Data Engineer II

mPulse Mobile - Tucson, AZ

Full-time - Mid Level

Remote - Tucson, AZ

Professional, Scientific, and Technical Services

About the position

mPulse is seeking a Healthcare Data Engineer II to join its data engineering team. This role is essential for designing, developing, and maintaining the data platform that supports various data-driven healthcare initiatives. The ideal candidate will have a strong background in data engineering, particularly within the healthcare sector, and will be proficient in SQL, with excellent critical thinking skills.

Responsibilities

• Translate complex healthcare data into actionable insights to drive healthcare quality and efficiency.
• Perform data manipulation and statistical analysis to identify trends, patterns, and insights.
• Read, write, debug, and refactor SQL queries with proficiency, with experience in PostgreSQL or MS SQL Server being a plus.
• Assist with the development and maintenance of dashboards, reports, and visualizations to communicate findings to stakeholders.
• Assist with the design, development, and maintenance of analytic datasets including data quality and benchmarking assessments.
• Work with clinical analytics teams to operationalize analytic and reporting innovations.
• Execute a variety of clinical and financial ad hoc analyses in an efficient and timely manner.
• Design workflows and improve automation, performance, efficiency, and productivity of data pipeline products.
• Analyze complex data issues, identify root causes, and propose solutions clearly and concisely to both technical and non-technical audiences.
• Collaborate with cross-functional teams to gather requirements, design data solutions, and ensure data integrity.
• Document processes, specifications, and procedures.

Requirements

• Bachelor's degree with coursework in statistics; a graduate degree in a related discipline is desirable.
• A minimum of 3 years of relevant data engineering and analytic experience, preferably using healthcare claims data.
• Highly proficient in reading, writing, debugging, and refactoring SQL queries.
• Strong quantitative and problem-solving skills with the ability to communicate technical concepts to non-technical stakeholders effectively.
• Strong attention to detail and a commitment to delivering high-quality solutions.
• Strong analytical and organizational skills with a focus on data accuracy and consistency.
• Familiarity with data visualization tools such as Tableau and Looker Studio.
• Knowledge of data modeling, data warehousing, and ETL processes.
• Experience with version control systems and data pipeline orchestration tools.

Nice-to-haves

• Experience in MS SQL Server is strongly preferred; experience with PostgreSQL or Redshift SQL is desirable.
• Familiarity with data visualization tools such as Tableau or Looker is desirable.
• Familiarity with version control using git is desirable.