Senior Data Engineer

The Senior Data Engineer designs, builds, and maintains scalable data pipelines and architectures to support the Denials AI workflow.

Requirements

Bachelor's or master's degree in Computer Science, Data Engineering, or related field5+ years of hands-on experience building and operating production-grade data pipelinesSolid experience with workflow orchestration tools (Dagster) and transformation frameworks (DBT) or other similar toolsStrong SQL skills on PostgreSQL for data modeling and query optimizationWorking knowledge with AWS data services: Athena, Glue, SQS, SNS, IAM, and CloudWatchBasic proficiency in Python and Python data frameworks (Pandas, PySpark)Experience with version control (GitHub) and CI/CD for data projectsFamiliarity with healthcare data standards and HIPAA complianceExperience mentoring or leading small technical effortsProficiency in Microsoft Office SuiteStrong interpersonal skills, ability to communicate well at all levels of the organizationStrong problem solving and creative skills and the ability to exercise sound judgment and make decisions based on accurate and timely analysesHigh level of integrity and dependability with a strong sense of urgency and results orientedExcellent written and verbal communication skills required.