Experienced Data Engineer

About the role

BPMI is seeking an experienced Data Engineer to join our team. This position offers a competitive salary range of $88,000 - $166,300, commensurate with experience.

Responsibilities

• Evaluate and design data pipelines, warehouses, and integration strategies that ensure scalability, reliability, and compliance with BPMI standards.
• Analyze existing and future datasets for both technical (from system development concepts through the end-of-life system support) and business (business and logistics data analysis) functions.
• Develop and implement robust extract, transform, and load (ETL) processes to manage data movement across environments.
• Collaborate with data owners to scope problems and deliver solutions that improve engineering decision making and simplify business processes.
• Recommend improvements to database architecture and storage solutions based on performance, security, and future scalability needs.
• Troubleshoot complex data issues, perform root cause analyses, and resolve integration and quality problems proactively.
• Model and optimize data structures that support analytics, dashboards, and predictive modeling.
• Create visualization and graphic user interfaces using Power BI or code development.
• Innovate data engineering practices by introducing automation, orchestration, and monitoring tools that streamline operations.
• Create comprehensive documentation to ensure knowledge transfer and consistency.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, or related field.
• Minimum 5 years of relevant experience in data engineering, preferably in a healthcare or similar industry.
• Experience with SQL, Python, and other programming languages.
• Familiarity with data warehousing technologies such as AWS Redshift, Google BigQuery, or Azure Synapse Analytics.
• Strong understanding of data modeling, ETL processes, and data governance principles.
• Experience with data visualization tools like Tableau or Power BI.
• Excellent problem-solving skills and ability to work independently and collaboratively.
• Ability to communicate effectively with cross-functional teams, including IT, business analysts, and data scientists.