AWS AI Data Engineer
Listed on 2026-02-28
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IT/Tech
Data Analyst, Data Engineer, Data Warehousing, Data Science Manager
Hybrid/Local AWS AI Data Engineer (5 pages resume/15+ years experience) with data analysis, governance, reporting, PySpark, Python, Data Structures, Teradata DW, ETL, SQL, Hummingbird BI/Query, SAP BO, Tableau, Power BI, Medicaid, Azure/Google Cloud Platform, ML, Dev Ops, Agile experience.
Location:
Lansing, MI (DTMB)
Duration: 12 Months
Hybrid:
Resource will be working a hybrid schedule. NO REMOTE ONLY OPTION. Will need to be onsite from day 1, two days a week (Wed/Thur ONSITE).
- Bachelor's degree in computer science, Information Systems, Data Analytics, or related field.
- 3+ years of experience in report development and data analysis within large-scale environments.
- 3+ years of experience in AI Data engineering with AWS platforms.
- 3+ years of experience in python, PySpark, and Advanced Data Structures.
- 3+ years of experience in Teradata Data Warehouse and ETL utilities.
- Experience in AWS cloud and AI platform.
- Proficiency in SQL, Hummingbird BI/Query, SAP Business Objects, Tableau, and Power BI.
- Strong experience with dashboard development and data visualization best practices.
- Solid understanding of relational databases and data warehouse concepts, preferably Teradata.
- Excellent analytical, problem‑solving, and communication skills.
- Bachelor's degree in computer science, Information Systems, Data Analytics, or related field.
- 3+ years of experience in report development and data analysis within large-scale environments.
- 3+ years of experience in AI Data engineering with AWS platforms.
- 3+ years of experience in python, PySpark, and Advanced Data Structures.
- 3+ years of experience in Teradata Data Warehouse and ETL utilities.
- Experience in AWS cloud and AI platform.
- Proficiency in SQL, Hummingbird BI/Query, SAP Business Objects, Tableau, and Power BI.
- Strong experience with dashboard development and data visualization best practices.
- Solid understanding of relational databases and data warehouse concepts, preferably Teradata.
- Excellent analytical, problem‑solving, and communication skills.
- Experience with Medicaid or healthcare-related reporting.
- Familiarity with performance optimization techniques for BI tools.
- Experience in cloud data platforms (AWS, Azure, Google Cloud Platform) and integration with Teradata.
- Ability to design and implement modern data architectures supporting advanced analytics and machine learning.
- Familiarity with BI/reporting tools.
- Exposure to Agile / Dev Ops methodologies.
- Knowledge of data governance and compliance standards.
- Bachelor's degree in computer science, software engineering, or relevant field required.
- Strong interpersonal skills with the ability to collaborate effectively across teams and communicate technical concepts to non-technical stakeholders.
- Excellent time management and organizational skills to handle multiple priorities and meet deadlines.
- Adaptability and flexibility to work in a dynamic environment with evolving business needs.
- Critical thinking and attention to detail to ensure accuracy and quality in reporting and analysis.
- Proactive problem‑solving approach and willingness to take initiative in improving processes and solutions.
- Ability to foster a positive team environment and contribute to shared goals.
We are seeking an experienced Senior Report Developer to serve as a Data Analyst and Dashboard Developer within the MDHHS Analytics and Visualization Division. This role focuses on analyzing complex datasets, generating actionable insights, and developing interactive dashboards using Power BI, SAP Business Objects, Crystal Reports, and BI Query. In addition, the position will involve designing and optimizing cloud‑native data and AI platforms leveraging Amazon Web Services (AWS) to support advanced analytics, machine learning, and real‑time data processing initiatives.
The ideal candidate will have strong analytical skills, proficiency in reporting tools, and the ability to translate business requirements into effective data visualizations and scalable data solutions.
- Analyze large and complex datasets to identify trends, patterns, and actionable…
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