Associate Data Engineer

Responsibilities

• Handle support tickets and operational issues reported by internal teams and external partners
• Perform KTLO tasks including monitoring pipeline health and responding to alerts
• Conduct data source discovery, profiling, and documentation of data structures
• Assist with data validation and testing using SQL queries
• Support data quality initiatives by running diagnostics and documenting findings
• Help maintain and improve documentation for existing data systems and pipelines
• Assist senior engineers with debugging data pipeline issues and tracing transformations
• Conduct quality assurance activities and review data outputs
• Perform exploratory data analysis to understand data patterns
• Learn and apply data engineering best practices including Git and code reviews

Requirements

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field
• Strong SQL proficiency for data exploration and validation
• Proficiency in Python or another programming language
• Basic understanding of data modeling, ETL/ELT concepts, and pipeline architecture
• Familiarity with version control (Git)
• Strong communication and documentation skills
• Analytical mindset and strong problem-solving skills
• Attention to detail and commitment to data accuracy

Preferred Qualifications

• Experience with healthcare data (FHIR, HL7, CCD) or claims data
• Familiarity with cloud platforms like AWS, Databricks, or Snowflake
• Experience with dbt or other transformation frameworks
• Knowledge of orchestration tools like Airflow or Databricks Workflows
• Experience with Apache Spark or distributed computing
• Background in healthcare, pharmaceutical, or regulated industries