Qualifications

• 11+ years of overall experience in IT or data engineering roles.
• Hands-on experience in system design and operational stability.
• Deep understanding of data architecture, modeling, and integration.
• Proficient in programming with Python and Java, along with modern data processing technologies.
• Familiarity with cloud data services (AWS/Azure) and data warehousing solutions.
• Strong SQL skills and experience with cloud-native relational databases, such as Snowflake or Postgres.
• Excellent communication and interpersonal skills.

Responsibilities

• Lead the design and maintenance of scalable data solutions, like data lakes and warehouses.
• Represent the Data Operations Hub team in discussions on data solutions.
• Collaborate with cross-functional teams to ensure data products meet business needs.
• Evaluate and select data technologies to drive the adoption of emerging solutions.
• Develop architectural models using tools like Spark and support data initiatives.
• Contribute to the agency's data engineering community by advocating for best practices.
• Engage in coding and design work to implement solutions in production.

Benefits

• Work for a key state agency focused on significant health outcomes.
• Opportunity to influence the modernization of the State Medicaid system.
• Engage in a groundbreaking project with potential for national recognition.
• Work collaboratively in a cross-functional team environment to drive innovation.