Senior Data Engineer​/Analyst

• Job Category Senior Data Engineer/Analyst
• Relocation Expense Covered No
• Employee Type Exempt - FT
• Required Degree Masters
• Manage Others No

• Improve and maintain the infrastructure for analytics and reporting – i.e. data warehouses, data lakes, and data pipelines.
  • Lead the design and development of real‑time data ingestion projects, collaborating with engineers to deploy API functionality in Snowflake.
  • Create and manage data pipelines using Python and Airflow, automating repetitive tasks to free bandwidth for strategic initiatives.
• Establish and maintain data governance practices, including version control and separate test and production environments, to ensure data accuracy, security, and compliance.
• Design and implement comprehensive roadmaps for infrastructure and analytics development to support organizational goals.
• Collaborate with internal partners and organizations to design and develop reporting solutions and analytic studies that support business needs.
• Develop, validate, and execute complex queries, and create detailed reports and analyses to answer business questions; interpret results and make recommendations based on findings.
• Manage data engineering project plans and timelines, ensure project commitments to quality and on‑time deliverables.
• Evaluate data needs for assigned projects, ensure data integrity and suitability, and determine data collection methods, metrics definitions, and evaluation methods.
• Turn data into actionable information through reporting solutions, present analyses and reports to internal customers and stakeholders.
• Define and categorize metrics in collaboration with business partners and industry experts to facilitate efficient and accurate reporting.
• Troubleshoot technical details and issues, ensure seamless operations and data accuracy.
• Mentor junior analysts by providing guidance on best practices, resolve complex issues, and delegate challenging projects to support their professional growth.
• Develop productive relationships with vendor partners to identify opportunities to improve and optimize systems and overcome obstacles.
• Apply statistical methods to data, establish meaningful metrics, and analyze geospatial data to derive location‑based business insights.
• Lead advanced analytics initiatives, incorporate external data sources and develop AI and ML use cases to enhance data‑driven decision‑making.
  • Develop AI and ML use cases for NJHIN, exploring innovative solutions to improve healthcare analytics.
• Build and maintain data pipelines with Astro Airflow.
• Perform the foregoing using
  • SQL, Microsoft T‑SQL, PostgreSQL PL/pgSQL and Snowflake
  • Agile developments methods (Scrum, Kanban) and tools (e.g., Atlassian JIRA)
  • HL7 messages
  • Scripting
  • Power BI, Tableau, or a similar BI technology

EDUCATION AND EXPERIENCE REQUIREMENT: Requires a Bachelor’s degree in Financial Actuarial Mathematics or Related Field and 3 years of experience in the job offered or 3 years of experience in the Related Occupation.

RELATED OCCUPATION:

• Data Analyst or any other job title performing the following job duties:
  • Collaborate with internal partners and organizations to design and develop reporting solutions and analytic studies that support business needs.
  • Develop, validate, and execute complex queries, and create detailed reports and analyses to answer business questions; interpret results and make recommendations based on findings.
  • Evaluate data needs for assigned projects, ensure data integrity and suitability, and determine data collection methods, metrics definitions, and evaluation methods.
  • Turn data into actionable information through reporting solutions, present analyses and reports to internal customers and stakeholders.
  • Define and categorize metrics in collaboration with business partners and industry experts to facilitate efficient and accurate reporting.
  • Troubleshoot technical details and issues, ensure seamless operations and data accuracy.
  • Apply statistical methods to data, establish meaningful metrics, and analyze geospatial data to derive location‑based business insights.
  • Perform the foregoing using
    • BI technology

Salary Information: In compliance with the NJ Pay Transparency law, the annual…