Location: Hybrid Onsite from Day 1 (Wednesday & Thursday mandatory)
Duration: 1 Year (Possible Extension)
Note: No remote-only option. Non-local candidates must be willing to relocate starting Day 1.
Key Responsibilities
Analyze large and complex datasets to identify trends, patterns, and actionable insights
Design, develop, and maintain interactive dashboards using Power BI, SAP BusinessObjects, and Crystal Reports
Develop and optimize SQL queries for data extraction and transformation
Create and optimize queries in Hummingbird BI Query
Architect and implement end-to-end data pipelines using AWS services (S3, Glue, Lambda, EMR, Redshift, Kinesis, SageMaker)
Design and optimize scalable cloud-native data and AI platforms
Develop robust ETL/ELT workflows ensuring data quality, governance, and security
Collaborate with business units to translate requirements into technical specifications
Partner with data architects and developers to align reporting solutions with business goals
Ensure compliance with MDHHS standards and policies
Provide troubleshooting and performance tuning for dashboards and reports
Document data flows, reporting standards, and processes
Required Qualifications
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 using 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 with AWS cloud and AI platforms
Strong proficiency in SQL
Experience with Hummingbird BI/Query, SAP BusinessObjects, Tableau, and Power BI
Strong dashboard development and data visualization experience
Solid understanding of relational databases and data warehouse concepts (Teradata preferred)
Excellent analytical, communication, and problem-solving skills
Preferred Qualifications
Experience in Medicaid or healthcare reporting
BI performance optimization experience
Experience in AWS/Azure/Google Cloud Platform cloud data platforms
Modern data architecture and machine learning support experience
Exposure to Agile/DevOps methodologies
Knowledge of data governance and compliance standards
Soft Skills
Strong interpersonal and stakeholder communication skills
Excellent time management and organizational abilities
Adaptability in dynamic environments
Critical thinking and attention to detail
Proactive problem-solving mindset
Team collaboration and ownership mentality
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