data into usable information for analytics developers and business analysts. - Developing and testing architectures that enable data extraction and transformation for predictive or prescriptive modeling. - Expanding and optimizing data and data pipeline architecture. - Optimizing data flow and collection for cross-functional teams. - Taking direction and guidance from lead data engineers and department leadership. - Mentoring junior data engineers and guiding users across the organization to promote data education and a data-driven culture. Qualifications - Required Bachelor's Degree in Business, Computer Science, Engineering, Information Systems, Public Health, or related field. - Preferred Master's Degree in Computer Science, Business, Healthcare Management, Information Systems, or related field. - 5 years of experience building data pipelines using ETL technologies such as SSIS or Informatica. - 3 years of SQL development with SQL Server/Oracle environment. - 2 years of experience with cloud data platforms and associated tools such as MS Azure, AWS, or GCP. Requirements - Deep understanding of modern data architectures, including lakehouse design patterns and scalable data processing approaches. - Hands-on experience with Azure data platforms, including ADLS, Azure Data Factory (ADF), Databricks, and related lakehouse technologies. - Strong experience designing and implementing metadata-driven, scalable data pipelines. - Proficiency in Python and PySpark for building data pipelines, transformations, and distributed processing workloads. - Experience integrating data across systems using APIs and other modern data connectivity patterns. - Proficiency with DevOps and DataOps practices, including CI/CD for data pipelines and cloud infrastructure. - Advanced SQL skills with experience managing and optimizing relational data platforms. - Familiarity with Microsoft Fabric is a plus. - Experience with healthcare data platforms such as Epic Cogito is a plus. Benefits - Comprehensive benefit offerings for eligible employees. Company Description With 11 ministries and access points across Indiana, Franciscan Health is one of the largest Catholic health care systems in the Midwest. Franciscan Health takes pride in hiring coworkers that provide compassionate, comprehensive care for our patients and the communities we serve.

Role Description - Develop and maintain medium-complexity data hall layouts and infrastructure designs. - Perform rack elevations, cable routing designs, power and space planning activities. - Conduct infrastructure assessments and recommend improvements for efficiency and scalability. - Collaborate with cross-functional teams on implementation and deployment activities. - Troubleshoot design conflicts and support issue resolution efforts. - Ensure design documentation complies with company and industry standards. - Support project delivery timelines and milestone tracking. - Assist in mentoring junior engineers and reviewing basic design work. Qualifications - Strong understanding of data center infrastructure and design standards. - 2–4 years of relevant experience in data center or telecom infrastructure environments. - Proficiency in AutoCAD and infrastructure documentation. - Good communication and collaboration skills. Requirements - Works independently on moderately complex projects. - Begins contributing to process improvements and technical standards. - Handles multiple concurrent assignments with limited supervision. Benefits - Medical provided through UHC (PPO, HSA, Surest options) / Medical provided through Kaiser (HMO option only) for California employees only. - Dental provided through UHC. - Nationwide Vision provided by UHC. - Flexible Spending Account for Health & Dependent Care. - Pre-Tax Account for Commuter Benefit/Parking & Transit (location-specific). - Continuing Education and Professional Development via various integrated platforms, e.g. Udemy and Coursera. - Corporate Wellness Program provided by Goomi Group. - Employee Assistance Program. - Wellness Days. - 401k Plan. - Basic and Supplemental Life Insurance. - Short Term & Long Term Disability. - Critical Illness, Critical Hospital, and Voluntary Accident Insurance. - Tuition Reimbursement (available 6 months after start date, capped). - Paid Time Off (accrued and prorated, maximum of 120 hours annually). - Paid Holidays. - Any other statutory leaves, paid time, or other ancillary benefits required under state and federal law.